Stats Random Samp

Cards (13)

  • Population
    The set of all possible values of a variable
  • Sample
    The number of variable to be selected from the population
  • Random sampling
    • Selection of n elements derived from the N population, which is the subject of an investigation or experiment, where each point of the sample has an equal chance of being selected using the appropriate sampling technique
  • Types of Random Sampling Technique
    • Lottery sampling
    • Systematic sampling
    • Stratified random sampling
    • Cluster sampling
    • Multi-stage sampling
  • Lottery sampling
    Sampling technique in which each member of the population has an equal chance of being selected
  • Systematic sampling
    Sampling technique in which members of the population are listed and samples are selected at intervals called sample intervals. In this technique, every nth item in the list will be selected from a randomly selected starting point
  • Stratified random sampling
    Sampling procedure in which members of the population are grouped on the basis of their homogeneity. This technique is used when there are a number of distinct subgroups in the population within which full representation is required
  • Cluster sampling

    Sometimes referred to as area sampling and applied on a geographical basis. Generally, first sampling is performed at higher levels before going down to lower levels. For example, samples are taken randomly from the provinces first, followed by cities, municipalities or barangays, and then from households
  • Multi-stage sampling

    Uses a combination of different sampling techniques. For example, when selecting respondents for a national election survey, we can use the lottery method first for regions and cities. We can then use stratified sampling to determine the number of respondents from selected areas and clusters
  • Parameter
    A descriptive population measure. It is a measure of the characteristics of the entire population (a mass of all the units under consideration that share common characteristics) based on all the elements within that population
  • Parameter
    • All people living in one city, all-male teenagers worldwide, all elements in a shopping cart, and all students in a classroom
  • Statistic
    The number that describes the sample. It can be calculated and observed directly. The statistic is a characteristic of a population or sample group. You will get the sample statistic when you collect the sample and calculate the standard deviation and the mean. You can use sample statistic to draw certain conclusions about the entire population
  • Statistic
    • Fifty percent of people living in the U.S. agree with the latest health care proposal. Researchers can't ask hundreds of millions of people if they agree, so they take samples or part of the population and calculate the rest
    • Researcher interviewed the 70% of covid-19 survivors