It is a branch of Mathematics that deals with the collection, organization, presentation, analysis, and interpretation of data., Census, Population, Sample, Statistics, What is the difference between a sample and a population in statistics?, A population is only used in qualitative research, while a sample is used in quantitative research. , A sample is the entire group, while a population is just part of the group. , A sample is part of the population, while a population is the entire group. , There is no difference between them. Irrational numbers cannot be exactly represented as decimals. Which of the following is an example of an irrational number?, A supermarket chain wants to assess customer satisfaction. They want to collect feedback on their products, customer service, and store layout from their customers. They decide to take every 10th customer from a list of all customers who visited the store in the last month. What sampling technique did they employ?, Cluster Sampling  , Simple Random Sampling, Stratified Sampling, Systematic Sampling, A school is conducting a survey to understand students' experiences. The survey asks students to rate their satisfaction with the school cafeteria, and their overall experience with school activities. In the survey, students are asked to rank their satisfaction with the school's cleanliness on a scale from 1 to 10. This is an example of which type of data., Categorical data, Ordinal data, Qualitative data, Quantitative data, If the survey asks students how many hours they spend on homework each week, the data collected is most likely to be:, Categorical data, Ordinal data, Qualitative data, Quantitative data, What type of data describes qualities such as color, texture, or opinion?, Quantitative, Qualitative, Numerical, Statistical, Which data type deals with numbers and measurable amounts?, Qualitative, Quantitative, Descriptive, Categorical, When do we use qualitative data?, When we need exact measurements, When we want to describe characteristics or behavior, When counting large groups, When computing averages, Where can you usually find quantitative data?, Survey answers about feelings, Height and weight records, Artwork descriptions, Personal opinions, Who collects data directly from people, events,, Secondary researcher, Primary researcher, Editor, Librarian, What do we call data collected from books, articles, or reports?, Primary data, Secondary data, Raw data, Personal data, Why do researchers use primary data?, It is copied from other sources, It is cheaper but outdated, It gives fresh and firsthand information, It is easier to download online, Which is an example of secondary data?, Your class survey results, Observing plants in the school garden, Reading data from a textbook, Interviewing a barangay worker, What method of data collection uses asking written questions?, Observation, Interview, Survey, Measurement, Which method requires talking directly to a person?, Interview, Survey, Observation, Document review, It is the entire group you want to study or know about., Statistics, Population, Sample, Sampling, It is a smaller group selected from the population to represent it., Statistics, Population, Sample, Sampling, It is the process of selecting a sample from a larger population in order to gather data and make conclusions about the entire population., Statistics, Population, Sample, Sampling, Every member of the population has an equal chance of being selected., Simple Random Sampling, Systematic Sampling, Stratified Sampling, Cluster Sampling, Convenience Sampling, Select every nth member of the population after arranging them in order., Simple Random Sampling, Systematic Sampling, Stratified Sampling, Cluster Sampling, Convenience Sampling, Divide the population into subgroups (strata) based on a characteristic and then sample from each subgroup., Simple Random Sampling, Systematic Sampling, Stratified Sampling, Cluster Sampling, Convenience Sampling, Divide the population into groups, then randomly select entire group to study., Simple Random Sampling, Systematic Sampling, Stratified Sampling, Cluster Sampling, Convenience Sampling, Select members of the population who are easiest to reach., Simple Random Sampling, Systematic Sampling, Stratified Sampling, Cluster Sampling, Convenience Sampling, A school board wants to analyze the academic performance of students across different regions. They randomly select 5 regions and include all schools in those regions in their study., Simple Random Sampling, Systematic Sampling, Stratified Sampling, Cluster Sampling, Convenience Sampling, A teacher wants to know her students’ favorite snacks. She writes all their names on pieces of paper, puts them in a box, and draws 5 names randomly., Simple Random Sampling, Systematic Sampling, Stratified Sampling, Cluster Sampling, Convenience Sampling, A researcher wants to check the current condition of houses in a housing project area. He creates a list of all residents and inspects every 15th houses on the list., Simple Random Sampling, Systematic Sampling, Stratified Sampling, Cluster Sampling, Convenience Sampling, A marketing team wants to get feedback about a new product. They interview the first 10 customers they meet at the mall entrance., Simple Random Sampling, Systematic Sampling, Stratified Sampling, Cluster Sampling, Convenience Sampling, A school principal wants to survey students' opinions about a new lunch menu. She divides students into groups based on grade level and selects 10 students randomly from each grade., Simple Random Sampling, Systematic Sampling, Stratified Sampling, Cluster Sampling, Convenience Sampling, A health worker wants to monitor a hospital ward’s patient satisfaction. She selects every 4th patient on the list of admitted patients for the day., Simple Random Sampling, Systematic Sampling, Stratified Sampling, Cluster Sampling, Convenience Sampling, A researcher wants to understand household electricity usage in a city. She randomly selects 5 barangays and surveys every household in those barangays., Simple Random Sampling, Systematic Sampling, Stratified Sampling, Cluster Sampling, Convenience Sampling, A university wants to know the favorite campus hangout spots. They randomly select 50 students from the entire student population., Simple Random Sampling, Systematic Sampling, Stratified Sampling, Cluster Sampling, Convenience Sampling, A sports committee wants to evaluate the physical fitness of students. They divide students into groups based on gender and select 15 boys and 15 girls at random., Simple Random Sampling, Systematic Sampling, Stratified Sampling, Cluster Sampling, Convenience Sampling, A social worker wants to understand how community members feel about a new housing program. She interviews families that live closest to her office., Simple Random Sampling, Systematic Sampling, Stratified Sampling, Cluster Sampling, Convenience Sampling, A teacher wants to survey students' favorite school subjects. She writes all 40 students' names on slips of paper, mixes them in a box, and randomly picks 5 names., Simple Random Sampling, Systematic Sampling, Stratified Sampling, Cluster Sampling, Convenience Sampling, A librarian wants to check the condition of books in a library. She lists all 1,000 books in order and inspects every 10th book on the list., Simple Random Sampling, Systematic Sampling, Stratified Sampling, Cluster Sampling, Convenience Sampling, A school wants to survey students’ favorite extracurricular activities. The population is divided into grade levels (Grade 7, 8, 9, and 10), and 10 students are randomly selected from each grade., Simple Random Sampling, Systematic Sampling, Stratified Sampling, Cluster Sampling, Convenience Sampling, Simple random sampling ensures that every individual in the population has an equal chance of being selected., TRUE, FALSE, In systematic sampling, individuals are selected at random from a population without any specific interval or order., TRUE, FALSE, Stratified sampling involves dividing the population into subgroups (strata) and then randomly selecting individuals from each subgroup., TRUE, FALSE, Cluster sampling involves dividing the population into clusters and then randomly selecting entire clusters to include in the sample., TRUE, FALSE, Convenience sampling requires dividing the population into strata and selecting individuals randomly from each stratum., TRUE, FALSE, In systematic sampling, individuals are selected at regular intervals from a randomly chosen starting point., TRUE, FALSE, Cluster sampling is often used when it is impractical to collect data from the entire population due to geographical spread., TRUE, FALSE, Simple random sampling is the most efficient method when the population is large and dispersed., TRUE, FALSE, Convenience sampling is the easiest and fastest method to implement but may introduce bias in the sample., TRUE, FALSE.

SAMPLING TECHNIQUES

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