Answer:
the answer is A(4.5)
Step-by-step explanation:
y/6 = 6/8
y=9/2 = 4.5
kayla did 243 jumping jacks every day for 30 days and jean did 289 every day for 30 days how many mor jumping jacks didi jean do
Answer:
1380 more jumping jacks
Step-by-step explanation:
Kayla did 243 jumping jacks each day for 30 days, so we multiply 243 by 30 to get the total number of jumping jacks: 243 * 30 = 7290 jumping jacks.
Jean did 289 every day for 30 days, so we multiply 289 by 30 to get the total number of jumping jacks: 289 * 30 = 8670 jumping jacks.
Now subtract 7290 from 8670: 8670 - 7290 = 1380 more jumping jacks.
Hope this helps!
Answer: 1380
Step-by-step explanation : jean did 8760 jumping jacks. kayla did 7920. subtract 7920 from 8760 to get 1380
6x A = 24 show your work
Answer:
4
Step-by-step explanation:
6 × A = 24
6 × A ÷ 6 = 24 ÷ 6
A = 4
Answer:
A = 4
Step-by-step explanation:
6×A = 24
6A = 24
A = 24 : 6
A = 4
Suppose 20 donors come to a blood drive. Assume that the blood donors are not related in any way, so that we can consider them to be independent. The probability that a donor has type "O" blood is 0.06. What is the probability that 1 or more donors have type O blood? A. 0.370 B. 0.290 C. 0.630 D. 0.710
Given Information:
Probability of success = p = 0.06
Number of trials = n = 20
Required Information:
Probability of 1 or more donors of "O" blood group = ?
Answer:
P( x ≥ 1 ) = 0.710
Step-by-step explanation:
We are given the probability that a donor has type "O" blood group.
We want to find out the probability of having 1 or more donors who has type "O" blood group out of 20 donors.
P( x ≥ 1 ) = 1 - P( x = 0)
So we will first find the probability that none of the donors has type "O" blood group then we will subtract that from 1 to get the probability of having 1 or more donors with "O" blood group.
P( x = 0) = (p⁰)(1 - p)²⁰
P( x = 0) = (0.06⁰)(1 - 0.06)²⁰
P( x = 0) = (1)(0.94)²⁰
P( x = 0) = 0.290
So the probability of having 1 or more donors with "O" blood group is
P( x ≥ 1 ) = 1 - P( x = 0)
P( x ≥ 1 ) = 1 - 0.290
P( x ≥ 1 ) = 0.710
P( x ≥ 1 ) = 71%
Therefore, the correct answer is D. 0.710
Final answer:
The probability that 1 or more donors have type O blood is approximately 0.370.
Explanation:
The probability that 1 or more donors have type O blood can be found using the complement rule. The complement of the event that 0 donors have type O blood is the event that 1 or more donors have type O blood.
The probability that a donor has type O blood is 0.06. The probability that a donor does not have type O blood is 1 - 0.06 = 0.94. Let's calculate the complement probability:
P(1 or more donors have type O blood) = 1 - P(0 donors have type O blood)
= 1 - (0.94)^{20} (since the donors are independent)
Using a calculator, we get P(1 or more donors have type O blood) ≈ 0.370
"Cyber Monday is a huge online shopping day. In 2017, approximately 21% of Cyber Monday shoppers used their mobile device to make a purchase. If a person used a mobile device to make a purchase, the probability of making a purchase from Amazon was .55. Suppose a Cyber Monday purchase is selected at random. What is the probability that the purchase was made with a mobile device and was from Amazon."
Answer:
11.55% probability that the purchase was made with a mobile device and was from Amazon.
Step-by-step explanation:
We have these following probabilities:
21% probability that a Cyber Monday shopper used their mobile device to make a purchase.
55% probability that a purchase made with a mobile device is from Amazon.
What is the probability that the purchase was made with a mobile device and was from Amazon."
55% of 21%
So
P = 0.21*0.55 = 0.1155
11.55% probability that the purchase was made with a mobile device and was from Amazon.
One major reason that the two-sample t procedures are widely used is that they are quite robust. What does this mean? t procedures do not require that we know the standard deviations of the populations. Confidence levels and P-values from the t procedures are quite accurate even if the population distribution is not exactly Normal. t procedures compare population means, a comparison that answers many practical questions.
Answer:
Confidence levels and P-values from the t procedures are quite accurate even if the population distribution is not exactly Normal
Step-by-step explanation:
Confidence levels and P-values from the t procedures are quite accurate even if the population distribution is not exactly Normal
there is a general rule that depicts that T is okay to use when n >30. also when the sampling method for each sample is simple random sampling and samples are independent.
Find the given percent of 7% of 98
Answer:
Hello! 7% of 98 is 6.86.
Step-by-step explanation:
98 x 0.07 = 6.86
If you move the percentage mark of the 7% two times to the left, you get 7% as a decimal, which is 0.07. You then take 0.07 and multiply it by 98 to get 6.86.
What 4c=12
4c/4=12.4
Answer:
c =3
Step-by-step explanation:
4c = 12
Divide each side by 4
4c/4 =12/4
c = 3
4. Determine which of the following are equivalence relations and/or partial CHAPTER 6. RELATIONS 121 ordering relations for the given sets: (a) A = { lines in the plane}, and r defined by xry if and only if x is parallel to y. Assume every line is parallel to itself. (b) A = R and r defined by xry if and only if |x − y| ≤ 7.
Answer:
Determine which of the following are equivalence relations and/or partial CHAPTER 6. RELATIONS 121 ordering relations for the given sets: (a) A = { lines in the plane}, and r defined by xry if and only if x is parallel to y. Assume every line is parallel to itself. (b) A = R and r defined by xry if and only if |x − y| ≤ 7.
A is an Equivalence Relation.
Step-by-step explanation:
For a reflexive case : x is parallel to itself => x R x
For a symmetric : x is parallel to y => y is parallel to x.
Thus, x R y = y R x
For a transitive: x is parallel to y, and y is parallel to z then x, y, z are parallel to each other.
=> x R y and y R z = x R z
Therefore, A is an Equivalence Relation.
Joey read in his biology book that fish activity increases with water temperature, and he decided to investigate this issue by conducting an experiment. On nine successive days, he measured fish activity and water temperature in his aquarium. He found the equation of the LSRL to be y t ˆ = + 152.1 37.65 , where yˆ is the predicted amount of activity. If one of Joey’s days had a water temperature of 69.0 degrees Fahrenheit and the fish activity on that day was 265, what is the residual activity for this particular temperature?
The residual value is the difference between the actual and predicted values. Hence, the residual activity at a temperature of 69°F will be −2484.95
The equation of the Least Square Regression Line is given as :
y = 152.1 + 37.65tThe predicted amount of activity, y at a temperature of 69°F will be :
y = 152.1 + 37.65(69)
y = 2749.95
The actual amount of activity at a temperature of 69°F is 265
The residual activity at 69°F temperature can be calculated thus :
Residual = Actual - Predicted
Residual = 265 - 2749.95 = −2484.95
Therefore, the residual activity at 69°F is −2484.95
Learn more : https://brainly.com/question/18405415
The measure of an angle is forty-four times the measure of its supplementary angle. What is the measure of each angle?
Answer: 176 degrees and 4 degrees.
Step-by-step explanation: To find the measure of the angles, all you have to do is create an equation. Let's call the supplementary angle x and the other angle 44x, because the other angle is 44*the supplementary angle. Now, we structure the equation 44x + x = 180. The reason we say the sum of the angles is 180 is because any angle plus its supplementary angle equals 180 degrees. From there it's just algebra:
44x + x = 180
45x = 180
x = 180/45
x = 4
We can check our work by substituting x for 4 in the equation:
44*4 + 4 = 180
174 + 4 = 180
180 = 180
Thus, the first angle is 176 degrees and the second is 4 degrees.
Determining the Difference in Means
2 dot plots. The highlands have a mean rainfall of 15.27 millimeters, and the Lowlands have a mean rainfall of 12.05 millimeters.
Analyze the dot plots. What is the approximate difference between the means of the two data sets to the nearest whole number?
Answer:
its 3mm i promise its right pls make me brainliest
Step-by-step explanation:
Answer:
the answer is 3mm
Step-by-step explanation:
got it right on edge trust me the other guy is right to.
The National Institute of Standards and Technology (NIST) offers Standard Reference Materials to aid in the calibration of measurement instruments and verify the accuracy of measurements. Suppose a medical researcher wants to verify that the distances he measures with his computed tomography machine are not too large, so he orders a Dimensional Standard for Medical Computed Tomography from NIST.This standard consists of 18 plastic balls held in place by a plastic support structure. The certified distance between the balls numbered 1 and 2 is 15.96 mm, and NIST determines that measurement errors are normally distributed with a standard deviation of 0.05 mm. Upon receiving the Standard Reference Material, the researcher measured the distance between balls 1 and 2 five times. Take these five measurements to be a simple random sample of all measurements made on this device under carefully controlled conditions. The researcher then calculated the summary statistics, where ???? is the mean distance between balls 1 and 2, as measured by his computed tomography machine.Test of ????=15.96 vs ????>15.96The assumed standard deviation=0.05Samplesize Samplemean Standarderror???? x⎯⎯⎯ SE5 16.02 0.02236(1). Complete the analysis by calculating the value of the one-sample z-statistic, the p-value, and making the decision. First, calculate z to at least two decimal places.z=(2).Use software or a table of standard normal critical values to determine the p‑value. Give your answer precise to at least four decimal places.p=(3). Should the researcher reject his null hypothesis if his significance level is ????=0.05?A. Yes, there is enough evidence (p<0.05) that the mean distance between balls 1 and 2, as measured by his computed tomography machine, is greater than 16.02 mm.B. No, there is not enough evidence (p>0.05) that the mean distance between balls 1 and 2, as measured by his computed tomography machine, is greater than 16.02 mm.C. No, there is not enough evidence (p<0.05) that the mean distance between balls 1 and 2, as measured by his computed tomography machine, is greater than 16.02 mm.D. Yes, there is enough evidence (p>0.05) that the mean distance between balls 1 and 2, as measured by his computed tomography machine, is greater than 16.02 mm.
Answer:
A. There is enough evidence that p < 0.05 that the mean distance between ball one and two as measured by his computed tomography machine is greater than 16.02mm.
Step-by-step explanation:
n= 5
x bar= 16.02
Standard Error= 0.02236
NB:
The null hypothesis is referred to as a characteristic arithmetic theory that gives a statement that suggests that no statistical relationship and significance exists in a set of given observed variables between two sets of observed data and also, measured phenomena. The hypotheses play a crucial role in testing the significance of differences in experiments and between observations. H o represents the null hypothesis of no difference.
The alternative hypothesis is generally represented as H1. It makes a statement that suggests a potential result or an outcome that a researcher may expect.
Standard error measures how far the sample mean of the data is most likely to be from the true population mean.
We want to test the null and alternative hypothesis
H o : μ = 15.96 vs H1 : μ > 15.96
1. Test statistics
Z= xbar - μ / Standard error
Z= 16.02 - 15.96 / 0.002236
Z= 2.6834
2. P value= 0.0036
3. Yes, there is enough evidence that p < 0.05 that the mean distance between ball one and two as measured by his computed tomography machine is greater than 16.02mm.
Therefore, option A is the correct answer.
Orange M&M’s: The M&M’s web site says that 20% of milk chocolate M&M’s are orange. Let’s assume this is true and set up a simulation to mimic buying 200 small bags of milk chocolate M&M’s. Each bag contains 55 candies. We made this dotplot of the results. Normal sampling distribution of proportion of orange candies Now suppose that we buy a small bag of M&M’s. We find that 25.5% (14 of the 55) of the M&M’s are orange. What can we conclude? Group of answer choices This result is not surprising because we expect to see many samples with 14 or more orange candies. This result is surprising because we expect the orange candies to make up no more than 20% of the candies in a packet. This result is surprising because it is unlikely that we will select a random sample with 25.5% or more orange candies if 20% of milk chocolate M&M’s are orange.
The initial expectation is that 20% of the M&Ms in a bag would be orange. However, the occurrence of 25.5% orange M&Ms in a bag can be considered surprising but doesn't negate the initial percentage due to statistical sampling variability.
Explanation:This question is dealing with the concept of statistical sampling and proportions. Given that the M&M’s website states that 20% of milk chocolate M&M’s are orange, we would expect, on average, that 20% or 11 (0.20 * 55) of the M&M’s in a small bag of 55 M&M’s to be orange. However, in this instance, we observe that 25.5% (or 14 of the 55) of the M&M’s are orange.
This result might be surprising because it is more than the average expectation of 20%. But it's important to remember the concept of sampling variability. Even though we expect 20%, the actual results can vary from this expectation due to random chance.
In conclusion, this result can be considered surprising because we have got a higher percentage of orange candies than expected, but it does not necessarily prove that the initial assertion of 20% orange M&M’s is incorrect due to the inherent variability in statistical sampling.
Learn more about Statistical Sampling here:https://brainly.com/question/34640752
#SPJ12
The observed result of 25.5% orange candies per bag is surprising given the stated 20% proportion. However, due to sampling variability, it falls within one standard deviation from the mean, indicating it's a possible result in a sample.
Explanation:The conclusion based on your provided information would be that this result is surprising because it is unlikely to select a sample with 25.5% or more orange candies if only 20% of milk chocolate M&M's are orange. This observation is compared to the expected proportion of 20%, i.e., the stated percentage of orange M&M's as per the website information.
To calculate how surprising this outcome is, we can use the concept of standard deviation. Based on the binominal distribution, the standard deviation (σ) is calculated as √npq, where n is the number of trials (in this case, the number of candies per bag, 55), p is the probability of success (the expected proportion of orange candies, 0.20), and q is the probability of failure (1-p).
Applying these values, σ = √(55)(0.20)(0.80), we get σ ≈ 4.7. Therefore, observing 14 orange candies is about one standard deviation above the expected value (11 candies, or 20% of 55). Although that might seem like a significant deviation, in a normal distribution about 68% of the data falls within one standard deviation of the mean. So while it is surprising, it is still a possible variation to have 25.5% or more orange candies in a single bag due to sampling variability.
Learn more about Probability & Statistics here:https://brainly.com/question/10734660
#SPJ3
Use the empirical rule to solve the problem. The annual precipitation for one city is normally distributed with a mean of 288 inches and a standard deviation of 3.7 inches. Fill in the blanks. In 95.44% of the years, the precipitation in this city is between ___ and ___ inches. Round your answers to the nearest tenth as needed.
Answer:
[tex]z=-1.99<\frac{a-288}{3.7}[/tex]
[tex]z=1.99<\frac{a-288}{3.7}[/tex]
And if we solve for a we got
[tex]a=288 -1.99*3.7=214.4[/tex]
[tex]a=288 +1.99*3.7=295.4[/tex]
And the limits for this case are: (214.4; 295.4)
Step-by-step explanation:
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
Solution to the problem
Let X the random variable that represent the annual precipitation of a population, and for this case we know the distribution for X is given by:
[tex]X \sim N(288,3.7)[/tex]
Where [tex]\mu=288[/tex] and [tex]\sigma=3.7[/tex]
The confidence level is 95.44 and the signficance is [tex] 1-0.9544=0.0456[/tex] and the value of [tex]\alpha/2 =0.0228[/tex]. And the critical value for this case is [tex]z = \pm 1.99[/tex]
Using this condition we can find the limits
[tex]z=-1.99<\frac{a-288}{3.7}[/tex]
[tex]z=1.99<\frac{a-288}{3.7}[/tex]
And if we solve for a we got
[tex]a=288 -1.99*3.7=214.4[/tex]
[tex]a=288 +1.99*3.7=295.4[/tex]
And the limits for this case are: (214.4; 295.4)
James is 5 feet 4 inches tall, how tall is James in inches
Answer:
64 in.
Step-by-step explanation:
One foot is 12 inches, so you would have to multiply 12 and 5 to get 60. You then add the 60 to the 4 to get 64 inches. Hope this helped!
A company offers collision insurance and liability insurance. The claim amount under collision insurance is normally distributed with mean 10, 000 and standard deviation 2, 000; the claim amount under liability insurance is normally distributed with mean 9, 000 and standard deviation 2, 000. Assuming independence, find the probability that the claim amount under liability insurance exceeds the claim amount under collision insurance.
Answer:
36.32% probability that the claim amount under liability insurance exceeds the claim amount under collision insurance.
Step-by-step explanation:
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.
Two variables:
X1 and X2, probability X1 exceeds X2
[tex]\mu(X_{1} - X_{2}) = \mu_{X_{1}} - \mu_{X_{2}}[/tex]
[tex]\sigma^{2}(X_{1} - X_{2}) = \sigma_{X_{1}}^{2} + \sigma_{X_{2}}^{2}[/tex]
In this problem, we have:
X1: Liability insurance:
So [tex]\mu_{X_{1}} = 9000, \sigma_{X_{1}} = 2000[/tex]
X2: Collusion insurance:
So [tex]\mu_{X_{2}} = 10000, \sigma_{X_{2}} = 2000[/tex]
Then
[tex]\mu(X_{1} - X_{2}) = \mu_{X_{1}} - \mu_{X_{2}} = 9000 - 10000 = -1000[/tex]
[tex]\sigma^{2}(X_{1} - X_{2}) = 2000^{2} + 2000^{2} = 8000000[/tex]
[tex]\sigma = \sqrt{8000000} = 2828.43[/tex]
Assuming independence, find the probability that the claim amount under liability insurance exceeds the claim amount under collision insurance.
This is [tex]P(X_{1} - X_{2} > 0)[/tex], which is 1 subtracted by the pvalue of Z when X = 0. So
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
[tex]Z = \frac{0 - (-1000)}{2828.43}[/tex]
[tex]Z = 0.35[/tex]
[tex]Z = 0.35[/tex] has a pvalue of 0.6368
1 - 0.6368 = 0.3632
36.32% probability that the claim amount under liability insurance exceeds the claim amount under collision insurance.
An ordinary (fair) coin is tossed 3 times. Outcomes are thus triples of "heads" (An ordinary (fair) coin is tossed 3 times. Ou) and "tails" () which we write , , etc. For each outcome, let be the random variable counting the number of tails in each outcome. For example, if the outcome is , then . Suppose that the random variable is defined in terms of as follows: . The values of are thus:Outcome Value of Calculate the probability distribution function of , i.e. the function . First, fill in the first row with the values of . Then fill in thevalue x of X Px(X)
The probability distribution function of X, filled in:
X P(X)
0 1/8
1 3/8
2 3/8
3 1/8
Possible outcomes: There are 2^3 = 8 possible outcomes when a fair coin is tossed 3 times (HHH, HHT, HTH, THH, HTT, THT, TTH, TTT).
Counting tails: We count the number of tails in each outcome to determine the values of X.
Probability of each X: We calculate the probability of each value of X by counting the outcomes that correspond to that value and dividing by the total number of outcomes (8).
Detailed breakdown:
X = 0: Only one outcome has 0 tails (HHH), so P(X=0) = 1/8.
X = 1: Three outcomes have 1 tail (HHT, HTH, THH), so P(X=1) = 3/8.
X = 2: Three outcomes have 2 tails (HTT, THT, TTH), so P(X=2) = 3/8.
X = 3: Only one outcome has 3 tails (TTT), so P(X=3) = 1/8.
Latisha determined the approximate amount of time each student in her homeroom class spent outside on a sunny day and on a rainy day. The dot plots below show her results.
Which measures of center and variability can be used to most accurately compare the two data sets?
A.mean and MAD
B.mean and IQR
C.median and MAD
D.median and IQR
Answer:
THE ANSWER IS A. I HAD THE SAME QUESTION
Step-by-step explanation:
Answer:
A
Step-by-step explanation:
Find the volume
A.I0 cubic units
B.20 cubic units
C.22 cubic units
D.10 cubic units
Answer:
its b
Step-by-step explanation:
FOR THE LENGTH YOU SEE HOW LONG IT IS THEN FINALLY YOU SEE THE WIDTH ITS ONLY ONE AND THEN THE HIGHT HOW TALL IT IS AND THEN YOU MULTIPLY TO GET Your answer
Which events have a probability of 25 percent? Select three options.
Answer:
The answer is A, C, E
A: choosing a green jelly bean out of a bag that contains 2 green jelly beans, 1 red jelly bean, and 5 yellow jelly beans
C: spinning a number less than 2 on a spinner that has four equal sections numbered from 1 to 4
D: choosing a spade out of a standard deck of cards that contains 13 hearts, 13 clubs, 13 diamonds, and 13 spades
Therefore the answer is A,C,E
Edg : )
Use the convolution theorem to find the inverse Laplace transform of the given function. StartFraction 5 Over s cubed (s squared plus 25 )EndFraction 5 s3s2+25 laplace transform Superscript negative 1 Baseline StartSet StartFraction 5 Over s cubed (s squared plus 25 )EndFraction EndSet (t )ℒ−1 5 s3s2+25(t)
Answer:
[tex]\frac{1}{2}[/tex][tex]t^{2}Sin5t[/tex]
Step-by-step explanation:
using the Convolution theorem to find the inverse of :
[tex]\frac{5}{s^{3}(s^{2}+25 ) }[/tex]
[tex]L^{-1}[/tex] [tex]\frac{5}{s^{3}(s^{2}+25 ) }[/tex] = [tex]\frac{1}{s^{3} }[/tex] × [tex]\frac{5}{s^{2}+25}[/tex]
we know from derivation that
Sin(at) = [tex]\frac{a}{s^{2}+a^{2} }[/tex]
Hence: [tex]\frac{5}{s^{2}+25}[/tex] = Sin5t
Also: [tex]L^{-1}[/tex] [tex]\frac{n!}{s^{n+1} }[/tex] = [tex]t^{n}[/tex]
[tex]L^{-1}[/tex] [tex]\frac{1}{s^{3} }[/tex] = [tex]\frac{1}{2}[/tex] [tex]L^{-1}[/tex] ([tex]\frac{2!}{s^{3} }[/tex])
= [tex]\frac{1}{2}[/tex][tex]t^{2}[/tex]
therefore [tex]L^{-1}[/tex] [tex]\frac{5}{s^{3}(s^{2}+25 ) }[/tex] = [tex]\frac{1}{2}[/tex][tex]t^{2}Sin5t[/tex]
Which solid does the net form?
c. traingular prism
Answer:
Triangular Prism
I'm guessing this means what 3D shape it produces, which would lead my conclusion to it being a triangular prism.
Most hard drives are divided into sectors of 512 bytes each. Our disk has a size of 16 GB. Calculate how many sectors the disk has.
Answer:
33,554,432 sectors
Step-by-step explanation:
-We first convert both sizes to a uniform measure(both to be in bytes or gigabytes).
-We convert the drive size into Bytes:
[tex]1GB=1,073,741,824 \ Bytes\\\\\therefore 16GB=16\times1,073,741,824=1.717986918\times10^{10}\ Bytes[/tex]
#We then divide the Drive size by the sector size to get the number of sectors.
-Let X be the number of sectors:
[tex]X=\frac{Drive \ Size}{Sector \ Size}\\\\=\frac{1.717986918\times10^{10}}{512}\\\\=33,554,432[/tex]
Hence, the disk has 33,554,432 sectors.
To calculate the number of sectors in a 16GB disk, you first convert the disk size from GB to bytes. Then, you divide the total bytes by the size in bytes of one sector. So, a 16GB disk has 33,554,432 sectors.
Explanation:The disk size is provided in gigabytes (GB), but first, we need to convert it into bytes, as sectors are measured in bytes. There are 1,073,741,824 bytes in 1 GB. Therefore, a 16 GB disk has 16 * 1,073,741,824 = 17,179,869,184 bytes.
Since each sector is 512 bytes, we can find the number of sectors by dividing the total number of bytes by the size of one sector: 17,179,869,184 / 512 = 33,554,432 sectors.
Learn more about Disk Sectors here:https://brainly.com/question/33313245
#SPJ3
Two planes are 1530 mi apart and are traveling toward each other. One plane is traveling 100 mph faster than the other plane. The planes meet in 1.5 h. Find the speed of each plane.
Answer: The speed of one plane is 560 mph and the speed of the other is 460 mph.
Step-by-step explanation: Please see the attachments below
What is the area of this tile ?
Please help! 3 − |-4| − |2| =
Answer:
-3
Step-by-step explanation:
3 - |-4| - |2|
= 3 - 4 - |2|
= -1 - |2|
= 1 - 2
= -3
(Hope this helps)
Why am I not getting the right answer
Answer:
You could’ve doing the math wrong... what’s the question?
Step-by-step explanation:
The percentage of titanium in an alloy used in aerospace castings is measured in 51 randomly selected parts. The sample standard deviation is s 0.37. (a) Test the hypothesis versus using 0.05. State any necessary assumptions about the underlying distribution of the data. (b) Find the P-value for this test. (c) Construct a 95% two-sided CI for . (d) Use the CI in part (c) to test the hypothesis.
Answer:
attached
Step-by-step explanation:
attached
A note organizer is not important if you know how to take good notes.
Please select the best answer from the choices provided
OT
OF
Answer:
Yes it is true.
A note organizer is not important if you know how to take good notes is false.
What is a note organizer?A note organizer is a tool or system used to help keep notes organized and easy to access.
There are many different types of note organizers, ranging from physical tools like binders or folders to digital tools like note-taking apps or software.
The purpose of a note organizer is to help individuals keep track of important information, categorize and label their notes, and quickly find the information they need when they need it.
We have,
While it is true that taking good notes is essential, having a note organizer can also be important in keeping your notes organized and easily accessible.
A note organizer can help you categorize and label your notes, making it easier to find the information you need when you need it.
Thus,
A note organizer is not important if you know how to take good notes is false.
Learn more about note organizers here:
https://brainly.com/question/29775533
#SPJ7
The results of a medical test show that of 39 people selected at random who were given the test, 33 tested negative and 6 tested positive. Determine the odds against a person selected at random from these 39 people testing negative on the test.
Given Information:
Total number of people = 39
Number of people who tested negative = 33
Number of people who tested positive = 6
Required Information:
Probability of finding a person who tested negative = ?
Answer:
P( x = 1 ) = 0.000315 = 0.0315%
Step-by-step explanation:
Let the probability of success is denoted by those who test negative,
p = 33/39
p = 0.85
Then the probability of failure is denoted by those who test positive,
q = 1 - p = 1 - 0.15 = 0.85
We want to find out the probability of finding a random person who test negative.
P( x = 1 ) = (p³⁹⁻¹)(1 - p)¹
P( x = 1 ) = (0.85³⁹⁻¹)(1 - 0.15)¹
P( x = 1 ) = 0.0021*0.15
P( x = 1 ) = 0.000315
Therefore, the Probability of finding a person who tested negative is 0.0315%