stats reviewer 4th mid

• Random Sampling

  • selection of "n" elements derived from "N" population, which is the subject of an investigation/experiment
  • has an equal chance of being selected
• Types of Random Sampling

  1. Probability Sampling- involves random selection
  2. Non-probability- do not involve random selection of data
• Target Population

  the set of all possible values of a variable
• Sample

  it consists of one or more data drawn from the population
• Types of Random Sampling Technique

  1. Simple Random Sampling
  2. Systematic Sampling
  3. Stratified Random Sampling
  4. Cluster Sampling
• Simple Random Sampling

  each member of the population has an equal chance of being selected
• Systematic Sampling

  listed and selected at interval called sample intervals
• Stratified Random Sampling

  it is used when there are number of distinct subgroups in the population within full representation is required
• Cluster Sampling

  sometimes referred to as area sampling and applied on a geographical basis
• Parameter

  descriptive population measure
• Parameter

  ex. The researcher interviewed all the students of a school for their favorite apparel brand
• Statistics

  number that describes the sample
• Statistics

  ex. Researcher interviewed 70% of COVID-19 survivors
• Sampling Distribution of Sample Means

  frequency distribution using the means computed from all possible random samples of a specific suze taken from a population