stats

    Cards (18)

      • Random Sampling
      A simple random sampling or random sampling is a selection of 𝑛 elements derived from a population 𝑁, which is the subject of the investigation or experiment,
    • A population refers to the entire group that is under study
      or investigation or group
    • A sample is a subset taken from a population
    • The normal curve or bell curve is a graph that represents the probability density function of the normal probability distribution.
      The normal curve is also called the Gaussian curve, named after the mathematician Carl Friedrich Gauss.
    • Lottery sampling (Simple random sampling)
      A sampling technique where every member of the
      population has an equal chance of being selected.
    • Systematic sampling
      A sampling technique in which members of the population are
      ordered in some way such as alphabetically or numerically
    • Cluster sampling
      It is sometimes called area sampling, the population is divided into groups or clusters,
    • Stratified random sampling
      A sampling procedure wherein the members of the population are
      grouped based on their homogeneity
    • Multi-stage sampling
      It is done using a combination of different sampling techniques.
    • Nonrandom Sampling Techniques
      is used when the sample is not a proportion of the population
    • Quota sampling
      • The researcher limits the number of his samples based on the required number of the subject under investigation.
    • Convenience sampling
      • The researcher conducts a study at his convenient time, preferred place, or venue.
    • Purposive sampling
      • It is used in very small sample sizes.
    • INFERENTIAL
      STATISTICS
      • It involves making inferences, predictions, or generalizations
      • ESTIMATION
      It is a process whereby we select a random sample from a population
    •  Point Estimates - a single value that best determines the proposed parameter value of the population.
    • INTERVAL ESTIMATION
      • also called a confidence interval
      • the interval of values that predicts where the true population parameter belongs
    • A sample is a subset taken from a population,
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