Chi-Squared Test of Goodness of Fit
Chi-Squared Test for Homogeneity
Chi-Squared Test for Independence
Inferences for Regression
Potpourri
100

What is the counted data condition?


The data must be counted for categories of a single categorical variable

100

What is the purpose of a Chi-Squared Test for Homogeneity?

compare how similar two different distributions are to one another

100

What is the difference between the Chi-Squared Test for independence? 

now we have a single population and want to know if two variables relating to that population are independent of each other

100

If we want to generalize our results from the sample to a larger population, we can? 

Test hypotheses about the slope and y-intercept of the regression line

100

What is a chi-square model?

Chi-square models are a family of sampling distributions like t distributions 

200

What is the conclusion statement?

If the distribution of _ were as they have been historically, then the observed distribution or more would occur less than _% of the time by chance. Reject/fail to reject the null at a significance level of _%. There is/isn’t statistical evidence the distribution of _ does not match the historical distribution.

200

You can never prove the null hypothesis, only....

fail to reject

200

The chi-squared Test for Independence has the same mechanics as which other test? 

test for homogeneity

200

What is the Quantitative Data Condition? 

The data must be quantitative and bi-variate

200

What is the equal variance assumption?

The residual scatterplot should not have a fan shape and the residual histogram should be approximately normal.

300

What is the degree of freedom?

N-1

300

How would you check the assumption that the expected frequency in each cell is at least 5? 

Determine the row and column totals for your table

300

What are the conditions or assumptions that must be satisfied to validly perform a Chi-Squared Test for Independence?  

Random Sampling, Independence, Expected Cell Count, and Categorical Data conditions

300

What is the standard error formula?

 s/sx square root n-1

300

What are the number of sides the tests have?

One-sided

400

What is the expected cell frequency condition?

We should expect to see at least 5 people in each cell.

400

Why don't we check for independence?

because we are not usually trying to generalize to a larger population

400

What is the formula for degrees of freedom in a Chi-Squared Test for Independence? 

((R-1)(C-1)) R=Number of Rows C=Number of Columns

400

What is the confidence interval equation?

b1 ± t*n-2 x SE(b1)

400

What is a chi-square rule?

The larger the residual the larger the chi-squared statistic 

500

What is the alternate hypothesis?

The distribution of (blank) were not as they have been historically.  

500

What is the correct chi-square model for the df?

 ((R-1)(C-1)) R=Number of Rows C=Number of Columns

500

What are the expected counts?

the projected frequencies in each cell if the null hypothesis is true

500

What is the null hypothesis?

 The slope is zero

500

What is the residual equation?

 c= (Observed -Expected) / Root Expected