Type of Test
Chapter 4
Chapter 5
Chapter 6
Chapter 7
Chapter 8
100

The type of test used to determine if the average number of hours studied by high school seniors in a week is 5 hours.

What is the one sample t - test?

100

The null hypothesis in a paired t - test.

What is "the average difference in population = 0"?
100

This is the formula used to find degrees of freedom when conducting an independent t - test.

What is the smaller of n1 - 1 and n2 - 1?

100

A table that displays the proportion of individual frequency to the total frequency of the data.

What is a relative frequency table?

100

Type of variables that are displayed in a contingency table.

What are categorical?

100

The statistic that summarizes the direction and strength of the linear relationship in a single numeric value.

What is the Pearson correlation coefficient, r?

200

The type of test used to determine if there is a difference between the GPAs of freshmen, sophomores, juniors, and seniors.

What is an ANOVA?

200

The degrees of freedom in a paired t - test.

What is the number of pairs - 1?

200

The correct conclusion when conducting an independent t - test with p > 0.05

What is "no difference in population means"?

200

The type of chart that shows categorical data frequencies where normality and skewedness are not descriptors we can use.

What is a bar chart?

200

The type of distribution that looks at the overall distribution of one variable, ignoring the other.

What is a marginal distribution?

200

The formula for standardized value of x.

What is zx = (x - mean of x)/standard deviation of x?

300

The type of test that determines if there is a difference between the average number of hours studied by males in high school versus females in high school.

What is the independent t - test?

300

A range of possible values of the population mean.

What is a confidence interval?

300

The number of possible comparisons in post-hoc testing after a significant F-statistic resulted in ANOVA.

What is [k(k-1)]/2, where k is the number of groups?

300

The hypothesis (and test) that states the observed distribution of the variable differs from the expected distribution.

What is the alternative hypothesis in a chi-square goodness of fit test?

300

The degrees of freedom for a chi-square test of independence.

What is (# of rows - 1) x (# of columns - 1)?

300

Hidden variables that cause strong correlations that are the result of spurious correlations (when 2 variables are correlated by chance, not due to an actual relationship). 

What are lurking or confounding variables?

400

The type of test used to determine if there is a difference in the mean value of blood pressure before taking a prescribed medication and the mean value of blood pressure after taking a prescribed medication.

What is the paired (or dependent) t - test?

400

A statistic expressing the amount of random sampling error in the results of a survey.

What is a margin of error?

400

The p value when it is determined there is a significant difference between at least 2 group means in an ANOVA.

What is p < 0.05?

400

The degrees of freedom in a chi-square goodness of fit test.

What is the number of categories - 1?

400

The hypothesis (and test) that states two variables are independent.

What is the null hypothesis of the chi-square test of independence?

400

A residual value.

What is the observed point - predicted point?

500

When an ANOVA produces a significant F - statistic, we use this test to investigate which pairs of groups have significantly different means.

What is post - hoc testing?

500

The test statistic for a one sample t - test.

What is (sample mean - claimed mean from H0) / (sample standard deviation / sq root of sample size)

500

Type of error when H0 is true but we rejected H0.

What is a Type I error?

500

The sum of (observed - expected counts)2 / expected counts.

What is the chi-square test statistic?

500

The expected counts for each cell in a table when performing a chi-square test of independence.

What is (row total x column total) / grand total?

500

The 6 assumptions for creating a linear regression.

What are random samples, independent observations, linear trend visible, no extreme outliers, y is normally distributed around x, same variance.

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