Week One

Question 1

What can we do with statistics?

Answer 1

Describe, Decide (in uncertainty) and Predict

Question 2

Another name for Variable?

Answer 2

A Factor

Question 3

What is a variable?

Answer 3

A characteristic that is measured and it MUST vary (have at least 2 possible measures)

Question 4

Qualitative data is commonly collected during interviews and focus groups

Answer 4

True

Question 5

Descriptive representations of information (eg- barriers to exercise) are…

Answer 5

Qualitative Data

Question 6

Numerical representations of information (eg average uni GPA) are

Answer 6

Quantitative data

Question 7

What Data is commonly collected in observational and experimental studies?

Answer 7

Quantitative data

Question 8

3 types of data

Answer 8

Binary, Integers and Real Numbers

Question 9

Integers are whole (discrete) numbers with no decimal point

Answer 9

True

Question 10

Another name for Binary data

Answer 10

Dichotomous

Question 11

1 and 0 are commonly used to depict

Answer 11

Binary Data

Question 12

Binary Data have a decimal component.

Answer 12

False. They are Discrete numbers. Discrete numbers are also whole numbers but they represent distinct, separate values. They are countable and finite. For example, the number of students in a classroom

Question 13

A classic example of discrete numbers in data analysis is counting the number of students in a classroom. True or False

Answer 13

True. Each student represents a distinct, separate count, such as 1, 2, 3, and so on. These counts are whole numbers but are discrete because they represent individual, separate entities.

Question 14

Type of data that is continuous with a decimal component

Answer 14

Real Numbers (weight)

Question 15

What’s the difference between whole numbers and discrete numbers in data?

Answer 15

Whole numbers are like counting numbers, including zero and negative numbers. Discrete numbers are whole numbers, but they stand alone, like the number of students in a class. You can’t have half a student. That’s why it’s separate and counts as a discrete number.

Question 16

What must Vary (ie have at least two possible measures)

Answer 16

A Variable

Question 17

Type of data with a decimal component and continuous

Answer 17

Real Numbers

Question 18

Height data has been collected from preschool students, how the data differ is refered to as

Answer 18

Variance

Question 19

Before we develop a hypothesis we must:
A) Read previous literature
B) Ensure we have a large effect
C) Determine our conclusions
D) Set our p value

Answer 19

A) Read previous literature

Question 20

Samples in psychological research are typically
a) Unbiased
b) Biased
c) Population-representitive
d) Population Based

Answer 20

b) Biased

Question 21

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

Answer 21

a) employ an experimental design

Question 22

Qualitative designs use
a) Numbers
b) Numerical representations of information
c) Only cross sectional designs and not longitudinal
d) descriptive representations of information

Answer 22

d) descriptive representations of information

Question 23

Integer data are characterised by
a) Binary data
b) Whole Numbers
c) Numbers with decimals
d) Continuous data

Answer 23

b) Whole Numbers

Question 24

True or False. Real Numbers are continuous with a decimal component.

Answer 24

True.

Question 25

Name the four possible features of Variables

Answer 25

Identity, Magnitude, Equal intervals, Absolute Zero

Question 26

Nominal, Ordinal, Interval and Ratio scales all share what feature? a) Masking b) Identity c) Equal Intervals d) Magnitude

Answer 26

b) Identity

Question 27

Maximum daily tempurature and Kgs of Icecream sold over a week are continuous with a decimal point. What type of data is this?

Answer 27

Real Number Data

Question 28

3 different properties of quantitative research data.

Answer 28

Continuous, Integers, Real numbers