Stat & Prob SEMI-FINALS S2

Cards (25)

  • N - Population Size
  • sample - representative portion of the population
  • n - Sample size
  • Element or sampling unit - Each member in the sample unit
  • random sampling - each member of the population has a nonzero chance to be selected as a subject
  • Simple Random Sampling - used if all the units in the population are homogenous.
  • Lottery Method - each member of the population is assigned a unique number
  • Sampling with replacement - upon selecting a unit at random from the population, the unit is returned to the population.
  • Sampling without replacement - the unit selected at random from the population is not included in the next Selection.
  • Systematic Sampling - , the sampling interval k is determined by getting the quotient of population size N and sample size n.
  • stratified sampling - used if the population is not homogeneous.
  • Cluster sampling - used if the population is very large.
  • Multi-stage Sampling - the population is divided into hierarchy of units, and sampling is done successively.
  • Parameter - a number that summarizes the data from an entire population.
  • statistic - a number summarize the data from a sample.
  • statistical Hypothesis - a statement regarding an unknown population parameter.
  • null Hypothesis - the hypothesis being tested.
  • Alternative Hypothesis - the operational statement of the conjecture that the proponent believes to be true and wishes to investigate.
  • Alternative hypothesis - It is a statement contradictory to the mll hupothesis.
  • statistical test - is done to make a decision whether the null hypothesis should be rejected or not.
  • The numerical value obtained from a statistical test is called the test statistic
  • Type 1 Error - the error of rejecting the null hypothesis when in fact it is true
  • Туре II Error - a type Il error is the error committed when we decide not to reject the mull hypothesis when in reality the null hypothesis is fake.
  • Power of the test - The probability of not committing a Type I error
  • In statistics, the word "significance" means " not by chance" or
    "probably true".