Lesson 2

Question 1

includes all members of a defined group studying for data-driven decisions

Answer 1

POPULATION

Question 2

complete enumeration of a population or groups at a point in time

Answer 2

CENSUS

Question 3

subset of population

Answer 3

SUBPOPULATION

Question 4

selected representative of larger population

Answer 4

subpopulation

Question 5

set of data collected from a population

Answer 5

sample

Question 6

the formula used for sample size determination..
provide the full formula

Answer 6

SLOVIN’S FORMULA
n=N/1+Ne^2

Question 7

in slovin’s formula, N stands for..

Answer 7

population size

Question 8

in slovin’s formula, e stands for..

Answer 8

margin in error

Question 9

it is the difference between the value from sample of population and the true value of population parameters

Answer 9

SAMPLING ERROR

Question 10

true or false. surveys become useless when sampling error is involved

Answer 10

FALSE

Question 11

the laws of probability make it possible for us to calculate intervals of the form

Answer 11

MARGIN OF ERROR

Question 12

what makes the margin of error to be possible to calculate intervals

Answer 12

LAW OF PROBABILITY

Question 13

intervals in margin of error is sometimes called

Answer 13

95% confidence intervals

Question 14

margin of error formula

Answer 14

Estimate +/- margin of error

Question 15

enumerate the stages in selecting a sample

Answer 15

1. define the target population
2. select a sampling frame
3. determine if probability/non-probability sampling method will be chosen
4. plan procedure for selecting sample units
5. determine the sample size
6. select actual sampling units
7. conduct fieldwork

Question 16

REASONS FOR SELECTING A SAMPLE: Complete enumeration are practically
impossible when the population is _

Answer 16

infinite

Question 17

enumerate the types of sampling

Answer 17

probability sampling
non-probability

Question 18

enumerate the types of probability sampling

Answer 18

simple random sampling
systematic sampling
stratified random sampling
cluster sampling

Question 19

The sample is a proportion (a certain percent)
of the population and such sample is selected
from the population by means of some
systematic way

Answer 19

probability sampling

Question 20

a feature of the selection
process rather than an assumption about the
structure of the population

Answer 20

Randomization

Question 21

• Every member of the population (N) has an
  equal chance of being selected for your sample

Answer 21

simple random sampling

Question 22

• This is arguably the best sampling method, as
  your sample is almost guaranteed to be
  representative of your population

Answer 22

simple random sampling

Question 23

• In this method all the items of the population
  are numbered on separate slips of paper of
  same size, shape and color

Answer 23

lottery method

Question 24

• Random number can be generated through
  scientific calculator or computers
• For each press of the key get a new random
  numbers
• The ways of selection of sample is similar to that
  of using random number table

Answer 24

Random Number Selection Using Calculators and
Computers

Question 25

Is a method of sampling that involves the division of a population into smaller subgroups knowns as _.

Answer 25

stratified random sampling; strata

Question 26

formed based on members’ shared attributes or characteristics such as income or educational attainment

Answer 26

strata

Question 27

stratified sampling formula

Answer 27

stratified random sampling = total sample size/entire population x population of subgroups

Question 28

* Widely employed because of its ease & convenience * Frequently used method of sampling when a complete list of the population is available

Answer 28

systematic sampling

Question 29

Every nth individual from the population (N) is placed in the sample (n)

Answer 29

Quasi Random Sampling

Question 30

a way to select participants randomly that are spread out geographically

Answer 30

CLUSTER SAMPLING

Question 31

formula for systematic sampling


Answer 31

k=N/n

Question 32

In systematic sampling, Kth item is picked up from the __and K is called the _


Answer 32

In systematic sampling Kth item is picked up from the sampling frame and K is called the sampling interval

Question 33

Sample is not a proportion of the population and there is no system in selecting the sample


Answer 33

non-probability sampling

Question 34

No system of selection but only those whom the researcher or interviewer meet by chance are included in the sample


Answer 34

Accidental Sampling/Convenience Sampling

Question 35

a sample made up of volunteers Compared to a random sample, these types of samples are always biased.


Answer 35

Voluntary Response Sampling

Question 36

Respondents are chosen on the basis of their knowledge of the information desired


Answer 36

purposive Sampling

Question 37

sample members are chosen only on the basis of the researcher’s knowledge and judgment


Answer 37

Judgement Sampling

Question 38

enumerate the types of non-probability sampling


Answer 38

accidental/convenience sampling voluntary response sampling purposive sampling snowball sampling

Question 39

If the population is hard to access, __ can be used to recruit participants via other participants


Answer 39

Snowball Sampling