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Coaching and SAT scores Let鈥檚 first ask if students who are coached increased their scores significantly, on average.

a. You could use the information on the Coached line to carry out either a two-sample t test comparing Try 1 with Try 2 or a paired t test using Gain. Which is the correct test? Why?

b. Carry out the proper test. What do you conclude?

Short Answer

Expert verified

Part(a) We will use paired t test.

Part(b) There are proper evidience that crores of students who are coached increased their scores significantly

Step by step solution

01

Part(a) Step 1 : Given information

We need to find which test to carry out either a two-sample t test comparing Try 1 with Try 2 or a paired t test using Gain.

02

Part(a) Step 2 : Simplify

The researcher wants to know if the students are coached and if so, whether their scores will improve.

To use the paired t test if every value in one sample has a corresponding value in the other sample; otherwise, use the two-sample t test.
As each subject is dependent, we will use the paired t test in this scenario.

03

Part(b) Step 1 : Given information

We need to draw conclusion from test.

04

Part(b) Step 2 : Simplify

As given,

=0.05n=427xD=29sD=59

Now, all conditions Random, Independent and Normal are fulfilled then it is right to take hypothesis test.

Mean difference is positive. So, it is either null hypothesis or alternative hypothesis.

H0:D=0Ha:D>0

Statistics of test :

t=xD-DsDn=29-059427=10.157

Now,

df=n-1=427-1=426

Check df=100, P-value will be :

P<0.0005

P-value is less than significance level then reject null hypothesis,

Then P<0.05RejectH0

Therefore, there is convincing evidence that students who are coached increased their scores significantly.

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Most popular questions from this chapter

Better barley 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 question. Eleven pairs of adjacent plots were marked out in a large field. For each pair, regular barley seeds were planted in one plot and kiln-dried seeds were planted in the other. A coin flip was used to determine which plot in each pair got the regular barley seed and which got the kiln-dried seed. The following table displays the data on barley yield (pound per acre) for each plot.

Do these data provide convincing evidence at the =0.05level that drying barley seeds in a kiln increases the yield of barley, on average?

Sports Illustrated planned to ask a random sample of Division I college athletes, 鈥淒o you believe performance-enhancing drugs are a problem in college sports?鈥 Which of the following is the smallest number of athletes that must be interviewed to estimate the true proportion who believe performance-enhancing drugs are a problem within 2% with 90% confidence?

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Music and memory Refer to Exercise 87.

a. Construct and interpret a 99%confidence interval for the true mean difference. If you already defined the parameter and checked conditions in Exercise87, you don鈥檛 need to do them again here.

b. Explain how the confidence interval provides more information than the test in Exercise .

Music and memory Does listening to music while studying help or hinder students鈥 learning? Two statistics students designed an experiment to find out. They selected a random sample of 30students from their medium-sized high school to participate. Each subject was given 10minutes to memorize two different lists of 20words, once while listening to music and once in silence. The order of the two word lists was determined at random; so was the order of the treatments. The difference (Silence 鈭 Music) in the number of words recalled was recorded for each subject. The mean difference was 1.57and the standard deviation of the differences was 2.70.

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c. Based on your conclusion in part (a), which type of error鈥攁 Type I error or a Type II error鈥攃ould you have made? Explain your answer.

Coaching and SAT scores What we really want to know is whether coached students improve more than uncoached students, on average, and whether any advantage is large enough to be worth paying for. Use the information above to answer these questions:

a. How much more do coached students gain, on average, compared to uncoached students? Construct and interpret a 99%confidence interval.

b. Does the interval in part (a) give convincing evidence that coached students gain more, on average, than uncoached students? Explain your answer.

c. Based on your work, what is your opinion: Do you think coaching courses are worth paying for?

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