Week 1 - What is data, and why is it important?

Question 1

What can’t we do with statistics?
a. Describe
b. Predict
c. Decide
d. Neutrality

Answer 1

d. Neutrality

Question 2

Height data has been collected from preschool students, how the data differ is refers to as…
a. Unknown error
b. Inferential information
c. Variance
d. Empirical factors

Answer 2

c. Variance

Question 3

Before we develop a hypothesis, we must…
a. Determine our conclusions.
b. Set our p value.
c. Read previous literature.
d. Ensure we have a large effect.

Answer 3

c. Read previous literature

Question 4

Samples in psychological research are typically…
a. Biased
b. Population-based
c. Unbiased
d. Population-representative

Answer 4

a. Biased

Question 5

We may be able to infer causality if…
a. We employ a longitudinal design.
b. We use an observational design.
c. We set a conservative alpha value.
d. We employ an experimental design.

Answer 5

d. We employ an experimental design

Question 6

Qualitative designs use…
a. Descriptive representations of information
b. Numbers
c. Only cross-sectional designs (not longitudinal)
d. Numerical representations of information

Answer 6

a. Descriptive representations of information

Question 7

Integer data are characterised by…
a. Whole numbers
b. Numbers with decimals
c. Continuous data
d. Binary data

Answer 7

a. Whole numbers

Question 8

A variable is also known as a…
a. Constant
b. Factor
c. Binary piece of information
d. Choice

Answer 8

b. Factor

Question 9

There are four possible features of variables. They are…
a. Identity, magnitude, equal intervals, absolute zero.
b. Masking, magnitude, equal intervals, changeable zero.
c. Identity, magnitude, equal intervals, changeable zero.
d. Masking, magnitude, equal intervals, absolute zero.

Answer 9

a. Identity, magnitude, equal intervals, absolute zero.

Question 10

Nominal, ordinal, interval and ratio scales all share what feature?
a. Equal intervals
b. Masking
c. Magnitude
d. Identity

Answer 10

d. Identity

Question 11

Which of the following questions would produce Binary Data?
a. How many days until your birthday?
b. How much flour do I add to the cake?
c. Are you hungry?
d. How many eggs do I add to the cake?

Answer 11

c. Are you hungry?

Question 12

Which scale: each value can be ordered in terms of their magnitude, differences between values are not necessarily equal in magnitude
a. Nominal
b. Ordinal
c. Interval
d. Ratio

Answer 12

b. Ordinal

Question 13

Nominal, ordinal, interval and ratio scales all share what feature?
a. Magnitude
b. Identity
c. Size
d. Validity

Answer 13

b. Identity

Question 14

What is reliability?
a. The consistency of our measurements
b. Each value of the variable represents something different
c. The degree to which we are measuring the construct that we think we are measuring
d. Each value of the variables have a unique meaning

Answer 14

a. The consistency of our measurements