In: Statistics and Probability
Dr. Abba believes A developmental psychologist believes that
word chunking impairs vocabulary development. that students will
rate their life satisfaction lower at the completion of a
anthropology course. To test this hypothesis, he collects life
satisfaction ratings for all students in the course at the start of
the semester and again at the end of the semester. Below are the
data. What can be concluded with an an α of 0.01?
start | end |
91 84 86 66 90 88 87 79 88 87 |
82 75 82 81 91 81 87 76 81 82 |
c) Obtain/compute the appropriate values to
make a decision about H0.
(Hint: Make sure to write down the null and alternative hypotheses
to help solve the problem.)
critical value = ; test statistic =
Decision: ---Select--- Reject H0 Fail to reject H0
d) If appropriate, compute the CI. If not
appropriate, input "na" for both spaces below.
[ , ]
e) Compute the corresponding effect size(s) and
indicate magnitude(s).
If not appropriate, input and/or select "na" below.
d = ; ---Select--- na trivial
effect small effect medium effect large effect
r2 = ; ---Select--- na
trivial effect small effect medium effect large effect
f) Make an interpretation based on the
results.
Student life satisfaction is significantly lower at the completion of the anthropology course.
Student life satisfaction is significantly higher at the completion of the anthropology course.
Student life satisfaction is not significantly impacted by the anthropology course.
c)
Answer:
critical value = 2.821
test statistic = 1.242
Decision: Fail to reject H0
Explanation:
Since we are doing repeated measures on the same subject, this is a paired sample study design.
Hypothesis
The null hypothesis and the alternative hypothesis are defined as,
This is a right-tailed test.
Critical value
The significance level of the test is 0.01
The t critical value is obtained from the t critical value table for significance level = 0.01, the degree of freedom =n-1 = 9, and for a one-tailed test.
Test statistic
The t statistic for the paired-sample t-test is obtained using the following formula,
From the data values,
. | Start | End | Difference = Start - End |
. | 91 | 82 | 9 |
. | 84 | 75 | 9 |
. | 86 | 82 | 4 |
. | 66 | 81 | -15 |
. | 90 | 91 | -1 |
. | 88 | 81 | 7 |
. | 87 | 87 | 0 |
. | 79 | 76 | 3 |
. | 88 | 81 | 7 |
. | 87 | 82 | 5 |
Average | . | . | 2.8 |
St. Dev. | . | . | 7.131 |
n | . | . | 10 |
Decision:
Since the t statistic = 1.242 is less than the t critical value, the null hypothesis is not rejected at a 1% significance level.
d)
Answer:
Explanation:
The 99% confidence interval for the mean difference is obtained using the following formula,
where the t critical value is obtained from the t critical value table for significance level = 0.01, the degree of freedom =n-1 = 9, and for a two-tailed test.
From the data values,
e)
Answer:
d = 0.397, medium effect
r^2 = 0.146, medium effect
Explanation:
Cohen's d
The effect size d is obtained using the following formula,
The value of d = 0.4 corresponds to medium effect
r squared
The effect size r squared is obtained using the following formula,
The value of r squared = 0.15 corresponds to medium effect
f)
Answer:
Student life satisfaction is not significantly impacted by the anthropology course.
Explanation:
From the hypothesis test in part c, the null hypothesis is failed to rejected which means the mean difference is not less than zero. Hence we can conclude that there is not sufficient evidence to conclude that student life satisfaction is lower at the completion of an anthropology course