Measurements / Boxplots / Frequency - Week One

Question 1

Define measurement

Answer 1

Expressing an object or characteristic as a number (valid and reliable)

Question 2

Name and define the two types of statistics

Answer 2

DESCRIPTIVE = organising and summarising data
INFERENTIAL = using probability to determine how confident we can be that our conclusions are correct

Question 3

Define score and value

Answer 3

SCORE = Individual
VALUE= range

Question 4

Features of a ratio scale

Answer 4

• Continuous
• Can make comparisons
• Same / different
• Ranking / mean / percentage
  -Absolute zero

(Eg. Monthly income)

Question 5

Features of an equal interval scale

Answer 5

• Rating scale
• Difference between units on scale is the same
• Majority of psych data
  -Same/Difference , Mean , ranking

(Eg. 0-10)

Question 6

Features of an ordinal scale

Answer 6

• Ranking data
• Subjective
• Same/Different

(Eg. 1st/2nd/3rd place)

Question 7

Features of a nominal scale

Answer 7

• Number data
• Discrete categories
• Grouping
• Same/Different

(Eg. Bank number)

Question 8

Define valid percent on a frequency scale

Answer 8

What proportion of a sample has a particular score

Question 9

Define cumulative percent on a frequency table

Answer 9

• Proportion of sample that has this value or lower

Question 10

Features of bimodel modality

Answer 10

• Two peaks
• Two majorities

Question 11

Explain right skew, left skew, and symmetrical

Answer 11

• Right = tail to right, majority score low
• Left = tail to left , majority score high
• Symmetrical = majority score middle

Question 12

Define probability

Answer 12

The numerical expressions of an expectation that an event occurs

Question 13

Define random process

Answer 13

• A situation where we know what outcomes could happen but not which ones

(Eg. Rolling a dice we know 1-6 but not which number)

Question 14

Formula to work out probability

Answer 14

Successful Outcomes / All Outcomes