[LBOLYTC] Quiz 2

• A hypothesis is an assumption about the population parameter.
• Hypothesis testing is the process of making an inference or generalization on population parameters based on the results of the study samples.
• Statistical hypotheses is a guess or prediction by the researcher regarding the possible outcome of the study.
• Null hypothesis is always rejected and always contains an equal sign.
• Alternative hypothesis challenges the null and never contains an equal sign.
• Alternative hypothesis is also called the researcher's hypothesis.
• Z-test is used for a sample size that is more than or equal to 30.
• T-test is used for a sample size less than 30.
• Type I error is rejecting a true Ho.
• Type II error is accepting a false Ho.
• Population is a set which includes all measurements of interest to the researcher.
• A sample is a subset of the population.
• Probability sampling is when each member of the population is given equal chance of being included in the sample.
• Non-probability sampling is when each member of the population does not have equal chance of being included in the sample.
• Convinience sampling is when the researcher uses subjects readily available or easy to reach.
• Purposive sampling is when the researcher looks for predefined groups that will serve as samples.
• Simple random sampling is when all members of the population have a chance of being included in the sample.
• Stratified sampling is used when the population can be subdivided into smaller groups and the SRS can be applied.
• Cluster sampling employes the use of cluster instead of individuals that are randomly chosen.
• Systematic sampling selects every kth member of the population with the starting point determined at random.
• The minimum sample size for meaningful results is 100.