Exam 8: Generalizing From Research Results: Inferential Statistics

A newspaper reports from a survey that college students study on average 7 hours a week for their classes. Identify the statistics and any other information you would want to know from this survey before making generalizations about the student population at large, and explain why.

Correlation is a measure of the strength of the relationship between two variables.

The two tests most commonly used to see if two groups differ in some way are ______.

Linear regression assumes a relationship between variables that is best captured by ______.

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

Identify two assumptions on which inferential statistics are based.

Explain how inferential statistics differ from descriptive statistics in the insights they can provide researchers.

The probability of sampling any value under the normal curve that is less than the mean is ______.

A significant correlation between two variables means that there is a causal relationship between them.

Inferential statistics let us calculate a level of certainty when we project results from a sample to a wider population.

A bi-modal profile means that a distribution of data plots out showing ______ peak(s).

Nonparametric statistics should be used when we ______.

Inferential statistics are based on the assumption that the sample studied is randomly selected.

Inferential statistics are based on the assumption(s) EXCEPT ______.

For a sampling distribution (the distribution of sample results), the standard deviation is called the standard error.

The z distribution allows us to calculate ______.

Correlation shows the shape of the relationship between two variables.

A curve that is flat relative to the normal curve is described as ______.

Explain the concept of statistical significance.

The t test is used to assess whether groups differ on which of the following types of variable?