HSCI 345 Exam 2 UPDATED QUESTIONS
AND CORRECT ANSWERS
experiments - CORRECT ANSWER -the simplest form of experiment that can be done
is one with only one independent variable that is manipulated in only two ways and only one
outcome variable that is measured
-usually involves having an experimental and control condition
-can be analyzed with a t-test
one sample t-test - CORRECT ANSWER compares a sample mean to a known
population parameter
independent t-test - CORRECT ANSWER compares two means based on independent
data
ex. data from different groups of people
dependent t-test - CORRECT ANSWER compares two means based on related data
ex. data from the same people measured at different time
a one sample t-test is appropriate because... - CORRECT ANSWER -a known
population average (mu) exists
-a sample average and standard deviation can be calculated
-data from the sample is not tied or dependent to the population average (i.e. independence)
, assumptions of the t-test - CORRECT ANSWER the one sample t-test is a parametric
test based on the normal distribution. therefore, the test assumes:
-the dependent variable is normally distributed
-the data is collected randomly
-data is independent
systematic variance - CORRECT ANSWER variance created by our manipulation
unsystematic variance - CORRECT ANSWER variance created by unknown factors
rationale for using an independent groups t-test - CORRECT ANSWER an independent
groups t-test is appropriate because:
-only two levels exist for the independent variable (experimental & control)
-participants are tested independently, under only one level of the independent variable
-the dependent variable is at least interval or ratio level of measurement
assumptions of the independent t-test - CORRECT ANSWER the independent t-test is
a parametric test based on the normal distribution. therefore, the test assume:
-the dependent variable is normally distributed
-the dependent variable is continuous with a interval or ratio level of measurement
-the variance in the groups are roughly equal (homogeneity of variance)
AND CORRECT ANSWERS
experiments - CORRECT ANSWER -the simplest form of experiment that can be done
is one with only one independent variable that is manipulated in only two ways and only one
outcome variable that is measured
-usually involves having an experimental and control condition
-can be analyzed with a t-test
one sample t-test - CORRECT ANSWER compares a sample mean to a known
population parameter
independent t-test - CORRECT ANSWER compares two means based on independent
data
ex. data from different groups of people
dependent t-test - CORRECT ANSWER compares two means based on related data
ex. data from the same people measured at different time
a one sample t-test is appropriate because... - CORRECT ANSWER -a known
population average (mu) exists
-a sample average and standard deviation can be calculated
-data from the sample is not tied or dependent to the population average (i.e. independence)
, assumptions of the t-test - CORRECT ANSWER the one sample t-test is a parametric
test based on the normal distribution. therefore, the test assumes:
-the dependent variable is normally distributed
-the data is collected randomly
-data is independent
systematic variance - CORRECT ANSWER variance created by our manipulation
unsystematic variance - CORRECT ANSWER variance created by unknown factors
rationale for using an independent groups t-test - CORRECT ANSWER an independent
groups t-test is appropriate because:
-only two levels exist for the independent variable (experimental & control)
-participants are tested independently, under only one level of the independent variable
-the dependent variable is at least interval or ratio level of measurement
assumptions of the independent t-test - CORRECT ANSWER the independent t-test is
a parametric test based on the normal distribution. therefore, the test assume:
-the dependent variable is normally distributed
-the dependent variable is continuous with a interval or ratio level of measurement
-the variance in the groups are roughly equal (homogeneity of variance)
