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  1. _______________________research typically involves the use of advanced statistical analysis.

 

 

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  1. Although there is no theoretical zero point in _________________ level data, it does

 

share the ability of mathematical manipulation with ______________________ data.

 

 

  1. Fruit, Colors, Bread are ________________ variables.

 

 

  1. When there is no inherent order and the elements/categories have the same value, the variables are said to be ___________________.

 

 

  1. Cities, States, and Countries are ____________________variables.

 

 

  1. When data are displayed in an inherent order and categories they are said to be _________________________.

 

  1. Interpret the Frequency Distribution Table below.

__________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________

 

  1. What category would you likely consider as the mode? ________________________.

 

  1. What is the mean of these data? ___________________________________________________________.

 

  1. What valid proportion of people believe that the Bible is a book of fables? _______%.

 

 

  1. The graph above is referred to as a _______________________ with a normal curve imposed on top of it.

 

 

 

  1. What point in the graph above represents where the mean of these data could be found?

 

 

 

 

 

 

  1. What is the modal category of the data above? ____________________________________________.

 

  1. What is the median category of the data above? ________________________________________

 

 

  Nominal Ordinal Interval Ratio
Mean        
Median        
Mode        
Variance        
Standard Deviation        
Range        
  1. Match the appropriate level of measurement with the following measure of central tendency and variability.
  2. Which measure of central tendency would generally be more accurate when describing a skewed distribution with the presence of outliers? ____________________.

 

 

 

 

 

Level of Measurement Concept Sample Variable
     
     
     
     
  1. Indicate each level of measurement/variable and the essential concepts involved in each measurement, provide an example of each.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Where is the rejection region?
  1. Using the table below for independent t-test for groups, the following research/alternative hypothesis was generated: men and women agree on the ideal number of children in a family. Does the data support this hypothesis?  Why or why not?

________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________

 

Group Statistics

2  FEMALE

  SEX  RESPONDENTS SEX N Mean Std. Deviation Std. Error Mean
CHLDIDEL  IDEAL NUMBER OF CHILDREN 1  MALE 397 2.89 1.767 .089
497 3.05 1.806 .081

 

 

            Independent Samples Test

 

Equal variances assumed Sig. df Sig. (2-tailed) Mean Difference Std. Error Difference 95% Confidence Interval of the Difference  Upper

  CHLDIDEL  IDEAL NUMBER OF CHILDREN
Equal variances not assumed
Levene’s Test for Equality of Variances F .004  
.951  
t-test for Equality of Means t -1.334 -1.337
892 856.583
.183 .182
-.16 -.16
.120 .120
Lower -.397 -.396
.076 .075

 

  1. What is the average number of children that men say are ideal __________; what is the average number of children that women say are ideal ____________?

 

  1. What does the Levene’s Test for Equality of Variances suggest to us about the results? (*hint* homogeneity of variance)

_____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________

  1. If you only wish to include a nominal variable and an ordinal variable in a statistical model, what test statistic/method would be most appropriate for their use? __________________________________________.

 

 

 

  1. Under what circumstances would you use a paired t-test?

________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________

           

Paired Samples Statistics

 

PREDV4 PREDV9

  Mean N Std. Deviation Std. Error Mean
Pair 1 POSTDV4 7.4615 52 2.98665 .41417
7.0385 52 2.97019 .41189
Pair 2 POSTDV9 8.5882 51 1.74558 .24443
6.4902 51 2.75951 .38641

 

Paired Samples Test

 

  Paired Differences t df Sig. (2-tailed)
  Mean Std. Deviation Std. Error Mean 95% Confidence Interval of the Difference      
        Lower Upper      
Pair 1 POSTDV4 – PREDV4 .4231 3.29198 .45651 -.4934 1.3396 .927 51 .358
Pair 2 POSTDV9 – PREDV9 2.0980 3.07412 .43046 1.2334 2.9626 4.874 50 .000

 

 

 

  1. Interpret the above t-test results for both pairs. Be detailed as possible.

____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________

  1. One of the most important assumptions about χ2 is that there are at least ______ cases for every cell.

 

 

 

  1. A categorical variable that contains just two categories is also known as ____________________________. Provide example____________________.

 

 

 

  1. The Pearson Correlation Coefficient is represented by the lower-case letter _____.

 

 

 

  1. The terminology often used for r2 is the______________________________________, and is used to quantify the relationship between continuous variables.

 

 

Interpret suggested aspects of the following correlation matrix

 

Variable

 

   Age Education Happy Fear
Age Pearson

Sig (2-tailed)

N

 1

 

2803

 -.104**

.000

2802

 .023

.391

1333

 -.032

.336

893
Education Pearson

Sig (2-tailed)

N

 -.104**

.000

2802

 1

 

2810

 -.127**

.000

1336

 .044

.192

894
Happy Pearson

Sig (2-tailed)

N

 .023

.391

1333

 -.127**

.000

1336

 1

 

1337

 .033

.324

892
Fear Pearson

Sig (2-tailed)

N

 -.032

.336

893

 .044

.192

894

 -.033

.324

892

 1

 

895

Correlation is significant at the p < .05.  **

 

 

  1. Indicate the significant correlations as provided in the table shown above?

r = ________   p=_________ , r = _________   p=_________,  and what do these correlations suggest?

 

________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________

 

  1. What is the correlation between being fearful and age? r = ______, p = _____.

What does it suggest?

________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________

 

 

 

  1. An R² value of .35 tells us that .35%, 3.5%, 35%, or 65% of the variance in one variable is explained by another variable_____________?

 

 

 

 

Where is the rejection region?

 

 

 

 

 

 

 

 

 

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