m200-Triola-Sect08-2

Math200 Lecture Series
Cañada College
Ray Lapuz

Table of Contents:

00:00 - Slide 1
00:18 - Chapter 8 Hypothesis Testing
00:23 - Review
01:10 - Main Objective
01:29 - Examples of Hypotheses that can be Tested
02:14 - Caution
02:37 - Chapter 8 Hypothesis Testing
02:44 - Key Concept
03:47 - Definitions
04:15 - Rare Event Rule for Inferential Statistics
04:44 - Null Hypothesis
05:19 - Alternative Hypothesis
05:40 - Note about Forming Your Own Claims (Hypotheses)
06:01 - Steps 1, 2, 3 Identifying H0 and H1
06:57 - Example
07:55 - Step 4 Select the Significance Level α
08:14 - Significance Level
08:39 - Step 5 Identify the Test Statistic and Determine its Sampling Distribution
09:42 - Slide 19
10:00 - Step 6 Find the Value of the Test Statistic, Then Find Either the P-Value or the Critical Value(s)
10:23 - Example
11:01 - Example - Continued
11:32 - Example – Convert to the Test Statistic
12:25 - Types of Hypothesis Tests: Two-tailed, Left-tailed, Right-tailed
13:00 - Two-tailed Test
13:38 - One Tail Tests
14:10 - P-Value
14:59 - P-Value
15:16 - Example
15:27 - Example
15:43 - Procedure for Finding P-Values
15:51 - Critical Region
16:07 - Critical Value
16:26 - Example
16:58 - Caution
17:28 - Step 7 : Make a Decision: Reject H0 or Fail to Reject H0
17:40 - Slide 37
18:31 - Example
19:51 - Step 8 : Restate the Decision Using Simple and Nontechnical Terms
20:20 - Wording of Final Conclusion
20:56 - Example
21:31 - Example
21:54 - Example
22:09 - Caution
22:30 - Accept Versus Fail to Reject
22:55 - Type I Error
23:36 - Type II Error
23:46 - Slide 48
23:55 - Example
24:07 - Example - Continued
24:39 - Controlling Type I and Type II Errors