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

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

A  Yes, it is s.s.

B  No, it is NOT s.s.

A  reject

B  retain.

A  2

B  1.96

C  2.58

D  1.98

A  -0.88

B  0.88

C  -2.1

D  2.1

A  Chi-square

B  Testing the difference between means for independent samples

C  ANOVA

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

E  Before/after testing (same sample measured twice)

A  There is a 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

C  There is a 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

A  Impossible to say

B  Gets larger

C  Gets smaller

D  Does not change

A  All variances are assumed to be equal

B  All data must be interval level data

C  All samples must be selected randomly

D  All of the above are true

A  The larger the mean square within groups compared to the mean square between groups.

B  The more likely an oberved difference is due to chance

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

D  The less likely an observed difference is due to chance

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

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.

A  Between groups

B  For the total sample

C  All of the abve

D  Within groups

A  Between group variation

B  Total variation

C  Within 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  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.

A  The larger our critical (table) t value

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 less probable that our results are due to chance alone

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

B  cannot be properly estimated

C  requires only one samples characteristics

D  does not include the sample sizes

A  Means a normal distribution

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

C  Means a skewed distribution

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

A  Made a Type 2 error

B  Made a Type 1 error

C  Made the correct decision

D  None of the above

A  Have committed a Type 2 error

B  Claim that a significant difference exists between groups

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

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

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

B  Catholics and protestants pray the same amount

C  Juveniles do ot differ from adults in criminal offense behaviors

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

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 samples were drawn from populations with equal medians

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

A  not applicable for nominal data

B  less powerful than parametric tests

C  more “robust” than parametric tests

D  only applicble to interval level data

A  a chi-square test

B  a difference between means test

C  a parametric test

D  Pearson’s r

A  accept the null hypothesis

B  use Yates’ adjusted formula

C  reject the null hypothesis

D  square all values

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

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

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

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

A  the distinction between expected and observed frequencies

B  the distinction between two interval level variables

C  the distinction between one ordinal and one interval level variable

D  only observed frequences