Lesson 4: Random Sampling and Sampling Distributions

Question 1

It is a portion of a population.

Answer 1

Sample

Question 2

It is used to represent the population in a study.

Answer 2

Sample

Question 3

It is the process of getting samples from the population.

Answer 3

Sampling

Question 4

It is a numerical measure that describes a population.

Answer 4

Parameter

Question 5

It is a measure that describes a sample.

Answer 5

Statistic

Question 6

It must not be biased.

Answer 6

Sampling

Question 7

It means all members have an equal chance in being selected.

Answer 7

Sampling

Question 8

2 types of sampling

Answer 8

• Random Sampling
• Non random Sampling

Question 9

It is a type of sampling that is also called probability sampling.

Answer 9

Random Sampling

Question 10

It is a type of sampling where each member has a non-zero probability or each member has an equal chance of being selected.

Answer 10

Random Sampling

Question 11

It is a type of sampling that is also called non-probability random sampling.

Answer 11

Non random Sampling

Question 12

It is a type of sampling where not all individuals have to be selected in the sample.

Answer 12

Non random Sampling

Question 13

The 4 random sampling techniques

Answer 13

1. Simple Random Sampling
2. Stratification/Stratified Random Sampling
3. Systematic Sampling
4. Cluster Sampling

Question 14

It is a random sampling technique that is chosen randomly, providing equal chances for all members

Answer 14

Simple Random Sampling

Question 15

2 ways of simple random sampling

Answer 15

• Table of random numbers
• Lottery Method

Question 16

It is a way of simple random sampling containing rows and columns of mechanically generated digits.

Answer 16

Table of random numbers

Question 17

It is a way of simple random sampling where each element of the population is assigned to a unique member.

Answer 17

Lottery method

Question 18

2 types of simple random sampling

Answer 18

• Simple Random Sampling Without Replacement (SRSWOR)
• Simple Random Sampling With Replacement

Question 19

It is a type of simple random sampling where the selection of elements depends entirely on chance.

Answer 19

Simple Random Sampling Without Replacement (SRSWOR)

Question 20

It is a type of simple random sampling that gives an element of the population to be selected more than once as a part of the sample.

Answer 20

Simple Random Sampling With Replacement

Question 21

It is the formula of simple random sampling.

Answer 21

n=Ν/(1+Νe^2)

Question 22

It is a random sampling technique dividing the sample into subgroups before drawing random samples.

Answer 22

Stratification/Stratified Random Sampling

Question 23

It is a random sampling technique that has strata.

Answer 23

Stratification/Stratified Random Sampling

Question 24

It is what stratification is also called.

Answer 24

Stratify

Question 25

It is the formula of stratification.

Answer 25

(# of each strata)/(population size)(sample size)

Question 26

It is a random sampling technique selecting one member for every kth of the population.

Answer 26

Systematic Sampling

Question 27

It is a random sampling technique where the starting point may be chosen randomly.

Answer 27

Systematic Sampling

Question 28

It is the meaning of e.

Answer 28

margin of error

Question 29

It is the meaning of N.

Answer 29

population size

Question 30

It is the meaning of n.

Answer 30

desired sample size

Question 31

It is the meaning of k.

Answer 31

sampling interval

Question 32

It is a random sampling technique also called area sampling.

Answer 32

Cluster Sampling

Question 33

It is a random sampling technique where the population is divided into clusters.

Answer 33

Cluster Sampling

Question 34

It divides a large population into smaller groups (clusters) and then select some clusters to study.

Answer 34

Multi-Stage Cluster Sampling

Question 35

The sample consists of all the elements from all the strata.

Answer 35

Stratified

Question 36

It is a random sampling technique where the sample consists of elements from the selected clusters only.

Answer 36

Cluster Sampling

Question 37

It is the probability distribution that describes the probability for each mean of all samples with the sample size n.

Answer 37

Sample Distribution

Question 38

It is the probability distribution of the samples drawn from the population obtained from a random experiment.

Answer 38

Sample Distribution