chap16_2010

# chap16_2010 - Chapter 16 Single-Population Hypothesis Tests...

This preview shows pages 1–9. Sign up to view the full content.

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: Chapter 16 Single-Population Hypothesis Tests Hypothesis Tests • A statistical hypothesis is an assumption about a population parameter. • There are two types of statistical hypotheses. – Null hypothesis -- The null hypothesis, H0, represents a theory that has been put forward, either because it is believed to be true or because it is to be used as a basis for argument, but has not been proved. – Alternative hypothesis (Research hypothesis) -- The alternative hypothesis, H1, is a statement of what a statistical hypothesis test is set up to establish. Hypothesis Tests Examples • Trials – H0: The person is innocent – H1: The person is guilty • Soda – H0: = 12 oz – H1: < 12 oz Hypothesis Tests • Test Statistics -- the random variable X whose value is tested to arrive at a decision. • Critical values-- the values of the test statistic that separate the rejection and non-rejection regions. • Rejection Region -- the set of values for the test statistic that leads to rejection of H0 • Non-rejection region -- the set of values not in the rejection region that leads to non-rejection of H0 Errors in Hypothesis Tests Actual Situation H0 is true H0 is false Decision Reject H0 Type I error () No error Fail to reject H0 No error Type II error () • (Significance level): Probability of making Type I error • : Probability of making Type II error • 1-: Power of Test (Probability of rejecting H0 when H0 is false) Hypothesis Tests Tails of a Test Two-tailed Test Left-tailed Test Right-tailed Test H0 = = or = or H1 < > Rejection region Both tails Left tail Right tail p-value Sum of areas beyond the test statistics Area to the left of the test statistic Area to the right of the test statistic Hypothesis Tests Examples Two-tailed test: According to the US Bureau of the Census, the mean family size was 3.17 in 1991. An economist wants to check whether or not this mean has changed since 1991. 1- /2 /2 C1 C2 H0: = 3.17 H1: 3.17 Non-rejection Region Rejection Region Rejection Region =3.17 Hypothesis Tests Examples Left-tailed test: A soft-drink company claims that, on average, its cans contain 12 oz of soda. Suppose that a consumer agency wants to test whether the mean amount of soda per can is less than 12 oz....
View Full Document

{[ snackBarMessage ]}

### Page1 / 28

chap16_2010 - Chapter 16 Single-Population Hypothesis Tests...

This preview shows document pages 1 - 9. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online