Ch 1 - Part 2

Question 1

A way to describe and make inferences from data

Answer 1

Statistics

Question 2

methods for summarizing and organizing data (example measures of central tenancy and variability)

Answer 2

Descriptive statistics

Question 3

The most frequently occurring score(s) in a distribution

Answer 3

Mode

Question 4

The arithmetic average of a distribution obtained by adding the scores and then dividing by the number of scores

Answer 4

Mean

Question 5

The middle score in a distribution; half the scores are above it and half hour below it

Answer 5

Median

Question 6

The difference between the highest and lowest scorers in a distribution

Answer 6

Range

Question 7

A computed measure of how much scores vary around the mean score

Answer 7

Standard deviation

Question 8

A symmetrical bell shaped curve that describes a distribution of many types of data; most scores fall near the mean and fear and fear near the extremes

Answer 8

Normal curve

Question 9

A statement of how likely it is that a result occurred by chance assuming there is no difference between the populations being studied

Answer 9

Statistical significance

Question 10

using graphs and charts to represent data clearly

Answer 10

Data visualization

Question 11

The process of making decisions based on a data pattern

Answer 11

Drawing conclusions

Question 12

The consistency of a result, ensuring it can be generalized or used to protect future behaviour

Answer 12

Reliability

Question 13

ensuring the sample accurately represents the population often by using random assignment

Answer 13

Non-biased sampling

Question 14

Ensuring the data doesn’t vary too much allowing for clear patterns

Answer 14

Consistency

Question 15

A measure of how likely it is that a result occurred by chance if P < 0.05 the result is typically considered significant (less than 5% chance is random.)

Answer 15

Statistical significance P value