wayground logo

Free Printable Worksheets

NEW

Font size

S
M
L
XL
Worksheets

3RD SUMMATIVE TEST IN STATISTICS AND PROBABILITY

Total questions: 60

Worksheet time: 1hrs 22mins

Name
Class
Date
1.

Which of the following refers to the selection of the subset of individuals from within a statistical population?

a)

Parameters

b)

Population

c)

Sampling

d)

Statistic

2.

Which of the following is a subset or representation of a population?

a)

Parameters

b)

Population

c)

Sample

d)

Statistic

3.

Which of the following is NOT a random sampling technique?

a)

Simple Random Sampling

b)

Multi-stage Sampling

c)

Snowball Sampling

d)

Cluster Sampling

4.

Which of the following is NOT a nonrandom sampling technique?

a)

Volunteer Sampling

b)

Multi-stage Sampling

c)

Snowball Sampling

d)

Convenience Sampling

5.

Opinion poll is an example of what nonrandom sampling technique?

a)

Volunteer Sampling

b)

Multi-stage Sampling

c)

Snowball Sampling

d)

Convenience Sampling

6.

What do you call to the general term of a sampling techniques where there is biased in the selection of the sample?

a)

Random Sampling

b)

Nonrandom Sampling

c)

Parameter

d)

Statistic

7.

What do you call to the general term of a sampling techniques where there is non-biased in the selection of the sample?

a)

Random Sampling

b)

Nonrandom Sampling

c)

Parameter

d)

Statistic

8.

What do you call to the totality of observations from a set of data?

a)

Population

b)

Sample

c)

Parameter

d)

Statistic

9.

Which of the following refers to the numerical description of the sample?

a)

Population

b)

Sample

c)

Parameter

d)

Statistic

10.

Which of the following refers to the numerical description of the population?

a)

Population

b)

Sample

c)

Parameter

d)

Statistic

11.

What do you call to the groups in stratified random sampling?

a)

Quota

b)

Sample

c)

Strata

d)

Cluster

12.

What do you call to the groups in cluster sampling?

a)

Quota

b)

Sample

c)

Strata

d)

Cluster

13.

What sampling technique that considers every nth element of the population?

a)

Quota Sampling

b)

Accidental Sampling

c)

Snowball Sampling

d)

Systematic Sampling

14.

Which of the following is the formula to be used in getting the sample size?

a)

Standard Error Formula

b)

Sample Mean Formula

c)

Combination Formula

d)

Sloven's Formula

15.

What do you call to the distribution that shows the proportion or probabilities when all the possible samples are drawn from a population?

a)

Normal Distribution

b)

Sampling Distribution

c)

Discrete Random Distribution

d)

Continuous Random Distribution

16.

How many possible samples can be made considering a sample of size 4 from a population of 6?

a)

20

b)

15

c)

10

d)

24

17.

Which of the following is an example of a sample?

a)

The total number of students in a school

b)

A group of 40 patients in a hospital who are given a particular treatment

c)

The ages of all employees in a certain company

d)

The number of taxpayers in Philippines

18.

Which of the following is the correct formula to be used to find the mean of the sample means?

a)
b)
c)
d)
19.

Which of the following is the correct formula to be used for standard error?

a)
b)
c)
d)
20.

Which of the following is the Sloven's Formula?

a)
b)
c)
d)
21.

Annie asked some respondents to suggest other possible participants for the research.

a)

Convenience Sampling

b)

Snowball Sampling

c)

Purposive Sampling

d)

Quota Sampling

22.

A certain television show asks viewers to participate in an online poll on a voluntary basis.

a)

Convenience Sampling

b)

Snowball Sampling

c)

Purposive Sampling

d)

Quota Sampling

23.

A teacher assigned class numbers to each student and then spun a number roulette to identify the members of the sample.

a)

Simple Random Sampling

b)

Snowball Sampling

c)

Purposive Sampling

d)

Accidental Sampling

24.

Every 10th costumer that makes an order in the fast food chain was asked to fill up a costumer satisfaction questionnaire.

a)

Systematic Sampling

b)

Snowball Sampling

c)

Purposive Sampling

d)

Accidental Sampling

25.

What is the sample mean of the samples 0, 1, 2?

a)

1

b)

1.5

c)

2

d)

3

26.

What is the sample mean of the samples 0, 1, 3?

a)

1.33

b)

1.67

c)

4

d)

2

27.

What is the sample mean of the samples 0, 2, 3?

a)

1.33

b)

1.67

c)

5

d)

2.5

28.

What is the sample mean of the samples 1, 2, 3?

a)

6

b)

2

c)

3

d)

1.5

29.

What is N in the given:

a)

7

b)

10

c)

13.5

d)

1.92

30.

What is mean of the sample means in the given table?

a)

7

b)

10

c)

13.5

d)

1.92

31.

All nonprobability sampling techniques have fairness in selecting samples

a)

True

b)

False

32.

The bigger the population per stratum, the bigger the sample size.

a)

True

b)

False

33.

Each stratum of the population should be properly presented

a)

True

b)

False

34.

Selective sampling focuses on samples which are taken from the judgement of the researcher.

a)

True

b)

False

35.

The sample of each group is equal to its population.

a)

True

b)

False

36.

The groups under stratified random sampling are divided homogeneously.

a)

True

b)

False

37.

In Sloven's Formula, e stands for the margin of error.

a)

True

b)

False

38.

Sigma is the symbol for Summation.

a)

True

b)

False

39.

There are 12 possible samples can be drawn from a population of 10 with a sample size of 4 using the Combination Formula.

a)

True

b)

False

40.

Standard error is computed by dividing the summation of the PRODUCT of the sample mean and frequency of the sample mean.

a)

True

b)

False

41.

It is a selection of n elements derived from a population N, which is the subject of the investigation or experiment, where each sample point has an equal chance of being selected using the appropriate sampling technique.

a)

Random Sampling

b)

Nonrandom Sampling

c)

Random Variable

d)

Random Distribution

42.

It used when the sample is not a proportion of the population and when there is no system in selecting a sample.

a)

Random Sampling

b)

Nonrandom Sampling

c)

Random Variable

d)

Random Distribution

43.

It is a sampling technique in which members of the population are listed and samples are selected in intervals called sample intervals.

a)

Simple Random Sampling

b)

Systematic Sampling

c)

Cluster Sampling

d)

Multi-stage Sampling

44.

The sample is taken through a random selection of cluster(s) and then all the members of the chosen cluster(s) will be part of the sample.

a)

Simple Random Sampling

b)

Systematic Sampling

c)

Cluster Sampling

d)

Multi-stage Sampling

45.

It is a sampling technique where every member of the population has an equal chance of being selected.

a)

Simple Random Sampling

b)

Systematic Sampling

c)

Cluster Sampling

d)

Multi-stage Sampling

46.

In this sampling technique, the population is divided into groups based on certain characteristics or homogeneity. The groups are called STRATA.

a)

Stratified Random Sampling

b)

Systematic Sampling

c)

Cluster Sampling

d)

Multi-stage Sampling

47.

It is done using a combination of different sampling techniques.

a)

Stratified Random Sampling

b)

Systematic Sampling

c)

Cluster Sampling

d)

Multi-stage Sampling

48.

It is a sampling technique which includes a specified number of persons of certain types to be taken as sample.

a)

Accidental Sampling

b)

Convenience Sampling

c)

Purposive Sampling

d)

Quota Sampling

49.

It is a sampling technique in which only those whom the researcher met by chance are included in the sample.

a)

Accidental Sampling

b)

Convenience Sampling

c)

Purposive Sampling

d)

Quota Sampling

50.

It is a sampling technique that uses telephone, mobile phones, or the internet.

a)

Accidental Sampling

b)

Convenience Sampling

c)

Purposive Sampling

d)

Quota Sampling

51.

This sampling technique is also called judgmental or selective sampling because it focuses on samples which are taken based on the judgment of the researcher.

a)

Accidental Sampling

b)

Convenience Sampling

c)

Purposive Sampling

d)

Quota Sampling

52.

This sampling technique is sometimes called chain-referral sampling. In this technique, the researcher chooses a possible respondent for the study at hand. Then, each respondent is asked to give recommendations or referrals to other possible respondents.

a)

Accidental Sampling

b)

Convenience Sampling

c)

Snowball Sampling

d)

Volunteer Sampling

53.

This sampling technique has sample units which are those who volunteered to participate in the study

a)

Accidental Sampling

b)

Convenience Sampling

c)

Snowball Sampling

d)

Volunteer Sampling

54.

From the given table, what is the sample size for Honesty?

a)

21

b)

114.33

c)

24.5

d)

350

55.

From the given table, what is the sample size for Humility?

a)

21

b)

114.33

c)

24.5

d)

350

56.

From the given table, what is the sample size for Joy?

a)

21

b)

114.33

c)

24.5

d)

350

57.

From the given table, what is the sample size for Integrity?

a)

21.43

b)

50

c)

24.5

d)

350

58.

From the given table, what is the sample size for Kindness?

a)

21.43

b)

50

c)

24.5

d)

350

59.

From the given table, what is the sample size for Loyalty?

a)

21.86

b)

21.43

c)

24.5

d)

51

60.

From the given table, what is the sample size for Piety?

a)

22.29

b)

21.43

c)

52

d)

21.86