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§ Assignments and Activities §
Hypothesis Testing
§ Introduction
§
Hypothesis testing is the second method of statistical inference. Confidence interval calculation was the first. When using confidence intervals, there is an attempt to quantify the value of the unknown population parameter (m in our case) over a range of possible values based on a point estimate (xbar). Hypothesis testing is designed to estimate the probability of the sample result (xbar) occurring by chance, if the hypothesized value of the population parameter (the null hypothesis, Ho) is in fact correct. If the statistical distance between xbar and m is large, we will reject the Ho. The alternative hypothesis, (Ha) which is the opposite of the Ho is then supported. If the statistical distance between xbar and m is small, we will support the Ho.
Objectives:
1. Study textbook and
on-line material for a general understanding of hypothesis testing.
2. Use the 5-step method of hypothesis testing to test two-tailed and one-tail
hypotheses concerning the population mean.
3. Use p-values and/or alpha values to test the hypotheses listed in #2 above.
4. Use confidence intervals to test two-tailed hypotheses.
To complete this Topic successfully, please complete the following activities in the order shown below:
TEXTBOOK READING: Read Chapter 8 in Kvanli, et. al.
Optional and free on-line texts for statistics: HyperStat and StatSoft
ON-LINE LESSON 1: Hypothesis
Testing: Introduction
ON-LINE LESSON 2: Hypothesis
Testing: Examples
SPREADSHEET: Excel
and Equations
ASSIGNMENT: Home
Work
Look here before beginning quiz if using a telephone modem.
SELF TEST: Practice
Quiz
Visit this Web site, click on the features which apply to hypothesis testing and other topics of interest.
WEB ACTIVITY: WebStats
In this simulation, click the Alternative Hypothesis to see one and two tail test. The red arrow indicated the position of xbar. You can change any of the values in red boxes. Do not save changes.
Use WebMail to send attachments and/or messages. Put BA501 (last name) Assignment name and number somewhere in the "subject" line of your e-mail. Address to BA501@mail.cba.nau.edu
Go on to Correlation
Analysis
or
Go back to Statistics
Please reference "BA501 (your last name) Assignment name and number" in the subject line of either below.
E-mail Dr. James V. Pinto at
BA501@mail.cba.nau.edu
or call (928) 523-7356. Use WebMail for attachments.
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Arizona University
ALL RIGHTS RESERVED