STATPROB FINAL(terms)

• This sample is selected from the population and the data gathered from it will represent the data that can be gathered from the entire population.
• Hypothesis - is an educated guess that can be tested

  -it is a statement that describes the population parameter
• Two types of hypothesis

  -null hypothesis

  -alternative hypothesis
• Null hypothesis(H0) - no difference (zero difference)
• Alternative Hypothesis(Ha)- there is a difference (non zero difference)
• Level of Significance - The probability of rejecting a null hypothesis when it is true, denoted by alpha or α
• Type I Error - Rejecting a null hypothesis when it is actually true
• Level of Significance - probability of rejecting a true null hypothesis
• Test Statistic - this is used as a basis for deciding whther the null hypothesis should be rejected
• Rejection Region - This is the set of values that of the test statistic that leads to rejection of the null hypothesis.
• Non rejection region - this is the set of values of the test statistic that leads to the acceptance of the null hypothesis.
• Critical Value - This is the set of values of the test statistic that separates the rejection and non-rejection regions
• Hypothesis testing - is an area in statistical inference wherein we can evaluate the conjecture about some of the characteristics of a population.
• Type 2 error - accepting null hypothesis when it is false