Exam 3

A  Parents and non-parents in the population, differ in their views on contraception-based sex education

B  Parents and non-parents in the sample groups, do not differe in their views on contraception-based sex education.

C  No reasonable interpreatations can be drawn from this dataset since it is based on sample data

D  Parents and non-parents in the population, do not differ in their views on contraception-based sex education

A  Yes, it is s.s.

B  No, it is NOT s.s.

A  reject

B  retain.

A  1.96

B  2.58

C  1.98

D  2

A  0.88

B  2.1

C  -2.1

D  -0.88

A  Two sample test of proportions (AKA Difference between proportions)

B  ANOVA

C  Chi-square

D  Testing the difference between means for independent samples

E  Before/after testing (same sample measured twice)

A  There is no diference in opinions on teaching contraception-based sex educaiton in public schools between parent and non-parents, in the population

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 a diference in opinions on teaching contraception-based sex educaiton in public schools between parent and non-parents

A  Gets smaller

B  Does not change

C  Impossible to say

D  Gets larger

A  All samples must be selected randomly

B  All data must be interval level data

C  All variances are assumed to be equal

D  All of the above are true

A  The less likely an observed difference is due to chance

B  The larger the sum of squares within groups compared to the sum of squares between groups

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.

A  Dividing the degrees of freedom within by degrees of freedom between

B  Dividing the mean square within by the mean square between

C  Dividing the mean square between by the mean square within

D  None of the above

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.

A  Between groups

B  All of the abve

C  For the total sample

D  Within groups

A  Within group variation

B  Total variation

C  Between group variation

D  None of the above

A  a 95% confidence interval

B  a z-score critical valu of 1.96

C  a probability of the findings being the result of sampling error

D  all of the above.

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.

A  The less probable that our results are due to chance alone

B  The more 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

A  requires only one samples characteristics

B  does not include the sample sizes

C  is an estimate of the standard deviation in a sampling distribution of difference

D  cannot be properly estimated

A  Means a higher probability of the obtained difference being a result of sampling error

B  Means a lower probability of the obtained difference being a result of sampling error

C  Means a skewed distribution

D  Means a normal distribution

A  Made a Type 2 error

B  Made a Type 1 error

C  Made the correct decision

D  None of the above

A  Claim that a significant difference exists between groups

B  conclude that the sampling error is responsible for our obtained difference

C  Have committed a Type 2 error

D  Have an obtained (calculated) t value greater than our critical (table) value

A  Gang members differ from non-gang members in perceptions of violence

B  Senior citizens driving behaviors do not differ from those of teenagers

C  Juveniles do ot differ from adults in criminal offense behaviors

D  Catholics and protestants pray the same amount

A  the likelihood that the mean will be greater than the media

B  the likelihood the mean and the median and the moe will all have the same value

C  the likelihood that the median will be the most frequent score

D  the likelihood that the samples were drawn from populations with equal medians

A  only applicble to interval level data

B  not applicable for nominal data

C  less powerful than parametric tests

D  more “robust” than parametric tests

A  a chi-square test

B  a parametric test

C  Pearson’s r

D  a difference between means test

A  reject the null hypothesis

B  accept the null hypothesis

C  use Yates’ adjusted formula

D  square all values

A  the frequences one would expect if the research hypothesis was true

B  The frequences one would expect if the null hypothesis was true

C  The frequences one would expect if the sample was truly representative of the population

D  the frequences one would expect if the sample was normally distributed

A  the distinction between expected and observed frequencies

B  only observed frequences

C  the distinction between two interval level variables

D  the distinction between one ordinal and one interval level variable