Chapter 2 Lesson 3

Statistics is a branch of __________________.

• mathematics

• biology

• history

• literature

__________________ arranges data to indicate how often something occurs.

• Frequency distribution

• Random sampling

• Data encryption

• Linear regression

A(n) __________________ is shaped like a bell, in which the results that occur most often are at a high point in the center and ones that occur least often taper off to low points at the ends.

• normal distribution

• uniform distribution

• exponential distribution

• binomial distribution

The __________________ of a typical deviation depends on how spread out the distribution is.

• standard deviation

• mean

• median

• mode

On a Pearson correlation coefficient (r) scale, an r near +1 or -1 indicates a(n) __________________ relationship and an r near 0 indicates a(n) __________________ relationship.

• strong, weak

• weak, strong

• moderate, weak

• strong, moderate

__________________ is how likely results are due to chance.

• Statistical significance

• Random variability

• Experimental error

• Measurement bias

If the likelihood that results are due to chance is very low, the results are considered __________________.

• statistically significant

• random

• insignificant

• unreliable

Many researches consider it unlikely the results of a test are due to chance if only __________________ percent occur by chance, while other researches use a stricter level of __________________ percent.

• 5 and 1

• 10 and 2

• 15 and 3

• 20 and 4

What is the difference between descriptive statistics and inferential statistics, and what types of things do they measure?

• Descriptive statistics summarize data, while inferential statistics make predictions based on data.

• Descriptive statistics make predictions based on data, while inferential statistics summarize data.

• Both descriptive and inferential statistics are used to make predictions.

• Neither descriptive nor inferential statistics summarize data.