teacher believes that students who study more than four hours for her tests will do better than students who do not study for her tests.  To test this belief, the teacher recruited 16 students and randomly assigned them to two groups:  G1: a group of n1=8 students that studied more than four hours for her test, and G2: a group of n2=8 students that did not study for her test.    The following are the data from G1, who studied more than four hours for the test:   n1=8   M1=85   s1=5 (this is the standard

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 27PPS
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A teacher believes that students who study more than four hours for her tests will do better than students who do not study for her tests.  To test this belief, the teacher recruited 16 students and randomly assigned them to two groups:  G1: a group of n1=8 students that studied more than four hours for her test, and G2: a group of n2=8 students that did not study for her test. 
 
The following are the data from G1, who studied more than four hours for the test:
  n1=8
  M1=85
  s1=5 (this is the standard deviation of the sample, dividing the sum of squares by n1)
 
The following are the data from G2, who did not study for the test:
  n2=8
  M2=75
  s2=4 (this is the standard deviation of the sample, dividing the sum of squares by n2)
 
Perform a t-test by answering the questions below.  Use an alpha-level of α=.05.   
0.  Using formulas from Section 4, compute the estimates of the population variances, est. σ12 and est. σ22 (from s1 and s2 above).
1.  What is the research hypothesis, H1?
2.  What is the null hypothesis, H0?
3.  What is the degrees of freedom for this problem, df?
4.  What is the critical value of t, tcrit?  (Be sure to use a + or a - sign for your answer.)
5.  What is the mean of the distribution of the difference between independent sample means, μM1-M2?
6.  What is the standard deviation of the distribution of the difference between independent sample means, σM1-M2?
7.  What is the z-score of the difference between sample means, M1-M2?
8.  Based on the relation between the critical value of t and the t-score of the difference between sample means, can you reject the null hypothesis?
9.  Based on whether or not you can reject the null hypothesis, can you accept the research hypothesis?
Show your work for all problems.

 

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