**Frequency Distributions**

For the variable earnrs what is the valid N? ____________

What is the most common answer for the variable earnrs? ______________

What percent of the sample indicate they have 4 family members who earn money? ______________

What percent of the sample have 2 or fewer family members earning money? ______________

What percent of the sample have 4 or more family members earning money? ______________

**Central Tendency**

For the variable hompop find the following

Valid N. _________ Mean _________ Median _________ Mode _________

Min. _________ Max. _________ Standard Deviation _________

Judging from the values of the mean and median, which way will the distribution of the variable hompop be skewed? __________________

**Levels of Measurement**

Identify if the following variables are Ordinal, Nominal, or Interval Ratio

wrkstat ________________________

earnrs ________________________

wealth _________________________

happy ________________________

tvhours ________________________

sibs ___________________________

**T-Tests**

Run a One-Sample T-Test for the variable tvhours. Let’s say you hypothesize that on average, Americans will watch less than 5 hours of TV per day. Fill out the following information’

N _________ T-statistic _________ degrees of freedom _________

level of significance _________ Mean _________ Standard Deviation ____________

Thinking about your hypothesis, what can you conclude about the number of hours people spend watching TV?

**Cross-Tabs and Chi Squares**

Run a cross-tab and chi-square with the two variables conjudge and natroad (natroad will be the dependent variable). Ask for the chi square statistic, the gamma, and Kramer’s V.

Depict your hypothesis as a causal diagram (use boxes and arrows) and explain your reasoning below

Is there a relationship between these two variables?

What is the strength and maximum difference?

What is the direction of the relationship?

Report the Chi-Square statistic _________ Report the Degrees of freedom _________ What is the significance reported in the output? _________

Report the Gamma_________ Report Cramer’s V_________

**Graphs**

Create a Pie chart for the variable wealth

What is the mode for the variable wealth? ___________

What percent of people fall into the category of $100,000 to $150,000? _______________

Create a clustered bar chart for the variable happy and define the clusters by sex

For the category “pretty happy,” did males or females report a greater number? _________________

What percent of females reported being “not too happy”? _________

**Regression**

Create a regression model for the two variables age and weekswrk (weekswrk is the DV)

Report the R-Square value? __________

About what percent of the variation in weeks worked does age explain? _____________

Report the coefficient for age? ____________

What is the intercept term ( *a*)? ______________

Now create a multiple regression model by adding the variable tvhours to the regression model. You will have two IVs: tvhours and age, and your dependent variable is weeksrk.

Did the model improve? _______________

Determine how many weeks a year that a person works at the age of 22, if they watch 4 hours of TV per day.

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