MIDTERM

Question 1

produced by counting and assumes whole numbers only

Answer 1

Discrete Random Variables

Question 2

results of measuring and may take on any numbers containing within the numerical intervals

Answer 2

Continuous Random Variables

Question 3

is the central value or average of its corresponding probability mass function — also called as “expected value”

Answer 3

Mean

Question 4

measures how far each number in the set is from the mean (average)

Answer 4

Variance

Question 5

measures the dispersion of a dataset relative to its mean — Below SD & Above SD

Answer 5

Standard Deviation

Question 6

is a bell shaped curve and also known as Gaussian distribution.

Answer 6

Normal distribution

Question 7

also referred to as the three-sigma rule or 68.3–95.4–99.7 rule,

Answer 7

Empirical Rule

Question 8

the table of areas under the curve

Answer 8

z-table

Question 9

all the members of the group you are interested in.

Answer 9

population

Question 10

all the members of the group you are interested in

Answer 10

sample

Question 11

is a process used in statistical analysis in which a predetermined number of observations are taken from a larger population.

Answer 11

sampling

Question 12

Each element of the population has an equal
chance of being selected.

Answer 12

Simple Random Sampling

Question 13

Every member is assigned a unique number. T

Answer 13

Lottery Method

Question 14

This table consists of a series of digits (0-9) that are generated randomly.

Answer 14

Use of Table of Random Numbers

Question 15

This is equally precise as the simple random
sampling.

Answer 15

systematic random sampling

Question 16

This can be done by first dividing the elements in the population into strata and then samples

Answer 16

stratified random sampling

Question 17

A multistage sampling method adopted when it is either impossible or impractical to compile an exhaustive list of elements found in the target population.

Answer 17

clustered sampling

Question 18

a sampling technique that is done using the combination of different sampling techniques.

Answer 18

multi stage sampling

Question 19

The selection of samples based on accessibility to the researcher.

Answer 19

convenience sampling

Question 20

The selection of samples based on criteria set by the researcher.

Answer 20

purposive sampling

Question 21

The selection of samples based on a fixed number or quota set of the study.

Answer 21

quota sampling

Question 22

The selection of samples through referrals made by people who possess characteristics that are of interest to the researcher.

Answer 22

snowball (referral)

Question 23

is a measure that describes a population. Parameter includes population mean μ, population variance σ², and population standard deviation σ.

Answer 23

parameter

Question 24

is a measure that describes a sample. Statistics include sample mean x, sample variance s² and sample standard deviations

Answer 24

statistic