Navigation » List of Schools » Los Angeles Harbor College » Statistics » Statistics 001 – Elementary Statistics I for the Social Sciences » Spring 2020 » Exam 3
Below are the questions for the exam with the choices of answers:
Question #1
A No reasonable interpreatations can be drawn from this dataset since it is based on sample data
B Parents and non-parents in the population, differ in their views on contraception-based sex education
C Parents and non-parents in the sample groups, do not differe in their views on contraception-based sex education.
D Parents and non-parents in the population, do not differ in their views on contraception-based sex education
Question #2
A Yes, it is s.s.
B No, it is NOT s.s.
Question #3
A retain.
B reject
Question #4
A 2
B 2.58
C 1.98
D 1.96
Question #5
A -0.88
B 0.88
C 2.1
D -2.1
Question #6
A ANOVA
B Before/after testing (same sample measured twice)
C Testing the difference between means for independent samples
D Two sample test of proportions (AKA Difference between proportions)
E Chi-square
Question #7
A There is a diference in opinions on teaching contraception-based sex educaiton in public schools between parent and non-parents
B There is a diference in opinions on teaching contraception-based sex educaiton in public schools between parent and non-parents
C There is no diference in opinions on teaching contraception-based sex educaiton in public schools between parent and non-parents
D There is no diference in opinions on teaching contraception-based sex educaiton in public schools between parent and non-parents, in the population
Question #8
A Impossible to say
B Gets smaller
C Gets larger
D Does not change
Question #9
A All variances are assumed to be equal
B All samples must be selected randomly
C All data must be interval level data
D All of the above are true
Question #10
A The larger the sum of squares within groups compared to the sum of squares between groups
B The less likely an observed difference is due to chance
C The more likely an oberved difference is due to chance
D The larger the mean square within groups compared to the mean square between groups.
Question #11
A Dividing the mean square between by the mean square within
B Dividing the mean square within by the mean square between
C Dividing the degrees of freedom within by degrees of freedom between
D None of the above
Question #12
A Calculated by dividing the sum of squares between by the degrees of freedom between
B Calculated by dividing the sum of squares within by the degrees of freedom within
C Is a method for assessing variation in conjunction with the sum of squares
D All of the above.
Question #13
A For the total sample
B All of the abve
C Within groups
D Between groups
Question #14
A Total variation
B Within group variation
C Between group variation
D None of the above
Question #15
A a z-score critical valu of 1.96
B a 95% confidence interval
C a probability of the findings being the result of sampling error
D all of the above.
Question #16
A The degrees of freedome is based on the total number of scores.
B Two scores exist for each respondent
C The null hypothesis states that the two groups are not equal
D None of the above is true.
Question #17
A The larger our critical (table) t value
B The larger the probability of making a Type 1 error
C The less probable that our results are due to chance alone
D The more probable that our results are due to chance alone
Question #18
A cannot be properly estimated
B requires only one samples characteristics
C does not include the sample sizes
D is an estimate of the standard deviation in a sampling distribution of difference
Question #19
A Means a skewed distribution
B Means a normal distribution
C Means a higher probability of the obtained difference being a result of sampling error
D Means a lower probability of the obtained difference being a result of sampling error
Question #20
A Made the correct decision
B Made a Type 2 error
C Made a Type 1 error
D None of the above
Question #21
A Claim that a significant difference exists between groups
B Have an obtained (calculated) t value greater than our critical (table) value
C conclude that the sampling error is responsible for our obtained difference
D Have committed a Type 2 error
Question #22
A Senior citizens driving behaviors do not differ from those of teenagers
B Gang members differ from non-gang members in perceptions of violence
C Juveniles do ot differ from adults in criminal offense behaviors
D Catholics and protestants pray the same amount
Question #23
A the likelihood that the median will be the most frequent score
B the likelihood the mean and the median and the moe will all have the same value
C the likelihood that the samples were drawn from populations with equal medians
D the likelihood that the mean will be greater than the media
Question #24
A only applicble to interval level data
B not applicable for nominal data
C more “robust” than parametric tests
D less powerful than parametric tests
Question #25
A a parametric test
B Pearson’s r
C a chi-square test
D a difference between means test
Question #26
A square all values
B accept the null hypothesis
C use Yates’ adjusted formula
D reject the null hypothesis
Question #27
A the frequences one would expect if the sample was normally distributed
B The frequences one would expect if the sample was truly representative of the population
C the frequences one would expect if the research hypothesis was true
D The frequences one would expect if the null hypothesis was true
Question #28
A the distinction between two interval level variables
B the distinction between one ordinal and one interval level variable
C only observed frequences
D the distinction between expected and observed frequencies