Distributions
Z-scores & Dist
Z-Scores & Dist
t,f,effectsizes
DecisionErrors,Power
100

A distribution where scores pile-up at the high end is:

Negatively skewed

100

Adding, subtracting, multiplying, dividing by constant is what type of transformation?

A linear transformation

100

Another name for a Z-score is?

A standard score

100

A ___ test is used with two groups; ______ used with three or more.

t-test; ANOVA/F

100

This type of error occurs when a researcher misses a true effect

Type II

100

In a normal distribution, what % of scores lie between -1 and +1 SDs?

34 + 34 = 68

100

As N increases, the standard error?

Decreases

100

In hypothesis testing, where do we typically “draw the line” for statistical significance?

.05

100

d-family measures of effect size assess

Differences between means (SD units)

100

We generally like power to be?

.80

100

Which measure of central tendency is best when data are skewed?

Median

100

A distribution is negatively skewed. Transforming each raw score to a Z-score will normalize the distribution. T or F?

False (a linear transformation)

100

The M of a set of scores is 3.29. If 3.29 is subtracted from every raw score in the set, the new mean will be?

0 (subtracting a constant from every score decreases mean by same amount)

100

The F-ratio is a ratio of which two types of variability?

Between / Within

100

This type of error occurs when a researcher incorrectly claims a treatment works

Type I

100

What type of score identifies the location of raw score in a distribution?

Z-score

100

This theorem tells us what the characteristics of a sampling distribution will be

Central Limit Theorem

100

This is also called?

Centering

100

Which one of these is influenced by trxt effect

Between

100

This is the probability one will identify a true effect that actually exists

Power

100

In a normal curve, what % of scores lie below a Z-score of 1.64?

95% (draw it out)

100

The standard deviation of a sampling distribution is known as

The standard error

100

The t-test equation is a ratio of

Diff between two means divided by st. error

100

R-family measures of effect size assess

Proportion of variability

100

Power is usually estimated before a study is carried out to determine

N