Math3 Reviewer- Finals PDF

Math3 Reviewer Lesson 2: Estimation/ Confidence Level Estimation Lesson 1: Sampling Method/ Central limit 1. Point Estimate- Single Number Theorem...

Math3 Reviewer Lesson 2: Estimation/ Confidence Level Estimation Lesson 1: Sampling Method/ Central limit 1. Point Estimate- Single Number Theorem a. Confidence Interval- Provides additional information about the Probability Sampling- a sample selected variability such that each item or person in the 2. Interval Estimate- Provides more population is being studied information about a population characteristic (also called confidence Methods of Probability Sampling interval) 1. Simple Random Sampling- each item or person has the chance of being Confidence Level included - Interval will contain the unknown 2. Systematic Random Sampling- the population parameter population are arranged in some orders by nth member is selected for sample. Lesson 3: Hypothesis Testing 3. Stratified Random Sampling – a population is first divided into Hypothesis Testing subgroups called strata and sample is - design to detect significant differences: selected from each stratum. differences that did not occur by random 4. Cluster Sampling – A population is fist chance. divided into primary units then samples are selected from primary units 2 Types of Hypothesis 5. Non-Probability Sample – based on the 1. Null Hypothesis – always state there judgment of the person selecting the is no significance difference sample 2. Alternative Hypothesis- The 6. Sampling Error- difference between a difference is real, opposite of Null. sample statistic and its corresponding population parameter Type of Test 1. Z-test – when n>30 (greater) Sampling Distribution of Sample Mean 2. T-Test- when n