# Chp 13

### 40 terms by mbann

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Final exam

### __________ are used to infer that the results from a sample are reflective of the true population scores.

Inferential statistics

Null hypothesis

Systematic

### Cohen's d expresses effect size in terms of _________.

Standard deviation units

### A Type I error occurs when the null hypothesis is _________.

Rejected but the null hypothesis is actually true

### Which of the following statements is TRUE?

True differences are more likely to be detected if the sample size is large.

Type II

.01

### Which of the following is NOT a reason for a Type II error?

Large sample size

48

### How is the power of a statistical test related to the probability of a Type II error?

Power = 1- Type II error

XSPS

False

True

True

True

False

False

True

True

False

False

Chi-square test

### Participants were recruited to participate in a memory study. Participants were randomly assigned to the learn a list of words printed on either white paper with red ink or white paper with black ink. The number of words correctly recalled was recorded.

Between-subjects t-test

### Researchers examined the influence of different types of rewards on creative expression. Children were given an art kit and asked to create a collage. Students were randomly assigned to one of three experimental conditions: monetary reward, toy reward, or control. Each collage was given points for use of color, originality, structure, and design. The total number of points was recorded.

One-way Between-Subjects Analysis of Variance

### A study is done to determine whether dieting plus exercise is more effective for producing weight loss than dieting alone. Participants were matched on initial weight, initial level of exercise, age, and gender. One member of each pair was put on the diet for 2 months. The other member had the same diet but exercised moderately each week. The weight loss in pounds for the 2-month period was recorded.

Repeated Measures (correlated) t-test

### Suppose a researcher studied men's shoe size and the mode of delivery of their first child. The researcher collected and classified shoe size data on 600 first-time fathers into three groups: large (size 10 and above), average (size 8 and 9), and small (size 7 and smaller).

Kruskal-Wallace H test

### Suppose researchers conducted a study and ranked salespeople according to the number of automobiles they sold the past six months. The rankings of the top 20 salespeople were separated into two groups--those who valued time management and those who did not value time management.

Mann-Whitney U test

### Degrees of freedom

A concept used in tests of statistical significance; the number of observations that are free to vary to produce a known outcome.

### Error variance

Random variability in a set of scores that is not the result of the independent variable. Statistically, the variability of each score from its group mean.

### Inferential statistics

Statistics designed to determine whether results based on sample data are generalizable to a population.

### Null hypothesis

The hypothesis, used for statistical purposes, that the variables under investigation are not related in the population, that any observed effect based on sample results is due to random error.

### Power

The probability of correctly rejecting the null hypothesis.

### Probability

The likelihood that a given event (among a specific set of events) will occur.

### Research hypothesis

The hypothesis that the variables under investigation are related in the population—that the observed effect based on sample data is true in the population.

### Statistical significance

Rejection of the null hypothesis when an outcome has a low probability of occurrence (usually .05 or less) if, in fact, the null hypothesis is correct.

### Systematic variance

Variability in a set of scores that is the result of the independent variable; statistically, the variability of each group mean from the grand mean of all subjects.

### t-test

A statistical significance test used to compare differences between means.

### Type I error

An incorrect decision to reject the null hypothesis when it is true.

### Type II error

An incorrect decision to reject the null hypothesis when it is true.

Example: