Exam 8: Generalizing From Research Results: Inferential Statistics

Explain the difference between inferential and descriptive statistics.

What do correlation coefficients indicate?

A range of values calculated from a sample is called the ______.

With inferential statistics, we do not need large sample sizes as long as we are prepared to accept a known level of uncertainty in our projections from a sample.

Define Type I error.

ANOVA is a ______ statistic.

You are designing a survey with the objective of comparing how male and female students differ in their use of social media. Outline the measures you would use and explain the statistics you would report for each measure in your final report.

The properties of a normal curve are such that ______ of the values under it occur plus or minus 2 standard deviations from the mean.

For a t test comparing two groups that consist of different individuals, we use the t test for ______ samples.

What does the t test compare?

A data plot showing a negative skew has ______.

Explain the purpose of the t test and the chi-square test and the difference between them.

The formula for standard deviation for a set of scores includes ______.

What does one-way ANOVA compare?

What does the t test compare?

A curve that is steep or high relative to the normal curve is described as ______.

Inferential statistics are based on the assumption that the sampled population has normally distributed characteristics.

Interpreting a t value requires that we also compute a number known as the degrees of ______.

This range of possible values calculated for a particular level of confidence is called the confidence interval.

The probability of sampling any value under the normal curve is ______.