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 sample groups, do not differe 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, differ 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 reject
B retain.
Question #4
A 1.96
B 2.58
C 2
D 1.98
Question #5
A 2.1
B 0.88
C -0.88
D -2.1
Question #6
A Before/after testing (same sample measured twice)
B Testing the difference between means for independent samples
C Chi-square
D Two sample test of proportions (AKA Difference between proportions)
E ANOVA
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 Gets larger
B Impossible to say
C Gets smaller
D Does not change
Question #9
A All data must be interval level data
B All samples must be selected randomly
C All variances are assumed to be equal
D All of the above are true
Question #10
A The more likely an oberved difference is due to chance
B The larger the mean square within groups compared to the mean square between groups.
C The less likely an observed difference is due to chance
D The larger the sum of squares within groups compared to the sum of squares between groups
Question #11
A Dividing the mean square within by the mean square between
B Dividing the degrees of freedom within by degrees of freedom between
C Dividing the mean square between by the mean square within
D None of the above
Question #12
A Calculated by dividing the sum of squares within by the degrees of freedom within
B Is a method for assessing variation in conjunction with the sum of squares
C Calculated by dividing the sum of squares between by the degrees of freedom between
D All of the above.
Question #13
A All of the abve
B For the total sample
C Between groups
D Within groups
Question #14
A Within group variation
B Between group variation
C Total variation
D None of the above
Question #15
A a probability of the findings being the result of sampling error
B a 95% confidence interval
C a z-score critical valu of 1.96
D all of the above.
Question #16
A The degrees of freedome is based on the total number of scores.
B The null hypothesis states that the two groups are not equal
C Two scores exist for each respondent
D None of the above is true.
Question #17
A The larger the probability of making a Type 1 error
B The larger our critical (table) t value
C The more probable that our results are due to chance alone
D The less probable that our results are due to chance alone
Question #18
A requires only one samples characteristics
B is an estimate of the standard deviation in a sampling distribution of difference
C does not include the sample sizes
D cannot be properly estimated
Question #19
A Means a normal distribution
B Means a lower probability of the obtained difference being a result of sampling error
C Means a skewed distribution
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 1 error
C Made a Type 2 error
D None of the above
Question #21
A Have an obtained (calculated) t value greater than our critical (table) value
B conclude that the sampling error is responsible for our obtained difference
C Claim that a significant difference exists between groups
D Have committed a Type 2 error
Question #22
A Catholics and protestants pray the same amount
B Senior citizens driving behaviors do not differ from those of teenagers
C Juveniles do ot differ from adults in criminal offense behaviors
D Gang members differ from non-gang members in perceptions of violence
Question #23
A the likelihood that the samples were drawn from populations with equal medians
B the likelihood that the median will be the most frequent score
C the likelihood that the mean will be greater than the media
D the likelihood the mean and the median and the moe will all have the same value
Question #24
A less powerful than parametric tests
B not applicable for nominal data
C more “robust” than parametric tests
D only applicble to interval level data
Question #25
A a chi-square test
B Pearson’s r
C a difference between means test
D a parametric test
Question #26
A reject the null hypothesis
B accept the null hypothesis
C use Yates’ adjusted formula
D square all values
Question #27
A The frequences one would expect if the null hypothesis was true
B The frequences one would expect if the sample was truly representative of the population
C the frequences one would expect if the sample was normally distributed
D the frequences one would expect if the research hypothesis was true
Question #28
A only observed frequences
B the distinction between one ordinal and one interval level variable
C the distinction between two interval level variables
D the distinction between expected and observed frequencies