Generally, the average typing speed is 56 words per minute (wp).
A professor wanted to see where his students stand compared to the
population. He tested 24 of his students and obtained the following
estimates: an average typing speed of 58 with a variance of 361.00.
What can the professor conclude with α = 0.01?
a) What is the appropriate test statistic?
---Select--- na z-test One-Sample t-test Independent-Samples t-test
Related-Samples t-test
Also state population and sample from choices below
Population:
---Select--- student typing speed the professor the students
average typing speed typing speed
Sample:
---Select--- student typing speed the professor the students
average typing speed typing speed
b) Compute the appropriate test statistic(s) 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
c) If appropriate, compute the CI. If not
appropriate, input "na" for both spaces below.
[ , ]
D Compute the corresponding effect size(s) and
indicate magnitude(s).
If not appropriate, input and/or select "na" below.
Find d = ; ---Select--- na trivial
effect small effect medium effect large effect
Find r2 = ; ---Select---
na trivial effect small effect medium effect large effect
Make an interpretation based on the results.
A. Student typing speed is significantly higher than average.
B . Student typing speed is significantly lower than average.
C.Student typing speed did not significantly differ from the average.
2-tailed t-test | ||
mean | 58 | |
sd | 19 | |
n | 24 | |
alpha | 0.01 | |
mu | 56 | |
a) | one sample t-test | |
population | average typing speed | |
sample | typing speed of students | |
b) | ||
critical | 2.8073 | |
TS | 0.5157 | |
decision | fail to reject | |
c) | ||
lower | -8.8879 | |
upper | 12.8879 | |
d) | ||
d | 0.1053 | trivial |
r^2 | 0.0114 | small |
interpretation | option C) | |
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