Flashcards in Inferential statistics Deck (23):

1

## What does the abbreviation P stand for

### Probability

2

## Inferential tests draw inferences from ?

### A research sample to the population

3

## Data that are measured using units of equal measurements are

### Interval data

4

## The test statistic calculated for Wilcoxon's test is

### T

5

## The abbreviations dF stands for

### Degrees of freedom

6

## Generally the abbreviations dF is equivalent to

### Number of participants in a study

7

## The significance level most commonly used in psychology is what percent

### 5%

8

## A type II error occurs when 17

### The alternate hypothesis is wrong

9

## A type I error is a

### False positive

10

## How else might you write a 5%

### 0.05

11

## Data that are in categories are called

### Nominal data

12

## Data from a rating scale are strictly speaking are

### Ordinal data

13

## A type II error is more likely to happen when the required significance level is

### Too high

14

## What would be the appropriate test to select interview conducted a study with ordinal data and requiring a correlational analysis

### Spearmen's rank order correlation test

15

## What would be the appropriate tested to select if you conducted an experiment with a repeated measures design and ordinal level data 19

### Wilcoxon T test

16

## what are inferential statistics based on?

### probability

17

## what is a chi squared test

### we use this test when we we have counted how many occurences there are in each category ...called frequency data. This test can be used to investigate a difference or an association

18

## what is the mann whitney U test

### this is a test of difference to be used when there are independent groups i.e. where a study involves two groups of participants and each group is given a different level of the independent variable

19

## the sign test

### this is another test of difference - this is used when analysing nominal data collected in a study with a repeated measures design

20

## What are nominal data

### Data in separate categories such as grouping people in your class according to their height. Within each category we have a count of how many people are items are in that category. This is frequency data

21

## What are ordinal data

### Data are ordered in some way for example each person in your class lines up in order of size the difference between each person is not the same. Data that are ranked are ordinal measurements the intervals between first second third example are equal but each rank represent items which are not equally separate

22

## What are interval and ratio data

### Data are measured using units of equal intervals such as measuring everyone's height in centimetres such units of measurement have equal intervals therefore the level of measurement is more precise. A ratio scale has a true zero whereas an interval scale does not. For example the Celsius temperature scale doesn't have a true zero

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