4th quarter

• In statistics, it refers to positive real numbers that help to measure the variability that conveys the idea of spread for the data sheet.

  Measures of dispersion
• The average of the squared difference from the mean. The mean of the squared deviation scores.

  Variance
• It is defined as the measure of dispersion of the values in a given data set from their mean. It is the spread of data around the mean. It is a measure of how spread-out the values are.

  Standard Deviation
• It is how far apart the numbers are in the data set. Square root of variance.

  Standard Deviation
• One of the most important steps in the research process is to select the sample of individuals who will participate as a part of the study.

  Sampling Technique
• Refers to the process of selecting individuals.

  Sampling
• consists of all the members of the group about which we want to draw conclusion.

  Population
• is a portion, or part, of the population of interest selected for analysis.

  Sample
• What are the 4 random sampling techniques?

  Simple Random Sampling
• probability sampling method in which sample members from a larger

  population are selected according to a random starting point but with a fixed, periodic interval. Is a process of selecting kth element in the population until the desired number of subjects or respondents is attained.

  Systematic Sampling
• Is a process f subdividing the population into subgroups or strata and drawing members at random from each subgroup or stratum.

  Stratified Sampling
• Is a process of selecting clusters from a population which is very

  large or widely spread out over a wide geographical area.

  Cluster Sampling
• Is a process whose members had an equal chance of being selected from the population; It is also called PROBABILITY SAMPLING.

  Random Sampling
• Is a process where samples selected in a deliberate manner with little or no attention to randomization. It can rely on the subjective judgement of the researcher. It is also called NON-PROBABILITY SAMPLING.

  Non-Random Sampling
• What are the four non-random sampling techniques?

  Convenience sampling, purposive sampling, snowball sampling, quota sampling
• Is a process of selecting a group of individuals who (conveniently) are available for study. Also known as accidental, opportunity or grad sampling.

  Convenience Sampling
• Samples are chosen on the goal of the study. They may be chosen based on their knowledge of the study being conducted or if they satisfy the traits or conditions set by the researcher.

  Purposive Sampling
• Proportion of the groups in the population were considered in the manner and selection of the respondents.

  Quota Sampling
• Participants in the study were tasked to recruit other members for the study.

  Snowball Sampling