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Inferential Statistics

Total questions: 25

Worksheet time: 15mins

Name
Class
Date
1.

Data which can be ranked from smallest to largest

a)

Nominal

b)

Ordinal

c)

Interval

d)

Ratio

2.

Data which can be categorised by name

a)

Nominal

b)

Ordinal

c)

Interval

d)

Ratio

3.

Data which can be measured on a fixed scale with no absolute zero

a)

Nominal

b)

Ordinal

c)

Interval

d)

Ratio

4.

Data which can be measured on a fixed scale and does have an absolute zero

a)

Nominal

b)

Ordinal

c)

Interval

d)

Ratio

5.

A measure of central tendency

a)

Range

b)

Mode

c)

Standard deviation

d)

Mean

6.

The middle number, once data is made ordinal

a)

Mean

b)

Mode

c)

Median

d)

Range

7.

Between a Population and Sample: which size is bigger ?

a)

Population

b)

Sample

c)

Both can be the same

d)

Not enough information

8.

These are the two types of statistics:

a)

Discrete and Continuous

b)

Population and Sample

c)

Descriptive and Inferential

d)

Mean and Standard deviation

9.

Which of the following best describes a Type I error?

a)

The null is true, but we mistakenly reject it.

b)

The null is false and we reject it.

c)

The null is false, but we fail to reject it.

d)

The null is true but we fail to reject it.

e)

The null is true, and we fail to reject it.

10.

The null hypothesis is represented by:

a)

Ha

b)

Ho

c)

t*

d)

HP

e)

μ

11.

The null hypothesis always contains a(an):

a)

< or >

b)

=

c)

>

d)

= or >

e)

12.
What is the Power of a test?
a)
A strong force
b)
The probability that we correctly reject a false null.
c)
The probability that we correctly accept a true null.
d)
How tough it is.
13.

Which of the following best describes a type II error?

a)

The null is true, but we mistakenly reject it.

b)

The null is false and we reject it.

c)

The null is false, but we fail to reject it.

d)

The null is true but we fail to reject it.

e)

Te null is false, and we reject it.

14.
What does it mean when a test is statistically significant?
a)
it has reached alpha level status
b)
the test statistic had a P-value higher than the alpha level
c)
the test statistic had a P-value lower than the alpha level
d)
it is important in practical terms
15.
How can you reduce both Type I and Type II errors?
a)
it can't be reduced
b)
redo the tests
c)
increase the sample size
d)
tamper with the data
16.

When looking at statistical significance, social workers and socail scientists have settled on ________ to be the most common cutoff point to separate findings.

a)

5

b)

.05

c)

.5

17.

Josh did not describe whether his hypotheses will be positive or negative. This means his hypotheses is....

a)

wrong

b)

a nondirectional hypotheses

c)

non research related

18.

Barb has a directional hypothesis. How can she test for statistical significance?

a)

two-tailed test

b)

Barb needs a new plan.

c)

one-tailed test

19.

Skylar has a null hypothesis that is true, but she rejects it. This is which error type?

a)

Type I Error

b)

Type II Error

20.

What is another name for a type I error?

a)

false negative

b)

false positive

c)

true negative

d)

true positive

21.

Which of the following are necessary to compute for statistical power?

a)

effect size

b)

sample size

c)

p value

d)

alpha

22.

Which of the following is tested for significance?

a)

Null hypothesis

b)

Alternative hypothesis

c)

Alpha level

d)

Statistical power

23.

In which of the following cases should the null be rejected?

a)

The test statistic is higher than the critical value

b)

The P value is lower than .05

c)

The test statistic is lower than the critical value.

d)

The P value is higher than the alpha.

24.

What is the most conservative measure of effect size?

a)

Cohen's d

b)

Glass' delta

c)

eta squared

d)

partial eta squared

e)

omega squared

25.

Which of the following is NOT a measure used in inferential statistics?

a)

z score

b)

t test

c)

z test

d)

Student's test