M2

Question 1

all items or individuals of interest.

Answer 1

population

Question 2

A finite subset of statistical individuals obtained from the population.

Answer 2

sample

Question 3

select a portion from the population

Answer 3

sampling

Question 4

1. Complete enumerations are not possible when the population is infinite.
2. Results are needed in a short amount of time.
3. The survey area is wide.
4. Limited resources
5. An item or unit is destroyed during an investigation.

Answer 4

Reason for selecting a sample

Question 5

1. Define Target Population
2. Select sampling frame.
3. Define if probability or non-probability.
4. Procedure for selecting sampling.
5. Determine sample size.
6. Selection of actual sample
7. Fieldwork

Answer 5

Stages in Sampling Collection

Question 6

• Simple Random
• Systematic
• Stratified Random
• Cluster

Answer 6

Probability of Sampling Techniques

Question 7

TRUE OR FALSE: All types of Probability Sampling Techniques can
be multi-Stage

Answer 7

true

Question 8

• Quota
• Snowball
• Self-Selection
• Convenience
• Purposive

Answer 8

Non-Probability Sampling Technique

Question 9

• Extreme Case
• Heterogenous
• Homogenous
• Critical Case
• Typical Case

Answer 9

Types of Purposive Sampling

Question 10

The researcher chooses a sample that is readily available in some nonrandom way.

Answer 10

Non Prob - Convenience sampling

Question 11

The respondent decides whether or not to participate, typically in one request without the chance for follow up.

Answer 11

Non prob - Self selection sampling

Question 12

It asks respondents to recommend other respondents who might subsequently be invited to take the survey.

Answer 12

non prob - snowball sampling

Question 13

The interview or study designer chooses sampled units who, by their judgment, will meet the specific purpose of the survey.

Answer 13

non prob - Purposive Sampling

Question 14

representative of views on an issue but “to look at it from all angles”

Answer 14

Maximum Variance Sampling
(Heterogeneous Sampling)

Question 15

deeply explore the views of a group of respondents with the same characteristics.

Answer 15

Homogenous Sampling

Question 16

is interested in an in-depth assessment of the typical viewpoint

Answer 16

Typical Case Sampling

Question 17

interested in understanding unusual cases such as successes or failures

Answer 17

Extreme Case Sampling

Question 18

Studying those cases that have the most to offer in terms of understanding the population.

Answer 18

Critical Case Sampling

Question 19

Surveying experts on a particular topic, with their expertise left to the judgment of the interviewer or study designer.

Answer 19

Expert Sampling

Question 20

Surveying every single member of a qualifying subgroup

Answer 20

Total Population Sampling

Question 21

the population of interest is represented almost exactly by the percentage of each cell (major demographic group) in the final survey results. “Strata may be joint or interlocking” – so you might have quotas of younger women, older women, younger men, and older men. Sometimes known as “hard quotas”.

Answer 21

Proportional Quota Sampling

Question 22

Also known as “soft quotas”, it captures a minimum number of respondents in a specific group.

Answer 22

Non-Proportional Quota Sampling

Question 23

It should have both coverage or a non zero chance of selecting any member of target population and external selection which is the random selection of members of population to participate in the survey

Answer 23

Probability Sampling

Question 24

• it refers to any sampling method that has the following properties.
  o The population consists of N objects.
  o The sample consists of n objects.
  o If all possible samples of n objects are equally likely to occur

Answer 24

Simple Random Sampling

Question 25

Each of the N population members is assigned a unique number. The numbers are placed in a bowl and thoroughly mixed. Then, a blind-folded researcher selects n numbers. Population members having the selected numbers are included in the sample.

Answer 25

Lottery method

Question 26

The population is divided into groups, based on some characteristic. Then, within each group, a probability sample (often a simple random sample) is selected.

Answer 26

stratified sampling

Question 27

In stratified sampling, the groups are called?

Answer 27

strata

Question 28

Every member of the population is assigned to only one group. A sample of clusters is chosen, using a probability method (often simple random sampling)

Answer 28

Cluster Sampling

Question 29

A list of every member of the population. From the list, we randomly select the first sample element from the first k elements on the population list. Thereafter, we select every kth element on the list

Answer 29

Systematic Random Sampling

Question 30

Combination of two probability sampling.

Answer 30

Multistage sampling

Question 31

True or false: There is no standard rule regarding the sample size. However, the higher the percentage of the sample, the higher the validity of the study or thesis. The bigger the population, the lesser percentage of the sample is taken.

Answer 31

True

Question 32

True or false: Researchers can use the Sloven's Formula to calculate for the number of samples to use for a study.

Answer 32

true

Question 33

True or false: "Sloven's Formula" was formulated by Slovin in 1961. Hence, some literature refer to it as "Slovin's Formula".

Answer 33

false. Sloven's Formula" was formulated by Slovin in 1960

Question 34

The HIGHER the percentage of sample, the HIGHER the validity of the research

Answer 34

General Rule on Sample Size

Question 35

n = [N/(1 + N(e)^2)]

Answer 35

Slovin's formula

Question 36

It is another term for accuracy

Answer 36

Confidence level

Question 37

- Have not been summarized in any way. - Also called "raw data"

Answer 37

Ungrouped Data

Question 38

- Data that has been organized into a frequency distribution table.

Answer 38

Grouped data

Question 39

often called the average of a numerical set of data, is simply the sum of the data values divided by the number of values

Answer 39

Mean

Question 40

symbol for mean

Answer 40

x bar or x̄

Question 41

sum of the values over the number of values

Answer 41

mean

Question 42

the number that falls in the middle position once the data has been organized from lowest to highest value.

Answer 42

Median

Question 43

Symbol for medial

Answer 43

Md

Question 44

(n+1) / 2

Answer 44

median

Question 45

- a set of data is simply the value that appears most frequently in the set. - The symbol is Mo.

Answer 45

Mode

Question 46

Only one mode

Answer 46

Unimodal

Question 47

two modes

Answer 47

bimodal

Question 48

three modes

Answer 48

trimodal

Question 49

four or more modes

Answer 49

multimodal

Question 50

easy to compute and provides statisticians and the mathematician with a better understanding of the data set how varied it is. It is the simplest approach to calculate variance in statistics.

Answer 50

range

Question 51

Highest value minus lowest value

Answer 51

range

Question 52

- It looks at how spread out a group of numbers is from the mean. - It is only used to measure spread or dispersion around the mean of a data set. - It is never negative. - If all values of a data set are the same, the standard deviation is zero (because each value is equal to the mean).

Answer 52

Standard Deviation

Question 53

- is the ratio of the standard deviation to the mean. - The higher it is, the greater the level of dispersion around the mean. It is generally expressed as a percentage.

Answer 53

Coefficient of Variation