Chapter 9: Descriptive Statistics, Significance Levels, and Hypothesis Testing

Descriptive statistics convey:

Essential information about variables in a dataset.

Measures of central tendency are the range and standard deviation.

FALSE

The standard deviation is the representation of variability in the dataset.

TRUE

Type 1 error occurs when the null hypothesis is rejected even though it is true.

TRUE

Type II error occurs when the null hypothesis is retained even though it is false.

TRUE

The mean:

a) is the most commonly reported measure of central tendency. b) is the most sensitive to extremely high or low scores. c) depends upon each and every score. D) ALL OF THE ABOVE.

Significance level is:

a) the same as the probability level. b) reported as p or alpha level in written research reports. c) set by the researcher prior to computing the statistical test. D) ALL OF THE ABOVE.

A skewed curve is:

characterized by the data being bunched to one side or the other.

The normal curve:

is a theoretical distribution of scores.

A significance level is:

the level of error the researcher is willing to accept for each statistical test.