Week 1 - Jan 13

Question 1

What is parameter?

Answer 1

A measure of population

Question 2

What is statistic?

Answer 2

A measure of a sample

Question 3

What is variable?

Answer 3

Items of interest you want to study.

Question 4

What is qualitative data?

Answer 4

You can count qualitative data, but other arithmetic is not meaningful. Ex. Eye colour, gender, or smell.

Question 5

What is quantitative data?

Answer 5

Usually numbers and are measured using arithmetic. Ex. Salary in dollars or height in inches.

Question 6

What is the difference between quantitative data that is discrete or continuous?

Answer 6

Discrete data can be counted in exacts, no decimal points. Ex. Number of tires on a car, number of rooms in a house.
Continuous data has infinite possible decimal points. Ex. Possible heights 6.1 or 6.12 or 6.12857

Question 7

What are four levels of measurement?

Answer 7

Nominal - puts data in categories (ex. yes or no answer to a question)
Ordinal - provides an order of preference (ex. Rank these things from highest to lowest priority)
Interval - you know the best method and by how much (ex. How much did you like this course from 1 to 10)
Ratio - data defines a zero point unlike interval (ex. -5 to + 5)

Question 8

How to calculate class width?

Answer 8

Class width = (Maximum data value-Minimum value)/Number of Classes

Question 9

How to calculate relative frequency?

Answer 9

RF = frequency of class / total number of data items

Question 10

What is the difference between Cumulative Frequency and Cumulative Relative Frequency?

Answer 10

Cumulative Frequency adds up frequency counts cumulatively.
Cumulative Relative Frequency adds up relative frequency counts cumulatively.