Refer to Exercise 38.

a. Find the probability of getting a difference in sample means x¯M−x¯Wx¯M-x¯Wthat’s greater than 2inches.

b. Should we be surprised if the sample mean height for the young men is at least2 inches greater than the sample mean height for the young women? Explain your answer.

Short Answer

Expert verified

Part a. The probability is 0.9949

Part b. No.

Step by step solution

01

Part a. Step 1. Given information

From the previous exercise, we have:

μ=4.8σ=1.0883x=2

02

Part a. Step 2. Explanation

The z score is the value decreased by the mean and divided by the standard deviation. Then we have,

z=x-μσ=2-4.81.0883=-2.57

Now we will determine the value of the probability, that is:

P(x¯M-x¯W2)=P(Z>-2.57)=1-P(Z<-2.57)=1-0.0051=0.9949=00.49%

03

Part b. Step 1. Explanation

It is given that:

z=x-μσ=2-4.81.0883=-2.57

And the probability is 0.9949.

Thus, a probability is considered to be small when the probability is less than 0.05.

We then note that the probability of the mean differencex¯M-x¯W being at least two is large which means that it is unlikely that the mean difference is at least two and thus we would be not be surprised if the sample mean height for the young men is at least two inches greater than the sample mean height for the young women. Thus, we should not be surprised.

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Most popular questions from this chapter

Have a ball! Can students throw a baseball farther than a softball? To find out, researchers conducted a study involving 24randomly selected students from a large high school. After warming up, each student threw a baseball as far as he or she could and threw a softball as far as he she could, in a random order. The distance in yards for each throw was recorded. Here are the data, along with the difference (Baseball – Softball) in distance thrown, for each student:

a. Explain why these are paired data.

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e. Use the results of the simulation to estimate the P-value. What conclusion would you draw ?

The P-value for the stated hypotheses is 0.002Interpret this value in the context of this study.

a. Assuming that the true mean road rage score is the same for males and females, there is a 0.002probability of getting a difference in sample means equal to the one observed in this study.

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c. Assuming that the true mean road rage score is different for males and females, there is a 0.002 probability of getting a difference in sample means at least as large in either direction as the one observed in this study.

d. Assuming that the true mean road rage score is the same for males and females, there is a 0.002 probability that the null hypothesis is true.

e. Assuming that the true mean road rage score is the same for males and females, there is a 0.002 probability that the alternative hypothesis is true.

Does drying barley seeds in a kiln increase the yield of barley? A famous

experiment by William S. Gosset (who discovered the t distributions) investigated this

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Do these data provide convincing evidence at the α=0.05 level

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c. Do the data provide convincing evidence at the α=0.01,3051526=0.200=20%significance level that subliminal messages help students like the ones in this study learn math, on average?

d. Can we generalize these results to the population of all students who failed the mathematics part of the City University of New York Skills Assessment Test? Why or why not?

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