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BUAL 2650 YAN EXAM 2 QUESTIONS & ANSWERS

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BUAL 2650 YAN EXAM 2 QUESTIONS & ANSWERS

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BUAL 2650
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BUAL 2650








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Institution
BUAL 2650
Course
BUAL 2650

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Uploaded on
November 17, 2025
Number of pages
4
Written in
2025/2026
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BUAL 2650 YAN EXAM 2 QUESTIONS & ANSWERS

What are matched pairs? - answer -aka matched samples, they are paired up so that
the participants share every characteristic except for the one under investigation

If p < 0.10 - answer -there is some evidence to reject h0

If p < 0.05 - answer -there is strong evidence to reject h0

If p < 0.01 - answer -there is very strong evidence to reject h0

If p < 0.001 - answer -there is extremely strong evidence to reject h0

In testing the difference between the means of two normally distributed populations
using independent random samples with equal variances, the correct test statistic to use
is the _________ - answer -t-test

When testing a hypothesis about the mean of a population of paired differences in
which two different observations are taken on the same units, the correct test statistic to
use is ______ - answer -t

When testing the difference between 2 population proportions using large independent
random samples, the _______ test statistic is used - answer -z

If we are testing the hypothesis about the mean of a population of paired differences
with samples of n1=10, n2=10, the degrees of freedom for the t-statistic is _______ -
answer -9

D0 - answer -a number whose value varies depending on the situation. Often d0 will be
the number 0

Assumptions for t-test statistic - answer -- independent samples
- equal variances
- either normal populations or large sample sizes

Paired differences experiment - answer -an experiment in which we have obtained 2
different measurements on the same "n" units is called ________

Ud (mu d) - answer -the mean of population of paired differences

Dependent (response) variable - answer -variable we wish to understand/ predict

Independent (predictor) variable - answer -the variable we will use to understand or
predict the dependent variable

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