wayground logo

Free Printable Worksheets

Font size

S
M
L
XL
Worksheets

YR 2 Week 6_TEST 2 Choosing a Stats test

Total questions: 27

Worksheet time: 15mins

Name
Class
Date
1.

What assumptions about the data need to be met to use a parametric test?

a)
Homogeneity of means
b)

Homogeneity of variance & normally distributed data

c)

Homogeneity of distributions

d)
Nominal scale measurement
2.

When would a non-parametric test be used?

a)
When the data is normally distributed.
b)
When the sample size is large enough for parametric tests.
c)
When the data does not meet parametric test assumptions.
d)

When the data is nominal or ordinal

3.

The psychologist found the results were significant at p 0.05 - is the null hypothesis rejected or accepted?

a)
Not enough data
b)
Inconclusive
c)
Accepted
d)
Rejected
4.

When choosing a stats test, it depends on what design is used. What is a research design?

a)

Whether the hypothesis is 1.tailed or 2.tailed.

b)
A research design is a summary of previous studies.
c)

A research design is whether the study is an experiment or a correlation

d)

A research design is whether the study used related data or unrelated data

5.

Why is an independent measures design referred to as ‘unrelated’ data?

a)
The data from each group is dependent on the other group.
b)

Different participants are used in each group, making the data from each group independent of one another.

c)
An independent measures design uses the same participants in each group.
d)
Independent measures designs are only used in qualitative research.
6.

Which Level of data would be used when investigating how long people take to get to college in minutes?

a)
Interval data
b)
Nominal data
c)
Ordinal data
d)
Categorical data
7.

Which level of data would be used for testing how attractive Harry is on a scale of 1-10?

a)
Interval data
b)
Ordinal data
c)
Nominal data
d)
Ratio data
8.

Which level of data would be used when investigating which mode of transport people use to get to college?

a)

Interval data (intervals are known)

b)

Nominal ( data in intervals )

c)

Nominal (categorical data)

d)

Ordinal data (intervals are unknown)

9.

When choosing a stats test, it depends on the nature of the study. Which methodology looks to see if the IV effects the DV?

a)

Experiments

b)
Correlation study
c)
Qualitative analysis
d)
Descriptive statistics
10.

When choosing a stats test, it depends on the nature of the study. Which methodology takes two data points from each participant?

a)

Experiments: Looking at a difference

b)
Independent sample design
c)

Correlation: Looking at the relationship between two variables

d)
Cross-sectional design
11.

What type of study investigates a ‘relationship’ between two co-variables?

a)
Experimental study
b)
Descriptive study
c)
Case-control study
d)
Correlational study
12.

When using ‘Scoffing Cheesy Chips Will Make Someone Rather Understandably Porky’ how does the top of the table appear?​ ​ ​ ​ (a)  

Choose from the below words
Repeated measure > Independent measures> Repeated
Independent measures>repeated>repeated
13.

When reading a critical value table, a psychologist needs to read the table across the top of the table and down the left column - to find the critical value, what 3 questions/bits of information need to be known?

a)

Significance level, design, and whether an experiment or correlation.

b)
Confidence interval, effect size, and hypothesis type
c)
Research design, participant demographics, and data collection method
d)

Significance level, degrees of freedom (N), and hypothesis type (one-tailed or two-tailed).

14.

What does N refer to?

a)

N typically refers to the number of participants used

b)

N is the Null hypothesis.

c)

N represents the number of errors

d)

N is the level of sigNificance used

15.

What is the critical value for a 1. tailed hypothesis, for a 0.5 level of significance when N = 8?

a)

1

b)

0

c)

Both

16.

When choosing a parametric test (interval level data), the data has to achieve homogeneity of variance. What does this mean?

a)
Homogeneity of variance refers to the assumption that data must be normally distributed.
b)
Homogeneity of variance means that all samples must be of equal size.
c)
Homogeneity of variance refers to the assumption that different samples have the same variance.
d)
Homogeneity of variance indicates that the means of different samples are identical.
17.

What is meant by a False Positive?

a)
A False Positive is a situation where a test fails to detect a condition that is actually present.
b)

When you can't make a positive conclusion from the data because of a limited sample

c)

When you incorrectly claim support for the Null (Ho) hypothesis when the H1 should have been accepted.

d)

When you incorrectly claim support for the experimental hypothesis when the Null should have been accepted.

18.

What is a Type 1 error, when does it occur & why does it happen?

a)

A Type 1 error is the incorrect rejection of a true null hypothesis & it happens when the Level of Significance is too strict

b)

A Type 1 error is the incorrect rejection of a true experimental hypothesis & it happens when the Level of Significance is too strict

c)

A Type 1 error is the incorrect rejection of a true null hypothesis & it happens when the Level of Significance is too lenient.

d)
A Type 1 error is the acceptance of a false null hypothesis.
19.

What is the probability of making a type l error at p ≤ 0.1?

a)
0.05
b)
0.3
c)
0.2
d)
0.1
20.

What is meant by a False Negative?

a)

A False Negative is when a test incorrectly claims support for the Null hypothesis when there was a real difference/correlation

b)
A False Negative is when a test fails to provide any result at all.
c)
A False Negative is when a test shows a positive result for a condition that is not there.
d)
A False Negative is when a test correctly indicates that a condition is present.
21.

What is a Type 11 error, when does it occur & why does it happen?

a)
A Type 11 error occurs when a hypothesis is proven true incorrectly.
b)
A Type 11 error is the correct rejection of a true null hypothesis.
c)

A Type 11 error is the incorrect acceptance of a true null hypothesis & it can occur when the level of significance used is too strict

d)
A Type 11 error is the failure to reject a false null hypothesis.
22.

How can you reduce the risk of having a type l or type II error?

a)
Increase the significance level and decrease sample size.
b)
Use a higher confidence interval and reduce the sample size.
c)
Ignore the sample size and focus on the significance level.
d)
Use a lower significance level and increase sample size.
23.

Distinguish between a Type I error and a Type II error.

a)
Type I error: true negative; Type II error: true positive.
b)
Type I error: missed detection; Type II error: confirmed detection.
c)
Type I error: correct rejection; Type II error: incorrect acceptance.
d)
Type I error: false positive; Type II error: false negative.
24.

Why is P<0.05 the accepted level of significance in psychology?

a)
P<0.05 means the results are always true.
b)

P<0.05 is the commonly accepted level used by psychologists as it reduces risk of type 1 & type 2 errors

c)
P<0.05 indicates a perfect correlation between variables.
d)
P<0.05 is the only level of significance used in all research.
25.

Which level of data would be used when categorizing students by their favorite subject?

a)

Interval data

b)

Nominal data

c)

Ordinal data

d)

Ratio data

26.

What is the probability of making a type II error at p ≤ 0.05?

a)

0.05

b)

0.1

c)

0.2

d)

0.95

27.

Which level of data would be used when measuring the temperature in degrees Celsius?

a)

Interval data

b)

Nominal data

c)

Ordinal data

d)

Categorical data