BUAL 2650 Yan Exam 2 Questions and Correct Verified 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
regression analysis - Answer-a statistical technique that uses the observed data to relate the
dependent variable to one or more independent variables
B0 - Answer-the Y-INTERCEPT
B1 - Answer-the SLOPE
E (epsilon) - Answer-an error term that describes the effect on y of all factors other than x
Uy = B0 + B1*X+ E - Answer-the mean value of the dependent variable y when the value of
the independent variable is x
r^2 - Answer-- simple coefficient of determination
- proportion of the total variation explained by the overall regression model
- r^2 = [0, 1]
- r^2= explained variation/ total variation
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
regression analysis - Answer-a statistical technique that uses the observed data to relate the
dependent variable to one or more independent variables
B0 - Answer-the Y-INTERCEPT
B1 - Answer-the SLOPE
E (epsilon) - Answer-an error term that describes the effect on y of all factors other than x
Uy = B0 + B1*X+ E - Answer-the mean value of the dependent variable y when the value of
the independent variable is x
r^2 - Answer-- simple coefficient of determination
- proportion of the total variation explained by the overall regression model
- r^2 = [0, 1]
- r^2= explained variation/ total variation
