Final Exam

This type of Statistics will use the information collected from the sample to generalize the population.

• Inferential Statistics

• Descriptive Statistics

• Statistic

• Parameters

This is the process of finding an approximate value of some parameter, such as the mean, of a population from random samples of the population.

• Point Estimation

• Parameter

• Statistic

• Interval Estimation

This is also called as confidence interval for parameter.

• Interval Estimation

• Point Estimation

• Statistic

• Parameter

This refers to the maximum number of logically

independent values which vary in the data sample.

The formula to get this is n - 1.

• Degrees of Freedom

• Interval Estimation

• Margin of Error

• Level of Confidence

These are pronouncements and are usually expressed in terms of the value of a parameter or the distribution of population values.

• Parameter

• Inferential Statistics

• Level of Confidence

• Statistical Hypothesis

This is a procedure based on a random sample of observations with a given level of probability of committing an error in making the decision, whether the hypothesis is true or false.

• Statistical Hypothesis

• Test of Hypothesis

• Inferential Statistics

• Descriptive Statistics

This is the statement or claim or conjecture to be tested.

• Hypothesis

• Alternative Hypothesis

• Null Hypothesis

• Test of Hypothesis

This is the claim that is accepted in case the null hypothesis is rejected.

• Hypothesis

• Alternative Hypothesis

• Null Hypothesis

• Test of Hypothesis

A type of error that occurs if a true null hypothesis is rejected.

• Error

• Type I

• Type II

• Reject Ho

This type of error occurs if a false null hypothesis is not rejected

• Error

• Type I

• Type II

• Fail to Reject Ho