point
1. Challa drank 6,500 mL of water before her soccer game. She drank the
water out of 1 liter bottles. How many bottles of water did she drink? Hint: 1
liter= 1000 ml

Answer:

x = 5 and -2

Step-by-step explanation:

This question wants the roots, which are when y = 0.

Set the equation equal to 0:

y=x2-3x-10

0=x2-3x-10

Now we can factor this (or use our calculators).

0=(x-5)(x+2)

Separate these by the Zero Product Property.

0 = x-5

x = 5

0 = x+2

x = -2

Answer:

-2 and 5

b on edu 2020

Step-by-step explanation:

edu 2020

Answer:

The answer is 24 inches

Answer:

1)  12in

Step-by-step explanation:

The circumference is 75, so to find the diameter you have to divide 75 by 3.14. You get 24 approximately. Then divide the diameter by 2, so 24/2=12.

Answer:

2x

Step-by-step explanation:

[8x² - 4x] ÷ [4x - 2]

[4x(x - 2)] ÷ [2(x - 2)]

[2x × 2(x - 2)] ÷ [2(x - 2)]

2x

Answer:

6

Step-by-step explanation:

Data provided as per the question below:-

Number of students = 4025

Lockers = 805

The calculation of  the largest number of students who must necessarily share a locker is shown below:-

Largest number of students = ((Number of students - 1) ÷ Lockers) + 1

= ((4026 - 1) ÷ 805) + 1

= (4025 ÷ 805) + 1

= 5 + 1

= 6

Answer:

5/36

Step-by-step explanation:

This is in fractions so that's what i did and its simplified as well

Answer:

  [tex]\dfrac{z}{4}\text{ or }z/4\text{ or }z\div 4[/tex]

Step-by-step explanation:

"The quotient of z and 4" means "z divided by 4." That can be written several ways, as shown above.

Answer:

330 degrees.

Step-by-step explanation:

 π radians / 180 degrees = 1

(11 π)/6  radians  *  180  / π  =   11 * 180 / 6  =  11 * 30 = 330 degrees.

After converting into degree we get;

⇒ 11 pi /6 radians = 330 degree

An angle is a combination of two rays (half-lines) with a common endpoint. The latter is known as the vertex of the angle and the rays as the sides, sometimes as the legs and sometimes the arms of the angle.

Given that;

The expression is,

⇒ 11 pi /6 radians

Now, To change into degree we can multiply by 180 / π in the given expression as;

⇒ 11 pi /6 radians

⇒ 11 π /6 × 180 / π degree

⇒ 330 degree

Thus, After converting into degree we get;

⇒ 11 pi /6 radians = 330 degree

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Answer: the first one

Step-by-step explanation: base×width×height

Answer:

The first choices.

Step-by-step explanation:

The solid is a rectangular prism which means V=l × w × h

Answer:

a. [tex]f(x)= 1.25\ \ \ \ , \ for \ 31.8\leq x\leq 32.6[/tex]

[tex]b. \ P(X=32)=0\\P(X>32.3)=0.375\\P(X<31.8)=0[/tex]

c. No.  Delicious Candy isn't violating any government regulations

Step-by-step explanation:

a.

-A uniform distribution is given by the formula:

[tex]f(x)=\frac{1}{b-a} \ \ \ for \ \ \ a\leq x\leq b[/tex]

#we substitute our values in the formula above to determine the distribution:

[tex]f(x)=\frac{1}{b-a}\\\\=\frac{1}{32.6-31.8}\\\\=1.25\\\\\therefore f(x)=1.25, \ \ \ 31.8\leq x\leq 32.6[/tex]

Hence, the probability density function for the box's weight is given as: [tex]f(x)=1.25, \ \ \ 31.8\leq x\leq 32.6[/tex]

b. The probability of the box's weight being exactly 32 ounces is obtained by integrating f(x) over a=b=32:

[tex]f(x)=1.25, \ \ \ a\leq x\leq b\\\\=\int\limits^{32}_{32} {1.25} \, dx \\\\\\=[1.25x]\limits^{32}_{32}\\\\\\=1.25[32.0-32.0]\\\\\\=0[/tex]

Hence,  the probability that a box weighs exactly 32 ounces is 0.000

ii.The probability that a box weighs more than 32.3 is obtained by integrating f(x) over the limits 32.3 to 32.6 :

[tex]f(x)=1.25, \ \ \ a\leq x\leq b\\\\=\int\limits^{32.6}_{32.3} {1.25} \, dx \\\\\\=[1.25x]\limits^{32.6}_{32.3}\\\\\\=1.25[32.6-32.3]\\\\\\=0.375[/tex]

Hence, the probability that a box weighs more than 32.3 ounces is 0.3750

iii. The probability that a box weighs less than 31.8 is 0.000 since the weight limits are [tex]31.8\leq x\leq 32.6[/tex].

-Any value above or below these limits have a probability of 0.000

c. Let 32 ounces be the government's stated weight.

[tex]1.25(32.6-32)=0.75\\\\0.75>0.60[/tex]

Hence, Delicious Candy isn't violating any government's regulations.

(a): The required probability density function for the weight of the box of chocolate is 1.25

(b):  The probability that a box weighs (1) exactly 32 ounces is 0

and  (2) more than 32.3 ounces is 0.375

(c): Therefore, Delicious Candy does not violate government regulation.

Probability is a measure of the likelihood of an event to occur. Many events cannot be predicted with total certainty. We can predict only the chance of an event to occur i.e. how likely they are to happen, using it. Probability can range in from 0 to 1.

Given that,

The uniform distribution between [tex]a = 31.8[/tex] ounce and [tex]b = 32.6[/tex] ounce

Part(a):

The probability density function for the weight of the box of chocolate is,

[tex]\frac{1}{b-a}=\frac{1}{32.6-31.8} \\=1.25[/tex]

Part(b):

(1) P(exactly 32 ounces) = 0, because this is a continuous distribution.

(2) P(more than 32.3 ounces) =[tex]1.25\times (32.6-32.3)=0.375[/tex]

Part(c):

The stated weight of Delicious Candy =  2 pounds

That is, [tex]2\times 16=32[/tex] ounces

P(a candy weigh at least as much as stated) = P(at least 32)

[tex]1.25\times (32.6-32)=0.75[/tex]

So, 75% of candies weigh at least as much as stated.

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Answer:

x = 1.67 about  and y = 4.67 about

Step-by-step explanation:

y = 4x-2 and y = x+3

4x - 2 = x + 3

3x = 5

x = 5/3 = 1.67  about

y = 5/3 + 3 = 5/3 + 9/3 = 14/3 = 4.667

Answer:

Probability that the 44 randomly selected laptops will have a mean replacement time of 3.6 years or less is 0.0092.

Yes. The probability of obtaining this data is less than 5%, so it is unlikely to have occurred by chance alone.

Step-by-step explanation:

We are given that the replacement times for the model laptop of concern are normally distributed with a mean of 3.8 years and a standard deviation of 0.4 years.

He then randomly selects records on 44 laptops sold in the past and finds that the mean replacement time is 3.6 years.

Let [tex]\bar X[/tex] = sample mean replacement time

The z-score probability distribution for sample mean is given by;

            Z = [tex]\frac{ \bar X-\mu}{\frac{\sigma}{\sqrt{n} } }} }[/tex]  ~ N(0,1)

where, [tex]\mu[/tex] = population mean replacement time = 3.8 years

            [tex]\sigma[/tex] = standard deviation = 0.4 years

            n = sample of laptops = 44

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) 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.

Now, Probability that the 44 randomly selected laptops will have a mean replacement time of 3.6 years or less is given by = P([tex]\bar X[/tex] [tex]\leq[/tex] 3.6 years)

 P([tex]\bar X[/tex] [tex]\leq[/tex] 3.6 years) = P( [tex]\frac{ \bar X-\mu}{\frac{\sigma}{\sqrt{n} } }} }[/tex] [tex]\leq[/tex] [tex]\frac{3.6-3.8}{\frac{0.4}{\sqrt{44} } }} }[/tex] ) = P(Z [tex]\leq[/tex] -3.32) = 1 - P(Z < 3.32)

                                                            = 1 - 0.99955 = 0.0005 or 0.05%          

So, in the z table the P(Z [tex]\leq[/tex] x) or P(Z < x) is given. So, the above probability is calculated by looking at the value of x = 3.32 in the z table which has an area of 0.99955.

Hence, the required probability is 0.0005 or 0.05%.

Now, based on the result above; Yes, the computer store has been given laptops of lower than average quality because the probability of obtaining this data is less than 5%, so it is unlikely to have occurred by chance alone.

Answer:

0.5

Step-by-step explanation:

8 slices of a pizza cut into 16 pieces is a half of the pizza. A half is 0.5

Answer:

1 unit

Step-by-step explanation:

If the circumference is 6, then the arc measured by a 60 degree angle, which is 1/6 of 360, represents 1/6 of the total circumference. Thus the answer is 1.

Answer:

(7,0)

Step-by-step explanation:

you can 0 in for Y in order to find the x-axis

0=-x+7

-7=-x

x=7

Answer:

(7, 0)

Step-by-step explanation:

We are trying to find the location that the equation crosses the x-axis.

This location is also known as the x-intercept.

To find the x-intercept, you can just set y in the equation to 0 and then solve for x.

0 = -x + 7

-x = -7

x = 7

So, the x-intercept is 7.

X-intercepts always have a y of 0 by definition, so it can be found at the point (7, 0)

Answer:

Probability that a battery will last more than 19 hours is 0.0668.

Step-by-step explanation:

We are given that the lifetime of a battery in a certain application is normally distributed with mean μ = 16 hours and standard deviation σ = 2 hours.

Let X = lifetime of a battery in a certain application

So, X ~ N([tex]\mu=16,\sigma^{2} =2^{2}[/tex])

The z-score probability distribution for normal distribution is given by;

               Z = [tex]\frac{ X -\mu}{\sigma}[/tex]  ~ N(0,1)

where, [tex]\mu[/tex] = mean lifetime = 16 hours

            [tex]\sigma[/tex] = standard deviation = 2 hours

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) 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.

So, the probability that a battery will last more than 19 hours is given by = P(X > 19 hours)

  P(X > 19) = P( [tex]\frac{ X -\mu}{\sigma}[/tex] > [tex]\frac{19-16}{2}[/tex] ) = P(Z > 1.50) = 1 - P(Z [tex]\leq[/tex] 1.50)

                                              = 1 - 0.9332 = 0.0668

Now, in the z table the P(Z [tex]\leq[/tex] x) or P(Z < x) is given. So, the above probability is calculated by looking at the value of x = 1.50 in the z table which has an area of 0.9332.

Hence, the probability that a battery will last more than 19 hours is 0.0668.

The probability that a battery with a mean lifetime of 16 hours and a standard deviation of 2 hours will last more than 19 hours is approximately 6.68%, calculated using the z-score for a normal distribution.

Probability of Battery Lasting More Than 19 Hours

The question asks about the probability that a battery with a normal distribution will last more than 19 hours, given a mean μ = 16 hours and standard deviation σ = 2 hours. To find this probability, we calculate the z-score using the formula:

[tex]Z = (X - \mu) / \sigma[/tex]

For X = 19 hours:

[tex]Z = (19 - 16) / 2 = 1.5[/tex]

Next, we use a standard normal distribution table or a calculator to find the probability associated with this z-score. The area to the right of Z = 1.5 represents the probability that a battery lasts more than 19 hours. Assuming we've looked up the value in the standard normal distribution table:

[tex]P(X > 19) = 1 - P(Z \leq 1.5) = 1 - 0.9332 = 0.0668[/tex]

Thus, the probability that a battery will last more than 19 hours is approximately 6.68%.

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To test the effectiveness of touch therapists, a hypothesis test can be conducted using a significance level of 0.05. The test statistic is calculated by comparing the observed success rate to the expected success rate under the null hypothesis. If the test statistic falls within the critical region, the null hypothesis can be rejected and it can be concluded that the touch therapists are effective.

To test the claim that touch therapists use a method equivalent to random guesses, a hypothesis test can be conducted using a significance level of 0.05. In this case, the null hypothesis would state that the therapists' success rate is no better than random chance, while the alternative hypothesis would state that the therapists are effective. The test statistic can be calculated using the observed success rate and the expected success rate under the null hypothesis. If the test statistic falls within the critical region, which is determined by the significance level, then the null hypothesis can be rejected, suggesting that the touch therapists are indeed effective.

First, let's calculate the expected success rate under the null hypothesis. Since the therapists are guessing randomly, the probability of guessing correctly is 0.5. Therefore, the expected success rate can be calculated by multiplying the total number of trials by the probability of guessing correctly:

Expected success rate = 0.5 * 264 = 132

Next, we can calculate the test statistic using the observed success rate and the expected success rate:

Test statistic = (observed success rate - expected success rate) / sqrt(expected success rate * (1 - expected success rate) / number of trials)

Substituting the values into the formula:

Test statistic = (105 - 132) / sqrt(132 * (1 - 132/264) / 264) = -3.181

Finally, we can compare the test statistic to the critical value. The critical value can be obtained from the Z-table or using statistical software. If the test statistic falls within the critical region (i.e., if it is less than the negative critical value), then we can reject the null hypothesis and conclude that the touch therapists are effective.

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To test the claim that touch therapists use a method equivalent to random guesses, a hypothesis test can be conducted. The data provided is used to calculate the p-value, which is found to be less than 0.05. This suggests that touch therapists are effective.

To test the claim that touch therapists use a method equivalent to random guesses, we can use a hypothesis test. The null hypothesis is that the therapists' accuracy is due to random chance, while the alternative hypothesis is that they are effective. We can use a binomial hypothesis test with a significance level of 0.05. Using the given data, the therapists were correct in 105 out of 264 trials. Calculating the p-value, we find that it is less than 0.05, which means we reject the null hypothesis. Therefore, the results suggest that touch therapists are effective.

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Answer:

12+4x

Step-by-step explanation:

The cone is the correct answer.

A cone is the shape that could be slice perpendicular to its base/face to create a cross-section whose shape has two edges, one straight and one curved.

cone, in mathematics, the surface traced by a moving straight line (the generatrix) that always passes through a fixed point (the vertex).

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Answer:

No it is not

Step-by-step explanation:

B is a subset of A but not all the elements in Set A are in B hence they don't contain equal elements

Answer:

Check the explanation

Step-by-step explanation:

US has a comparative advantage in producing rice.

This means US's opportunity cost of producing rice is less than that of Korea.

Korea's opportunity cost of producing rice will be given as:

For producing 9 units of Rice, Korea gives up 5 cars.

For producing 1 unit of rice's, Korea will give up 5/9 units of car.

Kindly check the image below.

If the U.S. has a comparative advantage in producing rice, then [tex]\( X > \frac{54}{7} \).[/tex]

The correct answer is option B.

Comparative advantage in the context of international trade is determined by the opportunity cost of producing one good over another. If the U.S. has a comparative advantage in producing rice, it implies that the U.S. can produce rice at a lower opportunity cost compared to Korea. To analyze the situation, let's consider the production figures provided:

In the U.S., the opportunity cost of producing one unit of rice is 6/7 units of cars. In Korea, the opportunity cost of producing one unit of rice is X/9 units of cars. Since the U.S. has the comparative advantage in rice production, X/9 (opportunity cost for Korea) should be greater than 6/7 (opportunity cost for the U.S.).

Mathematically, this can be expressed as:

[tex]\[ \frac{X}{9} > \frac{6}{7} \][/tex]

To simplify the comparison, multiply both sides of the inequality by 9 to get:

[tex]\[ X > \frac{54}{7} \][/tex]

Therefore, the correct statement is [tex]\( X > \frac{54}{7} \)[/tex] making option B the correct option.

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Find the solution in the attachments

In this exercise we have to use the knowledge of finance and thus plot a graph, this way we have that it corresponds to:

A)[tex]q= 0 \ or \ q=1[/tex]

B) The graph bellow.

C) The points of the grapg bellow.

Knowing that:

[tex]total \ cost = (variable \ cost \ per \ unit + final \ cost \ per \ unit * produced)[/tex]

The data that was informed is;

A) The result is:

[tex]T= (3+2)*9\\T= 59[/tex]

Break even points one the points at which total cost are equal to :

[tex]T(q)= Y_T(9)\\5q= 5\sqrt{9}\\q=\sqrt{9}\\ q= 0 or q=1[/tex]

B) One plot of total cost are total revenue are ploted below. The blue curve is of total revenue and real graph is of total cost.

C) With the graph, it's closes that from q=0 ot q=1. Total revenue dominantes total cost and beyond a=1 the total cost dominands total revenue.

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Answer:

Step-by-step explanation:

x = 7

so 2x is 2 x 7

The answer is 14

Answer:

14

Step-by-step explanation:

when x is 7 then 2x is 7*2

7*2=14

The question discusses a survey of US teens and their online interaction. It's emphasizing on the statistical data that shows approximately 57% of surveyed teens reported making new friends online. Other data are also relevant to highlight various aspects of teens internet usage.

The question is about a survey conducted on US teens, where 1060 were randomly selected and it was found that 605 of them have made a new friend online. This is relevant to statistics, a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data.

To calculate the percentage of teens making friends online, it is calculated as follows: (Number of teens reporting making new friends online / Total number of teens surveyed) * 100 = (605/1060) * 100 = 57.08%. This implies that approximately 57% of the surveyed teens reported making new friends online.

The other data provided discuss various aspects of teen internet usage, including use of social media, smartphone adoption, and experiences with digital relationships. The given data can be used to set up and test various statistical hypotheses about teen behavior relating to internet use.

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Answer:

The 90% confidence interval for the mean consumption of milk among males over age 25 is (2.8 lt, 3.0 lt).

Step-by-step explanation:

The (1 - α) % confidence interval for population mean is:

 [tex]CI=\bar x\pm z_{\alpha /2}\ \frac{\sigma}{\sqrt{n}}[/tex]

The information provided is:

 [tex]n=715\\\bar x=2.9\ \text{lt}\\\sigma=1.2\ \text{lt}[/tex]

Confidence level = 90%

Then, α = 10%

Compute the critical value of z for α = 10% as follows:

 [tex]z_{\alpha/2}=z_{0.10/2}=z_{0.05}=1.645[/tex]

*Use a z-table.

Compute the 90% confidence interval for population mean as follows:

[tex]CI=\bar x\pm z_{\alpha /2}\ \frac{\sigma}{\sqrt{n}}[/tex]

     [tex]=2.9\pm 1.645\times \frac{1.2}{\sqrt{715}}\\\\=2.9\pm 0.074\\\\=(2.826, 2.974)\\\\\approx (2.8\ \text{lt}, 3.0\ \text{lt})[/tex]

Thus, the 90% confidence interval for the mean consumption of milk among males over age 25 is (2.8 lt, 3.0 lt).

Answer:

The 99% confidence interval for the proportion of all American adults who blame Barack Obama a great deal or a moderate amount for U.S. economic problems is (0.4894, 0.5706)..

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 = 1004, \pi = 0.53[/tex]

99% confidence level

So [tex]\alpha = 0.01[/tex], z is the value of Z that has a pvalue of [tex]1 - \frac{0.01}{2} = 0.995[/tex], so [tex]Z = 2.575[/tex].

The lower limit of this interval is:

[tex]\pi - z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.53 - 2.575\sqrt{\frac{0.53*0.47}{1004}} = 0.4894[/tex]

The upper limit of this interval is:

[tex]\pi + z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.53 - 2.575\sqrt{\frac{0.53*0.47}{1004}} = 0.5706[/tex]

The 99% confidence interval for the proportion of all American adults who blame Barack Obama a great deal or a moderate amount for U.S. economic problems is (0.4894, 0.5706)..

The 99% confidence interval for the proportion of American adults who blame Barack Obama a great deal or a moderate amount for U.S. economic problems is approximately 0.502 to 0.558.

To calculate the 99% confidence interval for the proportion of all American adults who blame Barack Obama a great deal or a moderate amount for U.S. economic problems, we can use the formula:

CI = p ± Z * sqrt((p * (1-p)) / n)

Where:

CI = Confidence interval

p = Proportion of respondents who blamed Barack Obama a great deal or a moderate amount

Z = Z-score corresponding to the desired confidence level

n = Sample size

Given that 53% of respondents blamed Barack Obama a great deal or a moderate amount and the sample size is 1,004, we can calculate the confidence interval as follows:

CI = 0.53 ± Z * sqrt((0.53 * (1-0.53)) / 1004)

Since we want a 99% confidence interval, the corresponding Z-score is 2.58 (obtained from a standard normal distribution table).

Plugging in the values:

CI = 0.53 ± 2.58 * sqrt((0.53 * (1-0.53)) / 1004)

Calculating the standard deviation and rounding to 2 decimal places:

CI = 0.53 ± 2.58 * sqrt(0.53 * 0.47 / 1004)

CI = 0.53 ± 2.58 * sqrt(0.2491 / 1004)

CI = 0.53 ± 2.58 * 0.0157

The 99% confidence interval for the proportion of all American adults who blame Barack Obama a great deal or a moderate amount for U.S. economic problems is approximately 0.502 to 0.558.

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Answer:

[tex]Unit Price =\$2.5 \:per\: gallon[/tex]

Step-by-step explanation:

15 Gallon of Gas costs $37.50

To determine the Unit Price, we divide the Total Cost by the number of gallons of gas bought.

Unit Price

[tex]=\dfrac{\$37.50}{15gallons}\\Unit Price =\$2.5 \:per\: gallon[/tex]

Answer:

Price per gallon = $2.5 per gallon

Step-by-step explanation:

Given;

Price of 15 gallons = $37.50

Number of gallons = 15

Price per gallon = 37.50/15 = $2.5