Week 1- Intro

Question 1

2 types of stats

Answer 1

Descriptive or inferential

Question 2

Descriptive

Answer 2

Organise and summarise date

Question 3

Inferential statistics

Answer 3

Estimates population on basis of sample.

Question 4

4 data

Answer 4

Nominal
Ordinal
Interval
Ratio

Question 5

Nominal

Answer 5

No order, just label/names e.g hair colour, gender.

MUTUALLY EXCLUSIVE AND EXHAUSTIVE

Question 6

Ordinal data

Answer 6

Ranking e.g university league ranking.
Differences between data values are meaningless.

Question 7

Interval data

Answer 7

Distance between values is equal in measurement. Zero is a point on the scale, not an absence.

E.g degrees Celsius, shoe size.
Difference in value between size 5.5 and 6 and 6 and 6.5 is equal

Question 8

Ratio data

Answer 8

Data recorded at ratio. Zero is an absence

E.g weight, age, income, profit

Question 9

How to decide number of classes (K)

Answer 9

2 to the k rule
2 to the k >N

N is number of observations

Question 10

Class interval

Answer 10

Range/k

K is classes (worked out by previous slide by 2 to the K rule)

Question 11

Relative frequency

Answer 11

Frequency in each class/Total observations

Question 12

What data is shown on a bar chart

Answer 12

Qualitative
The variable on the horizontal axis, the height of the bar represents the frequency of each variable

Question 13

What data is used in pie charts

Answer 13

Qualitative

Question 14

What graphic representations of quantitative data

Answer 14

Histogram
Frequency polygon
Cumulative frequency distribution

Question 15

Interval formula

Answer 15

H-L/k

Question 16

LIMIT FORMULA

Answer 16

Limit+ (k x i) >H