Directions: Read each question carefully, then write the letter of the correct answer.

1. It is a sampling technique wherein every element of the population has the same

probability of being chosen to be included in the sample.

A. Simple Random Sampling C. Stratified Sampling

B. Systematic Sampling D. Cluster Sampling

2. It is a measure that describes the population.

A. Parameter B. Sample C. Sampling D. Statistic

3.

A. Data B. Parameter C. Sample D. Statistic

4. x, s2, and s are examples of _____________.

A. Data B. Parameter C. Sample D. Statistic

5. A researcher wants to select 25 people from a population of 75 using systematic

sampling. What is the sampling interval?

A. 2 B. 3 C. 43 D. 5

ACTIVITY 1.1

Directions: Identify the following examples as population or sample.

__________ 1. A grade 11 students selected to study the effects of social media.

__________ 2. The ages of government employee in Taguig City.

__________ 3. The number of Anne Curtis's followers.

__________ 4. The total number of loaves of bread baked each day in a bakery.

__________ 5. Blood types of group of individuals in a certain barangay.

ACTIVITY 1.2

Directions: Classify each sample as simple random sampling, stratified random

sampling, systematic random sampling, or cluster random sampling.

__________ 1. Every 5th student entering a school campus is asked to select his/ her

favorite color.

__________ 2. A researcher interviewed 12 farmers in each of the 18 randomly selected

Barangay in Bulacan Province.

__________ 3. Teachers are selected using random numbers in order to determine their

annual salaries.

__________ 4. A professor asked the students to pass the class card to him; he then

shuffles the cards and then draws 7 names for recitation.

__________ 5. A teacher researcher divided the subjects into four groups according to

track/strands and then selected sample from each group.

ACTIVITY 1.3

Directions: Compute the sample size of the following using Slovin' s Formula.

1. N = 2500, e = 0.05 2. N = 486, e = 0.01

REMEMBER

There are four types of random sampling, namely, simple random sampling,

systematic sampling, stratified sampling, and cluster sampling.

CHECKING YOUR UNDERSTANDING

Directions: Choose which sampling method is appropriate in the following situations.

Write only the letter of your choice.

1. The teacher randomly selects 20 boys and 15 girls from a batch of learners to be the

members of a group that will go on a field trip.

A. Simple Random Sampling C. Systematic Random Sampling

B. Cluster Sampling D. Stratified Random Sampling

2. A sample of 10 mice are selected at random from a set of 40 mice to test the effect of

a certain medicine.

A. Simple Random Sampling C. Systematic Random Sampling

B. Cluster Sampling D. Stratified Random Sampling

3. Two out of five people in a certain seminar are asked what they think of the

president.

A. Simple Random Sampling C. Systematic Random Sampling

B. Cluster Sampling D. Stratified Random Sampling

4. A barangay health worker asks every 4th house in the village for the ages of the

children living in those households.

A. Simple Random Sampling C. Systematic Random Sampling

B. Cluster Sampling D. Stratified Random Sampling

5. Bea, a Statistics student, wants to determine who cares more about their physical

appearances - the male or the female students. She wants to limit her study to

Grade 11 students; however, there are more females than males which are 279 and

250, respectively. If Bea wants her sample to consist only of 50 students, which

sampling method will she use?

A. Simple Random Sampling C. Systematic Random Sampling

B. Cluster Sampling D. Stratified Random Sampling

LOOKING BACK

Answer the following questions.

1. How will you differentiate a population from a sample?

2. How will you determine if you will use a population or a sample in a study?