QUESTION 1
1. Statistical significance is:
A. a statement of probability
B. a statement of certainty
4.5 points
QUESTION 2
1. Steve’s result showed that p = .048. Using a .05 level of significance, this finding _____ statistically significant.
A. is
B. is not
4.5 points
QUESTION 3
1. An all-inclusive group of people having something in common defines the:
A. population
B. sample
C. statistic
D. measurement scale
4.5 points
QUESTION 4
1. If Omega University had a total student enrollment of 6000, and 250 of these students were selected for testing, the group being tested would constitute:
A. the population
B. a parameter
C. the sample
D. a statistic
4.5 points
QUESTION 5
1. The standard deviation is a measure of
A. how much on average the middle 50% of cases vary from the mean
B. how much the highest and lowest scores vary from each other
C. how much on average the scores vary from the mean
D. central tendency
4.5 points
QUESTION 6
1. The two most common descriptive statistics reported for numeric data are:
A. frequency (n) and percentage
B. mean and range
C. mean and median
D. mean and standard deviation
4.5 points
QUESTION 7
1. Which is an example of nominal data?
A. The type of car you drive
B. Your ACT score
C. The order you finish this quiz in (1st, 2nd, etc.)
D. Your shoe size
4.5 points
QUESTION 8
1. What do inferential statistics do?
A. test to see if a significant difference or relationship exists
B. describe a set of data
C. tell if a study is valid
4.5 points
QUESTION 9
1. A paired samples t test compares:
A. The means from 2 different groups
B. The relationship between 2 groups
C. The amount of spread around the mean
D. The means of 2 sets of scores that come from the same group
4.5 points
QUESTION 10
1. Why should you use an ANOVA instead of multiple t tests?
A. To increase reliability
B. To decrease the validity
C. To increase probable cause
D. To decrease the chance of Type 1 error
4.5 points
QUESTION 11
1. Sometimes you need to follow up an ANOVA with a post hoc test. When do you need to use a follow-up test?
A. When there are more than 2 groups
B. When the result is significant
C. When the p-value is only slightly higher than .05
D. Both a and b
E. Both b and c
4.5 points
QUESTION 12
1. What does a Tukey test do?
A. Tells you if you need a follow-up test.
B. Tells you if you ran the correct test.
C. Compares the groups to each other one pair at a time to see where the difference is.
4.5 points
QUESTION 13
1. What does a factorial ANOVA do that a one-way ANOVA doesn’t do?
A. Makes within-subjects comparisons (e.g., can compare pre-tests and post-tests).
B. Makes comparisons between multiple sets of groups (multiple independent variables).
C. Looks for relationships as well as differences.
4.5 points
QUESTION 14
1. A normal curve always has
A. a greater frequency of scores below the mean than above the mean.
B. a greater frequency of scores around the center (the mean) than in the tails.
C. a greater frequency of scores above the mean than below the mean.
D. a greater frequency of scores in the tails than around the center.
4.5 points
QUESTION 15
1. Under the normal curve, 68% of the cases must always fall
A. above the mean.
B. between +/- 1 standard deviation units from the mean.
C. between +/- 2 standard deviation units from the mean.
D. all of these, depending on the particular shape of the curve.
4.5 points
QUESTION 16
1. What does a Pearson r correlation test?
A. The relationship between 2 variables.
B. The relationship between 3 variables.
C. The difference between 2 groups.
D. The difference between 2 variables.
4.5 points
QUESTION 17
1. When the null hypothesis is not accepted, then we assume that
A. there is a true difference (or relationship) between groups
B. there’s not a true difference (or relationship) between groups
4.5 points
QUESTION 18
1. Which of the following cannot be a Pearson r value?
A. -.80
B. .72
C. .0
D. 2.1
4.5 points
QUESTION 19
1. When variable A correlates strongly with B, then
A. A has caused B
B. B has caused A
C. variable B correlates strongly with A
D. none of these
4.5 points
QUESTION 20
1. What does a one-way ANOVA do?
A. Looks for relationships as well as differences.
B. Compares 3 groups on one interval variable.
C. Compares 2 or more groups on 2 interval variables.
D. Compares 2 or more groups on one interval variable while factoring out other variables.
E. Compares 2 or more groups on one interval variable.
4.5 points
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