[📊] Statistics 101

Question 1

Advantages of mean

Answer 1

Includes all data values in the calculation

Question 2

Disadvantages of mean

Answer 2

It is affected by outliers

Question 3

Advantages of median

Answer 3

Isn’t affected by outliers

Question 4

Disadvantages of median

Answer 4

Does not include all data values

Question 5

Advantages of mode

Answer 5

Isn’t affected by outliers,
Can be used for qualitative data

Question 6

Disadvantages of mode

Answer 6

Inappropriate for small data sets
Useless for data values that are all different

Question 7

Advantages of range

Answer 7

gives an indication of how varied data values are

Question 8

Disadvantages of range

Answer 8

Is affected by outliers

Question 9

General

Standard deviation

σ

Answer 9

σ = √[∑(x - x̄)² ÷ n]

Question 10

General

variance

σ²

Answer 10

σ² = [∑(x - x̄)² ÷ n]

Question 11

Frequency tables

standard deviation

Answer 11

σ = √[(∑x²f ÷ ∑f) - x̄²]

Question 12

Frequency tables

variance

Answer 12

σ² = (∑x²f ÷ ∑f) - x̄²

Question 13

Coded data

mean

Answer 13

x̄ = a + đ

mean = assumed mean + variation from the assumed mean

Question 14

Define

Discrete data

Statistics 101

Answer 14

quantitative data that needs to be counted

Question 15

What is

Continuous data

Statistics 101

Answer 15

quantitative data that needs to be measured

Question 16

What are the range and interquartile range?

Answer 16

The range and interquartile range are both measures of spread.
Measure of spread - gives information about how spread out the data set is

Question 17

When can you use a frequency table for ungrouped data?

Answer 17

Ungrouped frequency tables are normally used for numerical, discrete data
* it gives a clear pattern of the data
* keeps all of the original data values