Chapter 11 Quiz

These questions test your knowledge of the content of Chapter 11.

Means, medians, and standard deviations are examples of inferential statistics.

True False

The p value describes the likelihood of finding an effect as large as, or larger than, what was observed assuming that...

... the hypothesis is true.

... the hypothesis is false.

... the null hypothesis is true.

... the null hypothesis is false.

The probability of a Type I error is represented by the __________ value.

Most research in the social sciences uses a threshold of p < .05 to determine statistical significance.

True False

The statistical power of a test can be increased by using a Bonferroni correction.

True False

A __________ analysis can be used to determine how large a sample would be required to identify a significant effect with a known effect size.

Which value is not a component of a power analysis?

Sample size

Standard error

Test power

alpha value

Effect size

The parametric assumption of homogeneity of ___________ assumes a similar distribution of data in each sample being compared.

A distribution of data that is taller and narrower than a normal distribution is known as what?

Leptokurtic

Platykurtic

Positively skewed

Negatively skewed

Which data transformation are you carrying out when you divide 1 by each value?

Log transformation

Reciprocal transformation

Reverse score transformation

Divisive transformation