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Worksheets3RD SUMMATIVE TEST IN STATISTICS AND PROBABILITY
Total questions: 60
Worksheet time: 1hrs 22mins
Which of the following refers to the selection of the subset of individuals from within a statistical population?
Parameters
Population
Sampling
Statistic
Which of the following is a subset or representation of a population?
Parameters
Population
Sample
Statistic
Which of the following is NOT a random sampling technique?
Simple Random Sampling
Multi-stage Sampling
Snowball Sampling
Cluster Sampling
Which of the following is NOT a nonrandom sampling technique?
Volunteer Sampling
Multi-stage Sampling
Snowball Sampling
Convenience Sampling
Opinion poll is an example of what nonrandom sampling technique?
Volunteer Sampling
Multi-stage Sampling
Snowball Sampling
Convenience Sampling
What do you call to the general term of a sampling techniques where there is biased in the selection of the sample?
Random Sampling
Nonrandom Sampling
Parameter
Statistic
What do you call to the general term of a sampling techniques where there is non-biased in the selection of the sample?
Random Sampling
Nonrandom Sampling
Parameter
Statistic
What do you call to the totality of observations from a set of data?
Population
Sample
Parameter
Statistic
Which of the following refers to the numerical description of the sample?
Population
Sample
Parameter
Statistic
Which of the following refers to the numerical description of the population?
Population
Sample
Parameter
Statistic
What do you call to the groups in stratified random sampling?
Quota
Sample
Strata
Cluster
What do you call to the groups in cluster sampling?
Quota
Sample
Strata
Cluster
What sampling technique that considers every nth element of the population?
Quota Sampling
Accidental Sampling
Snowball Sampling
Systematic Sampling
Which of the following is the formula to be used in getting the sample size?
Standard Error Formula
Sample Mean Formula
Combination Formula
Sloven's Formula
What do you call to the distribution that shows the proportion or probabilities when all the possible samples are drawn from a population?
Normal Distribution
Sampling Distribution
Discrete Random Distribution
Continuous Random Distribution
How many possible samples can be made considering a sample of size 4 from a population of 6?
20
15
10
24
Which of the following is an example of a sample?
The total number of students in a school
A group of 40 patients in a hospital who are given a particular treatment
The ages of all employees in a certain company
The number of taxpayers in Philippines
Which of the following is the correct formula to be used to find the mean of the sample means?
Which of the following is the correct formula to be used for standard error?
Which of the following is the Sloven's Formula?
Annie asked some respondents to suggest other possible participants for the research.
Convenience Sampling
Snowball Sampling
Purposive Sampling
Quota Sampling
A certain television show asks viewers to participate in an online poll on a voluntary basis.
Convenience Sampling
Snowball Sampling
Purposive Sampling
Quota Sampling
A teacher assigned class numbers to each student and then spun a number roulette to identify the members of the sample.
Simple Random Sampling
Snowball Sampling
Purposive Sampling
Accidental Sampling
Every 10th costumer that makes an order in the fast food chain was asked to fill up a costumer satisfaction questionnaire.
Systematic Sampling
Snowball Sampling
Purposive Sampling
Accidental Sampling
What is the sample mean of the samples 0, 1, 2?
1
1.5
2
3
What is the sample mean of the samples 0, 1, 3?
1.33
1.67
4
2
What is the sample mean of the samples 0, 2, 3?
1.33
1.67
5
2.5
What is the sample mean of the samples 1, 2, 3?
6
2
3
1.5
What is N in the given:
7
10
13.5
1.92
What is mean of the sample means in the given table?
7
10
13.5
1.92
All nonprobability sampling techniques have fairness in selecting samples
True
False
The bigger the population per stratum, the bigger the sample size.
True
False
Each stratum of the population should be properly presented
True
False
Selective sampling focuses on samples which are taken from the judgement of the researcher.
True
False
The sample of each group is equal to its population.
True
False
The groups under stratified random sampling are divided homogeneously.
True
False
In Sloven's Formula, e stands for the margin of error.
True
False
Sigma is the symbol for Summation.
True
False
There are 12 possible samples can be drawn from a population of 10 with a sample size of 4 using the Combination Formula.
True
False
Standard error is computed by dividing the summation of the PRODUCT of the sample mean and frequency of the sample mean.
True
False
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.
Random Sampling
Nonrandom Sampling
Random Variable
Random Distribution
It used when the sample is not a proportion of the population and when there is no system in selecting a sample.
Random Sampling
Nonrandom Sampling
Random Variable
Random Distribution
It is a sampling technique in which members of the population are listed and samples are selected in intervals called sample intervals.
Simple Random Sampling
Systematic Sampling
Cluster Sampling
Multi-stage Sampling
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.
Simple Random Sampling
Systematic Sampling
Cluster Sampling
Multi-stage Sampling
It is a sampling technique where every member of the population has an equal chance of being selected.
Simple Random Sampling
Systematic Sampling
Cluster Sampling
Multi-stage Sampling
In this sampling technique, the population is divided into groups based on certain characteristics or homogeneity. The groups are called STRATA.
Stratified Random Sampling
Systematic Sampling
Cluster Sampling
Multi-stage Sampling
It is done using a combination of different sampling techniques.
Stratified Random Sampling
Systematic Sampling
Cluster Sampling
Multi-stage Sampling
It is a sampling technique which includes a specified number of persons of certain types to be taken as sample.
Accidental Sampling
Convenience Sampling
Purposive Sampling
Quota Sampling
It is a sampling technique in which only those whom the researcher met by chance are included in the sample.
Accidental Sampling
Convenience Sampling
Purposive Sampling
Quota Sampling
It is a sampling technique that uses telephone, mobile phones, or the internet.
Accidental Sampling
Convenience Sampling
Purposive Sampling
Quota Sampling
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.
Accidental Sampling
Convenience Sampling
Purposive Sampling
Quota Sampling
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.
Accidental Sampling
Convenience Sampling
Snowball Sampling
Volunteer Sampling
This sampling technique has sample units which are those who volunteered to participate in the study
Accidental Sampling
Convenience Sampling
Snowball Sampling
Volunteer Sampling
From the given table, what is the sample size for Honesty?
21
114.33
24.5
350
From the given table, what is the sample size for Humility?
21
114.33
24.5
350
From the given table, what is the sample size for Joy?
21
114.33
24.5
350
From the given table, what is the sample size for Integrity?
21.43
50
24.5
350
From the given table, what is the sample size for Kindness?
21.43
50
24.5
350
From the given table, what is the sample size for Loyalty?
21.86
21.43
24.5
51
From the given table, what is the sample size for Piety?
22.29
21.43
52
21.86
