ADV Exam 3 Quiz Answers

_____ is a statistical technique that uses information about the relationship between an independent or predictor variable and a dependent variable to make predictions.

Bivariate regression analysis

Which of the following is true of the mode?

It is especially useful as a measure for data that have been somehow grouped into categories.

Which of the following is true of the median?

It is especially useful as a measure of central tendency for ordinal data.

Which of the following statements is true of the range?

It is the distance between the smallest and largest values in a set of responses.

Which of the following is an example of an independent sample?

Male students are compared to female students on the average number of hours they study each weekday

Which of the following statements is true about the t-test?

The t-test provides a mathematical way of determining if the difference between two sample means has occurred by chance

For interval or ratio data, the mean is appropriate, except when there are extreme values within the interval or ratio data, which are referred to as outliers. (True or False)

True

The strength of association between two variables is determined by the size of the correlation coefficient. (True/False)

True

In a certain town, when the number of automobiles owned went up, the number of service stations for automobiles also went up. This illustrates the concept of _____.

covariation

A _____ relationship is one between two variables whereby the strength and/or direction of the relationship changes over the range of both variables.

curvilinear

The Spearman rank order correlation coefficient differs from the Pearson correlation coefficient in that the Spearman rank order correlation:

is used when variables have been measured using ordinal scales, whereas the Pearson correlation coefficient is used when variables have been measured using ratio scales.

Which of the following statements is true of model F statistics?

A larger F statistic indicates that the regression model has more explained variance than error variance.

If a researcher is interested in measuring the effect of two independent variables on a dependent variable, he/she should use:

multiple regression analysis

A researcher is told that the average age of respondents in a survey is 49 years. She is interested in finding out if most respondents are close to 49 years old. The measure that would most accurately answer this question is:

standard deviation

Researchers use analysis of variance to determine the:

statistical difference between three or more means.

With regard to the least squares procedure, any data point that does not fall on the regression line is the result of:

unexplained variance