Standardization of a Normal Distribution: Bryce reads in the latest issue of Pigskin Roundup that the average number of rushing yards per game by NCAA Division II starting running backs is 50 with a standard deviation of 8 yards. If the number of yards per game (X) is normally distributed, what is the probability that a randomly selected running back has 64 or fewer rushing yards

The entire peach pie contains 2240 calories.

To find the number of calories in the entire peach pie, we need to multiply the number of calories in each slice by the total number of slices. In this case, there are 8 equal slices in the peach pie, and each slice has 280 calories. Therefore, the total number of calories in the entire peach pie is 8 multiplied by 280, which equals 2240 calories.

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Step-by-step explanation:

A rental car agency charges $30.00 per day  plus per mile $0.15.

Let x be the number of miles travelled by car

Their total cost = 30 + (0.15x)   ... (1)

Another rental car  agency charges $36.00 per day plus $0.10  per mile

Their total cost = 36 + (0.10x)   ... (2)

Equating (1) and (2), we get

30 + (0.15x) = 36 + (0.10x)

36 - 30 = 0.15x - 0.10x

6 = 0.05x

x = 120 miles

They should travel 120 mils in one day for both rental agencies  to cost the same amount to rent

Final answer:

To find the number of miles that would have to be driven in one day for both rental agencies to cost the same, set up an equation and solve for the number of miles ,  The two rental agencies would cost the same amount to rent if 120 miles were driven in one day.

Explanation:

Let's denote the number of miles driven in one day as x. The total cost for the first rental car agency would be $30.00 + $0.15x, and the total cost for the second agency would be $36.00 + $0.10x. In order for both rental agencies to cost the same amount, we can set up the equation:

$30.00 + $0.15x = $36.00 + $0.10x

Simplifying the equation, we get:

$0.05x = $6.00

Dividing both sides of the equation by $0.05, we find:

x = $120.00

Therefore, the two rental agencies would cost the same amount to rent if 120 miles were driven in one day.

Answer:

•A c-chart is the appropriate control chart

• c' = 8.5

• Control limits, CL = 8.5

Lower control limits, LCL = 0

Upper control limits, UCL = 17.25

Step-by-step explanation:

A c chart is a quality control chart used for the number of flaws per unit.

Given:

Past inspection data:

Number of units= 100

Total flaws = 850

We now have:

c' = 850/100

= 8.5

Where CL = c' = 8.5

For control limits, we have:

CL = c'

UCL = c' + 3√c'

LCL = c' - 3√c'

The CL stands for the normal control limit, while the UCL and LCL are the upper and lower control limits respectively

Calculating the various control limits we have:

CL = c'

CL = 8.5

UCL = 8.5 + 3√8.5

= 17.25

LCL = 8.5 - 3√8.5

= -0.25

A negative LCL tend to be 0. Therefore,

LCL = 0

The appropriate control chart for the textile mill is the p-chart. The center line is 8.5 flaws per unit, and the control limits can be calculated using the formula LCL = p - Z * sqrt((p(1-p)) / n) and UCL = p + Z * sqrt((p(1-p)) / n).

The appropriate control chart for the textile mill to establish a control procedure on flaws in towels is the p-chart. This chart is used to monitor the proportion of defects in a process. The center line of the p-chart is calculated using the formula p = defects / units inspected. In this case, the center line is 850 / 100 = 8.5 flaws per unit. The control limits are calculated using the formula:

Where p is the proportion of defects, Z is the Z-score corresponding to the desired level of significance (such as 0.06), and n is the number of units inspected. The Z-score can be calculated using a Z-table or a statistical software. The control chart is used to determine if the process is in control or if there are any special causes of variation that need to be addressed.

Answer:

38 + 10x + 4x - 2

14x + 36

answer is c

6x

Answer:

[tex]z=\frac{0.843-0.653}{\sqrt{0.748(1-0.748)(\frac{1}{300}+\frac{1}{300})}}=5.358[/tex]    

[tex]p_v =2*P(Z>5.358) = 4.2x10^{-8}[/tex]  

Comparing the p value with the significance level given [tex]\alpha=0.05[/tex] we see that [tex]p_v<\alpha[/tex] so we can conclude that we have enough evidence to reject the null hypothesis, and we can say that we have singificantly differences between the two proportions.  

Step-by-step explanation:

Data given and notation  

[tex]X_{1}=253[/tex] represent the number with no defects in sample 1

[tex]X_{2}=196[/tex] represent the number with no defects in sample 1

[tex]n_{1}=300[/tex] sample 1

[tex]n_{2}=300[/tex] sample 2

[tex]p_{1}=\frac{253}{300}=0.843[/tex] represent the proportion of number with no defects in sample 1

[tex]p_{2}=\frac{196}{300}=0.653[/tex] represent the proportion of number with no defects in sample 2

z would represent the statistic (variable of interest)  

[tex]p_v[/tex] represent the value for the test (variable of interest)  

[tex]\alpha=0.05[/tex] significance level given

Concepts and formulas to use  

We need to conduct a hypothesis in order to check if is there is a difference in the the two proportions, the system of hypothesis would be:  

Null hypothesis:[tex]p_{1} - p_2}=0[/tex]  

Alternative hypothesis:[tex]p_{1} - p_{2} \neq 0[/tex]  

We need to apply a z test to compare proportions, and the statistic is given by:  

[tex]z=\frac{p_{1}-p_{2}}{\sqrt{\hat p (1-\hat p)(\frac{1}{n_{1}}+\frac{1}{n_{2}})}}[/tex]   (1)  

Where [tex]\hat p=\frac{X_{1}+X_{2}}{n_{1}+n_{2}}=\frac{253+196}{300+300}=0.748[/tex]  

z-test: Is used to compare group means. Is one of the most common tests and is used to determine whether the means of two groups are equal to each other.  

Calculate the statistic  

Replacing in formula (1) the values obtained we got this:  

[tex]z=\frac{0.843-0.653}{\sqrt{0.748(1-0.748)(\frac{1}{300}+\frac{1}{300})}}=5.358[/tex]    

Statistical decision

Since is a two sided test the p value would be:  

[tex]p_v =2*P(Z>5.358) = 4.2x10^{-8}[/tex]  

Comparing the p value with the significance level given [tex]\alpha=0.05[/tex] we see that [tex]p_v<\alpha[/tex] so we can conclude that we have enough evidence to reject the null hypothesis, and we can say that we have singificantly differences between the two proportions.  

Answer:

70

Step-by-step explanation: The sum of all interior angles in a triangle equal 180 degrees. Your problem already shows an angle of 90 degrees ( right angle) and an angle of 20 degrees.

180-90-20=70

Answer:

70°

Step-by-step explanation:

Every triangle's angles add to 180°

Therefore,

90+20=110

180-110=70°

Answer:

[tex]t=\frac{6.31-6}{\frac{1.2}{\sqrt{35}}}=1.5283[/tex]    

d. 1.5283

Step-by-step explanation:

Data given and notation    

[tex]\bar X=6.31[/tex] represent the sample mean    

[tex]s=1.2[/tex] represent the sample standard deviation    

[tex]n=35[/tex] sample size    

[tex]\mu_o =6[/tex] represent the value that we want to test    

t would represent the statistic (variable of interest)    

[tex]p_v[/tex] represent the p value for the test (variable of interest)    

State the null and alternative hypotheses.    

We need to conduct a hypothesis in order to check if the mean is higher than 6 seconds, the system of hypothesis are :    

Null hypothesis:[tex]\mu \leq 6[/tex]    

Alternative hypothesis:[tex]\mu > 6[/tex]    

Since we don't know the population deviation, is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:    

[tex]t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}}[/tex] (1)    

t-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".    

Calculate the statistic    

We can replace in formula (1) the info given like this:    

[tex]t=\frac{6.31-6}{\frac{1.2}{\sqrt{35}}}=1.5283[/tex]    

d. 1.5283

Answer:

a) The 95% of confidence intervals for the average spending

(23.872 , 32.128)

b) The calculated value t= 1< 1.711( single tailed test) at 0.05 level of significance with 24 degrees of freedom.

The null hypothesis is accepted

A survey of 25 young professionals statistically that the population mean is less than $30

Step-by-step explanation:

Step:-(i)

Given data a survey of 25 young professionals fond that they spend an average of $28 when dining out, with a standard deviation of $10

The sample size 'n' = 25

The mean of the sample   x⁻  = $28

The standard deviation of the sample (S) = $10.

Level of significance ∝=0.05

The degrees of freedom γ =n-1 =25-1=24

tabulated value t₀.₀₅ = 2.064

Step 2:-

The 95% of confidence intervals for the average spending

([tex](x^{-} - t_{\alpha } \frac{S}{\sqrt{n} } ,x^{-} + t_{\alpha }\frac{S}{\sqrt{n} } )[/tex]

[tex](28 - 2.064 \frac{10}{\sqrt{25} } ,28 + 2.064\frac{10}{\sqrt{25} } )[/tex]

( 28 - 4.128 , 28 + 4.128)

(23.872 , 32.128)

a) The 95% of confidence intervals for the average spending

(23.872 , 32.128)

b)

Null hypothesis: H₀:μ<30

Alternative Hypothesis: H₁: μ>30

level of significance ∝ = 0.05

The test statistic

[tex]t = \frac{x^{-}-mean }{\frac{S}{\sqrt{n} } }[/tex]

[tex]t = \frac{28-30 }{\frac{10}{\sqrt{25} } }[/tex]

t = |-1|

The calculated value t= 1< 1.711( single tailed test) at 0.05 level of significance with 24 degrees of freedom.

The null hypothesis is accepted

Conclusion:-

The null hypothesis is accepted

A survey of 25 young professionals statistically that the population mean is less than $30

Answer:

0.0046 = 0.46% probability that the sample mean would differ from the population mean by more than 3.1 gallons

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the zscore of a measure X is given by:

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean [tex]\mu[/tex] and standard deviation [tex]s = \frac{\sigma}{\sqrt{n}}[/tex].

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this problem, we have that:

[tex]\mu = 86, \sigma = 7, n = 41, s = \frac{7}{\sqrt{41}} = 1.0932[/tex]

If 41 racing cars are randomly selected, what is the probability that the sample mean would differ from the population mean by more than 3.1 gallons?

Less than 86 - 3.1 = 82.9 or more than 86 + 3.1 = 89.1. Since the normal distribution is symmetric, these probabilities are equal, which means that we can find one of them and multiply by 2.

Less than 82.9

pvalue of Z when X = 82.9. So

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

By the Central Limit Theorem

[tex]Z = \frac{X - \mu}{s}[/tex]

[tex]Z = \frac{82.9 - 86}{1.0932}[/tex]

[tex]Z = -2.84[/tex]

[tex]Z = -2.84[/tex] has a pvalue of 0.0023

2*0.0023 = 0.0046

0.0046 = 0.46% probability that the sample mean would differ from the population mean by more than 3.1 gallons

Final answer:

The probability that the sample mean of 41 racing cars would differ from the population mean by more than 3.1 gallons is 0.0046 or 0.46%.

Explanation:

To calculate the probability that the sample mean of 41 racing cars would differ from the population mean by more than 3.1 gallons, you use the Central Limit Theorem, which states that the sampling distribution of the sample mean will be normally distributed if the sample size is large enough. In this case, 41 is usually considered large enough. The formula to calculate the z-score for a given sample mean difference is z = (X - µ) / (σ/√n), where X is the sample mean, µ is the population mean, σ is the standard deviation, and n is the sample size.

First, we calculate the standard error of the mean (SEM): SEM = σ/√n = 7/√41 ≈ 1.0934. Next, we calculate the z-score for a difference of 3.1 gallons: z = 3.1 / 1.0934 ≈ 2.8354.

Now, we look up the z-score in standard normal distribution tables or use a calculator to find the probability corresponding to a z-score of 2.8354, which gives us the probability of a sample mean being 3.1 gallons or more away from the population mean on one side. However, since the question asks for the probability of the sample mean differing by more than 3.1 gallons on either side, we have to multiply this probability by 2 to get the final answer.

To obtain the final probability, we use statistical software or tables, which typically provide the probability for the region beyond a certain z-score. If P(z > 2.8354) is the probability of being beyond 2.8354 standard deviations from the mean on one side, the probability of being more than 3.1 gallons away from the mean on either side is 2 * P(z > 2.8354). Assuming P(z > 2.8354) = 0.0023 (from a standard normal distribution table), the final probability would be 2 * 0.0023 = 0.0046 or rounded to four decimal places, 0.0046.

Answer:

13.08

Step-by-step explanation:

The simplified result of the given mathematical expression (16 – 1.42 + (–1.5)) is 13.08. This is achieved by following the order of operations for addition and subtraction.

To answer this question, we need to simplify the given expression which includes subtraction and addition of numbers.

The expression is 16 – 1.42 + (–1.5). To simplify, we follow the order of operations, which for this question is just addition and subtraction from left to right.

First, subtract 1.42 from 16, which gives us 14.58.

Next, we need to add -1.5 to 14.58. When we add a negative number, it's the same as subtracting that number. Therefore, 14.58 - 1.5 = 13.08.

The simplified result of 16 – 1.42 + (–1.5) is 13.08.

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Answer:

a) X ~ exp ( 10 )

b) E(X) = 0.1 , Var (X) = 0.01

c)  P ( X < 0.07 ) = 0.00698

Step-by-step explanation:

Solution:-

- The spike train, used to study neural activity, the given time in between consecutive spikes (ISI) where the firing rate = 10 neurons per seconds.

- Denote a random variable "X"represent a single interspike interval (ISI) having an exponential distribution.

- Where X follows exponential distribution defined by event rate parameter i.e λ.

                               X ~ Exp ( λ )

- The event rate (λ) is the number of times an event occurs per unit time. Since we are studying a single interspike interval (ISI) - which corresponds to the firing rate. So, event rate (λ) = firing rate = 10 neurons per second. Hence, the distribution is:

                               X ~ Exp ( 10 )

- The expected value E(X) denotes the amount of time in which a single an event occurs; hence, the time taken for a single neuron.

                               E(X) = 1 / λ

                               E(X) = 1 / 10

                               E(X) = 0.1 s per neuron.

- The variance is the variation in the time taken by a single neuron to be emitted. It is defined as:

                               Var (X) = 1 / λ^2

                               Var (X) = 1 / 10^2

                               Var (X) = 0.01 s^2

- The probability that ISI is less than t = 0.07 seconds: P ( X < t = 0.07 s):

- The cumulative distribution function for exponential variate "X" is:

                                P ( X < t ) = 1 - e^(-λ*t)

- Plug the values and the determine:

                                P ( X < 0.07 ) = 1 - e^(-0.1*0.07)

                                                      = 1 - 0.99302

                                                      = 0.00698

Answer:

We accept H₀ we don´t have evidence of differences between the information from the sample and the population mean

Step-by-step explanation:

From data and excel (or any statistics calculator) we get:

X = 249,6 ml         and       s  1,26 ml

Sample mean and sample standard deviation respectively.

Population mean  μ₀  = 250 ml

We have a normal distribution but we dont know the standard deviation of the population. Furthermore we have a two tails test since we are finding if the sample give us evidence of differences ( in both senses ) when we compare them with the amount of water spec ( 250 ml )

Our test hypothesis are: null hypothesis       H₀    X = μ₀

Alternative Hypothesis                                 Hₐ     X ≠ μ₀

We also know that sample size is 8  therefore df  =  8 - 1   df = 7 , with this value and the fact that we are required to test at α = 0,05 ( two tails test)

t = 2,365

Then we evaluate our interval:

X ± t* (s/√n)   ⇒   249,6 ±  2,365 * ( 1,26/√8 )

 249,6 ±  2,365 * (1,26/2,83)  ⇒ 249,6 ±  2,365 *0,45

249,6 ± 1,052

P [ 250,652 ; 248,548]

Then the population mean 250 is inside the interval, therefore we must accept that the bottles have being  fill withing the spec. We accept H₀

Answer:

Because the p-value of 0.4304 is greater than the significance level of 0.05, we fail to reject the null hypothesis. We conclude the data provide convincing evidence that the mean amount of water in all the bottles filled that day does not differ from the target value of 250 milliliters.

Step-by-step explanation:

Answer: Angle Bisector

Step-by-step explanation: You divided into two equal angles, you bisected. You turned F, I, G and I, G, H  into two separate triangles.

Answer:

(2x100,000) 200,000,00

Step-by-step explanation:

200,000

Answer: 2 hundred thousands

Explanation: To determine what the digit 2 means in 7,239,103, if we put 7,239,103 into the place value chart, we can recognize that the digit 2 is in the hundreds column of the thousands period.

So in this problem, 2 refers to 2 hundred thousands.

Place value chart is attached

in the image provided.

Answer:

infinite solutions

Step-by-step explanation:

5(- 3x - 2) - (x - 3) = -4(4x + 5) + 13

Ditribute

-15x -10 -x +3 = -16x - 20+13

Combine like term

-16x -7 = -16x -7

Add 16x to each side

-16x+16x -7 = -16x+16x-7

-7 =-7

This is always true so we have infinite solutions.

answers

All real numbers are solutions

step by step

5(−3x−2)−(x−3)=−4(4x+5)+13

Step 1: Simplify both sides of the equation.

5(−3x−2)−(x−3)=−4(4x+5)+13

5(−3x−2)+−1(x−3)=−4(4x+5)+13(Distribute the Negative Sign)

5(−3x−2)+−1x+(−1)(−3)=−4(4x+5)+13

5(−3x−2)+−x+3=−4(4x+5)+13

(5)(−3x)+(5)(−2)+−x+3=(−4)(4x)+(−4)(5)+13(Distribute)

−15x+−10+−x+3=−16x+−20+13

(−15x+−x)+(−10+3)=(−16x)+(−20+13)(Combine Like Terms)

−16x+−7=−16x+−7

−16x−7=−16x−7

Step 2: Add 16x to both sides.

−16x−7+16x=−16x−7+16x

−7=−7

Step 3: Add 7 to both sides.

−7+7=−7+7

0=0

Answer:

109/10 or 10 9/10

Step-by-step explanation:

Dividing something by 10 puts it one place after the decimal point.

so 9/10 becomes 0.9.

Answer:

10 9/10

Step-by-step explanation:

Answer:

C)[tex]64 feet^{2}[/tex]

Step-by-step explanation:

The formula for the area of a trapezium is :

[tex]\frac{a+b}{2} *height[/tex]

A is the top line

B is the bottom line

To work this out you would first add 6 to 10, which is 16. Then you would divide 16 by 2, which is 8. Then you would multiply 8 by 8, which is 64 [tex]feet^{2}[/tex]

1) Add 6 to 10.

[tex]6+10=16[/tex]

2) Divide 16 by 2.

[tex]16/2=8[/tex]

3) Multiply 8 by 8.

[tex]8*8=64 feet^{2}[/tex]

Answer:

D - Can't be determined

Step-by-step explanation:

10 * 2 *4 * 16 = 1280

1280/2 = 640

The question involves creating a network representation for multiple-source, multiple-destination distribution, for which nodes represent suppliers and counties, arcs represent the paths with capacities and costs, depicting the logistics of natural gas distribution by Tri-County Utilities, Inc.

Explanation:

The student is asking for a network representation for a supply and distribution problem faced by Tri-County Utilities, Inc. This is related to operations research within the business field, specifically dealing with the optimization of supply chain logistics. The company must distribute natural gas, supplied by Southern Gas and Northwest Gas, to three different counties with varying demand and distribution costs. The aim is to represent this scenario using a network graph that visualizes the routes between the suppliers (Southern Gas and Northwest Gas) and the counties (Hamilton, Butler, and Clermont) along with the distribution costs for each route.

To create a network representation, start with two nodes representing the suppliers and add three additional nodes representing the counties. Then, six directed arcs are drawn from the suppliers to the counties. The capacities of the arcs emanating from Southern Gas should be labeled with 500 units, and those from Northwest Gas should be labeled with 400 units. Likewise, the demand at each county node should be assigned (Hamilton with 400 units, Butler with 200 units, and Clermont with 300 units). Lastly, the costs should be labeled on each of the arcs as provided: from Southern Gas to Hamilton, Butler, and Clermont, the costs are 10, 20, and 15 (in thousands of dollars) respectively, and from Northwest Gas, the costs are 12, 15, and 18 (in thousands of dollars).

Final answer:

The detailed answer explains how to create a network representation for the gas supply problem.

Explanation:

Network Representation:

To develop a network representation of this problem, we can create a graph with nodes representing the counties and the suppliers, and edges representing the distribution costs per unit between them. Here's a simple representation:

Nodes: Hamilton County, Butler County, Clermont County, Southern Gas, Northwest Gas

Edges with Costs:

Hamilton County to Southern Gas - $10

Butler County to Southern Gas - $20

Clermont County to Southern Gas - $15

Hamilton County to Northwest Gas - $12

Butler County to Northwest Gas - $15

Clermont County to Northwest Gas - $18

If the conditions for statistical inference for testing a difference in population proportions been met then we can say that  -(E )All conditions for making statistical inference have been met.

Step-by-step explanation:

We can test the claim and the assumptions  about the population proportion  under the following conditions

Thus we can say that by studying the question we can say that the above mentioned condition have been met.Hence

If the conditions for statistical inference for testing a difference in population proportions been met then we can say that  -(E )All conditions for making statistical inference have been met.

The conditions for statistical inference for testing a difference in population proportions have not been met.

In order to test for a difference in population proportions, certain conditions need to be met. Firstly, the condition for independence must be met, which means that random samples need to be selected. Secondly, the distribution of the difference in sample proportions needs to be approximately normal. This is determined by checking whether nO(pC) is greater than or equal to 10 and nO(1-pC) is greater than or equal to 10. In this case, the conditions for statistical inference have not been met because random samples were not selected (option A) and nN(pC) is not greater than or equal to 10 (option C).

Answer:

16:27

Step-by-step explanation:

16 white squares and 27 shaded squares

The ratio of the area of the unshaded parts to the area of the shaded parts is 4/5.

The numerical relationship between two values that demonstrates how frequently one value contains or is contained within another.

To find the ratio:

Required ratio =  number of unshaded columns / total number of shaded columns

In the given figure 1,

Total no. of columns =3 x 3 = 9

Number of columns shaded = 9 -1 = 8

In the given figure 2,

Total no. of columns = 4 x 4 = 16

Number of columns shaded = 16 - 4 = 12

In the given figure 3,

Total no. of columns = 5 x 5 = 25

Number of columns shaded = 25 - 9 = 16

Similarly;

In the figure 4,

Total no. of columns = 6 x 6 = 36

Number of columns shaded = 36 - 16 = 20

Required ratio =  number of unshaded columns / total number of shaded columns

​Required ratio = 16 / 20

​Required ratio = 4/5

Therefore, the ratio is 4/5.

To learn more about the ratio;

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Answer:

The 95% confidence interval for the proportion is (0.2824, 0.3672). The upper limit of the interval is higher than 32% = 0.32, which means that the confidence interval does not support this claim.

Step-by-step explanation:

In a sample with a number n of people surveyed with a probability of a success of [tex]\pi[/tex], and a confidence level of [tex]1-\alpha[/tex], we have the following confidence interval of proportions.

[tex]\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}[/tex]

In which

z is the zscore that has a pvalue of [tex]1 - \frac{\alpha}{2}[/tex].

For this problem, we have that:

[tex]n = 468, \pi = \frac{152}{468} = 0.3248[/tex]

95% confidence level

So [tex]\alpha = 0.05[/tex], z is the value of Z that has a pvalue of [tex]1 - \frac{0.05}{2} = 0.975[/tex], so [tex]Z = 1.96[/tex].

The lower limit of this interval is:

[tex]\pi - z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.3248 - 1.96\sqrt{\frac{0.3248*0.6752}{468}} = 0.2824[/tex]

The upper limit of this interval is:

[tex]\pi + z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.3248 + 1.96\sqrt{\frac{0.3248*0.6752}{468}} = 0.3672[/tex]

The 95% confidence interval for the proportion is (0.2824, 0.3672). The upper limit of the interval is higher than 32% = 0.32, which means that the confidence interval does not support this claim.

In this problem, we apply mathematical concepts related to statistics to determine whether a campaign claim is supported by a survey. The calculation of a 95% confidence interval supports Mayor Waffleskate's claim that no more than 32% of voters want her defeated.

The subject in question refers to confidence intervals and population proportions, both of which are topics in statistics. To answer it, we need to construct a 95% confidence interval for the proportion of voters who wish to see Mayor Waffleskate defeated in the election, based on a sample size of 468 voters, of which 152 express this sentiment.

The first step is to calculate the sample proportion (p), which is the number of 'successes' over the sample size, or in this case 152/468, which equals approximately 0.325.

Next, we apply the formula for the confidence interval for a population proportion, which i

Because the confidence interval (0.278, 0.372) includes the value of 0.32 stated by the Waffleskate campaign, it can be concluded that the claim that no more than 32% of registered voters wish to see her defeated is plausible or supported by this survey at the 95% confidence level.

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Answer:

12

Step-by-step explanation:

let y be the value of the gift card and x be the cost of a pair of jeans

The equation for Pablo

y-2x=36    Add 2x to both sides

y=36+2x

The equation for Greg

y-5x=0      Add 5x to both sides

y=5x

Now that we have isolated y in both equations, lets set them equal to each other

36+2x=5x      Subtract 2x from both sides

36=3x            Divide both sides by 3

12=x                x=12, which means that 1 pair of jeans costs $12

Final answer:

The cost of one pair of jeans is $12.

Explanation:

To find the cost of one pair of jeans, we can set up an equation using the information given.

Let's say the cost of one pair of jeans is x. Pablo bought 2 pairs of jeans, so he spent 2x.

He has $36 remaining on his gift card, which means the total amount he spent is the original amount on the gift card minus the remaining balance, which is 2x = original amount - $36.

Greg bought 5 pairs of jeans, so he spent 5x.

He has no money left on his gift card, so the total amount he spent is 5x = original amount.

We can write these two equations:

2x = original amount - $36 ... Equation 1

5x = original amount ... Equation 2

To solve this system of equations, we can substitute Equation 2 into Equation 1:

2x = 5x - $36

3x = $36

x = $12

Therefore, the cost of one pair of jeans is $12.

Answer:

Answer:

The first box plot.

Step-by-step explanation:

Step-by-step explanation:

In a box plot, the lower quartile is the right hand side of the box.  In the first plot, this is 3.

The upper quartile is the left hand side of the box.  In the first plot, this is 8.

The interquartile range is the difference between these two values:

8-3 = 5.

The requried total cost of filling her three bottles with olive oil is 2250 x $0.0084 = $18.90.

Simplification is the process of using rules of arithmetic and algebra to eliminate extraneous terms, factors, or operations from an expression, with the objective of obtaining a more manageable, manipulable, or solvable expression. One approach to simplification involves combining like terms, factoring, or utilizing the distributive property when simplifying an algebraic expression.

Here,
Each bottle holds 0.75 liters, which is equivalent to 750 milliliters. So, Jane fills a total of 3 x 750 = 2250 milliliters of olive oil.

The cost of the olive oil is $0.21 for every 25 milliliters, which means the cost per milliliter is $0.21/25 = $0.0084.

Therefore, the total cost of filling her three bottles with olive oil is 2250 x $0.0084 = $18.90.

Learn more about simplification here:

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It costs Jane $18.90 to fill her three bottles with olive oil, each holding 0.75 liters.

Calculating the Cost of Olive Oil

Jane has three bottles that each hold 0.75 liters. To find out how much it costs her to fill these bottles with olive oil, we need to make a few calculations.

Step-by-Step Calculation:

→ Total volume Jane needs:

= 3 bottles x 0.75 liters

= 2.25 liters

→ Convert liters to milliliters:

= 2.25 liters x 1000

= 2250 milliliters

→ Cost of 25 milliliters of oil: $0.21

→ Number of 25 milliliter increments in 2250 milliliters:

= 2250 / 25

= 90 increments

→ Total cost:

= 90 x $0.21

= $18.90

Therefore, it costs Jane $18.90 to fill her three bottles with olive oil.

Step-by-step explanation:

you are going to have to be more specific... please let us know which ones are the legs

Answer:

Correct options are A,B,D:

Step-by-step explanation:

Concert marketing: The college’s performing arts center wanted to investigate why ticket sales for the upcoming season significantly decreased from last year’s sales. The marketing staff collected data from a survey of community residents. Out of the 110 people surveyed, only 7 received the concert brochure in the mail.

The college's performing arts center should not calculate a confidence interval for the proportion of community residents who received the concert brochure by mail because there is no information on the randomness of the sample, and both n(p-hat) and n(1 minus p-hat) are less than 10.

The college's performing arts center should not calculate a confidence interval for the proportion of all community residents who received the concert brochure by mail based on the collected survey data for a few reasons. First, the sample needs to be random to provide a representative subset of the population, and there is no information provided to confirm that the sample used was random. Secondly, n(p-hat) is not greater than 10, which refers to the number of successes (7 residents received the brochure) not meeting the minimum requirement for the normal approximation to be valid. Lastly, n(1 minus p-hat) is also not greater than 10, indicating that the number of 'failures' (103 residents did not receive the brochure) also does not meet the condition for the central limit theorem to apply. Both the latter points touch upon the requirements for constructing a confidence interval for a proportion which is that np-hat as well as n(1-p-hat) should both be greater than 10 to approximate the binomial distribution with the normal distribution.

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Answer:

E. The entire population is measured in both cases, so the actual difference in means can be computed and a confidence interval should not be used.

Step-by-step explanation:

The entire population of Greek and Egyptian mathematicians was already measured by Amara. She can measure the actual difference in the mean. Therefore, she needn't use a confidence interval. It is mostly common for a researcher to be more interested in the difference between means than in the specific values of the means. The difference in sample means is used to compute the difference in population means.

Amara's sample is a random selection of Greek and Egyptian mathematicians. It is a smaller group drawn from the population that has the characteristics of the entire population. The observations and conclusions made against the sample data are attributed to the population. In this case, the entire position is measured.

A t-test is a type of inferential statistic used to determine if there is a significant difference between the means of two groups (Greek and Egyptian mathematicians) which may be related in certain features. It is mostly used when the data sets, like the data set recorded as the outcome from rolling a die 50 times, would follow a normal distribution and may have unknown variances. A t-test is used as a hypothesis testing tool, which allows testing of an assumption applicable to a population. Once the actual difference is known, a confidence interval should not be used.

Answer:

The number of ways  to award the prizes if it satisfies the given conditions is 94,109,400.

Step-by-step explanation:

There are 100 tickets that are distributed among 100 different people.

Four different prizes are awarded, including a grand prize.

The selection of the four wining tickets can be done using permutations.

Permutation is an arrangement of all the data set in a specific order.

The formula to compute the permutation of k objects from n different objects is:

[tex]^{n}P_{k}=\frac{n!}{(n-k)!}[/tex]

In this case we need to compute the number of selection of the 4 winning tickets accordingly from 100 tickets.

Compute the number of ways to select 4 winning tickets as follows:

 [tex]^{n}P_{k}=\frac{n!}{(n-k)!}[/tex]

[tex]^{100}P_{4}=\frac{100!}{(100-4)!}[/tex]

         [tex]=\frac{100!}{96!}[/tex]

         [tex]=\frac{100\times99\times98\times97\times96!}{96!}[/tex]

         [tex]=94109400[/tex]

Thus, the number of ways  to award the prizes if it satisfies the given conditions is 94,109,400.

Answer:

The length of side AB is 9 units.

Step-by-step explanation:

In order to find this answer, you must use the distance formula.

[tex]\sqrt{(x_2 - x_1)^2 + (y_2 - y_1)^2}[/tex]

x2 = 0

x1 = 0

y2 = -3

y1 = 6

Since both x values are equal to zero, we do not need to plug these into our formula. It will just cancel out. Therefore, just plug in the y values.

[tex]\sqrt{(-3-6)^2}[/tex]

-3 - 6 = -9

(-9)^2 = 81

sqrt(81) = 9 units