CHAPTER 8-STATISTICS

Question 1

The practice or science of collecting and analyzing numerical data in large quantities, especially for the purpose of inferring proportions in a whole from those in a representative sample

Answer 1

statistics

Question 2

Values that the variables can assume

Answer 2

Data

Question 3

Characteristics that is observable or measurable in every unit of universe

Answer 3

Variable

Question 4

The set of all possible values of a variable

Answer 4

Population

Question 5

A subgroup of a population

Answer 5

Sample

Question 6

Words or codes that represent a class or category
Express as a categorical attribute (gender, religion, marital status, highest educational attainment)

Answer 6

Qualitative Variables

Question 7

Number that represent an amount or a count.
Numerical data, sizes are meaningful and answer questions as “how many” or “how much”
Example are height, weight, household size, number of registered cars

Answer 7

Quantitative Variables

Question 8

What are the Classification of Quantitative Variables

Answer 8

Discrete and continuous

Question 9

Data that can be counted (number of days, number of siblings, usual number of text messages sent in day)

Answer 9

Discrete Variables

Question 10

It can assume all values between any two specific values like 0.5, 1.2 etc and data can be measured (weight, height, body temperature

Answer 10

Continuous Variables

Question 11

Data created by assigning observations into various independent categories and then counting the frequency of occurrence within each of the categories.

Answer 11

Nominal

Question 12

A scale in which scores indicate only relative amounts or rank order

Answer 12

Ordinal

Question 13

A scale in which equal differences in scores represent equal differences in amount of the property measured, but with an arbitrary zero point.

Answer 13

Interval

Question 14

All the properties of an interval scale with the additional property of zero indicating a total absence being measured.

Answer 14

Ratio Scale

Question 15

Also called spread or dispersion refers to how spread out a set of data is.

Answer 15

Variability

Question 16

The difference between the highest and lowest value in a set.

Answer 16

Range

Question 17

Quartiles segment any distribution that’s ordered from low to high into four equal parts.

Answer 17

Interquartile Range

Question 18

A measure of dispersion, meaning it is a measure of how far a set of numbers is spread out from their average value.

Answer 18

Variance

Question 19

A measure of the amount of variation or dispersion of a set of values.
It is the square root of the variance

Answer 19

Standard Deviation

Question 20

measure of the symmetry of a distribution. The highest point of a distribution is its mode. The mode marks the response value on the x-axis that occurs with the highest probability. A distribution is skewed if the tail on one side of the mode is fatter or longer than on the other: it is asymmetrical.

Answer 20

Skewness

Question 21

Statistical measure that defines how heavily the tails of a distribution differ from the tails of a normal distribution. In other words, it identifies whether the tails of a given distribution contain extreme values.

Answer 21

Kurtosis