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