Testing a Hypothesis about m, s Known Section 9.2

Feb 07, 2013

260 likes | 559 Views

2. Objectives 9.2. Understand the logic of hypothesis testingTest a hypothesis about m, with s known using the classical methodTest a hypothesis about m, with s known using the P-value approachTest a hypothesis about m, with s known using confidence intervals. 3. A Note about s. s is known in Sec

Share Presentation

Embed Code

Link

lynna

Download Presentation

Testing a Hypothesis about m, s Known Section 9.2

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

Section 9.2

Section 9.2. What You’ll Learn. How to explain the legal doctrine of public policy (p. 194) How to identify agreements that are contrary to public policy (p. 195) . What You’ll Learn. How to identify contracts that involve an unreasonable restraint of trade (p. 196)

616 views • 48 slides

Section 9.2

429 views • 31 slides

Section 9.2

Section 9.2. Ethical Behavior. WHAT YOU’LL LEARN. Why ethics are important in the workplace How you can behave ethically in the workplace. WHY IT’S IMPORTANT. Your ability to behave ethically in the workplace will enable you to earn the trust and respect of your employers and coworkers.

598 views • 35 slides

Section 9.2

Section 9.2. Testing the Mean . Testing the Mean  When  is Known. Let x be the appropriate random variable. Obtain a simple random sample (of size n ) of x values and compute the sample mean x .

691 views • 42 slides

Hypothesis Testing for the Mean: not known

Hypothesis Testing for the Mean: not known. Testing a Claim about a Mean: not Known. We first need to make sure we meet the requirements. The sample observations are a simple random sample. The value of the population standard deviation is not known Either the Population is normal, or

195 views • 6 slides

Section 9.2

Section 9.2. The Huntington-Hill Apportionment Principle. Objectives. Understand and use the Huntington-Hill Principle. The method currently being used in the U. S. House of Representatives. Key Concept:.

289 views • 14 slides

Section 8.4 Testing a claim about a mean ( σ known)

Section 8.4 Testing a claim about a mean ( σ known). Objective For a population with mean µ (with σ known ), use a sample (with a sample mean) to test a claim about the mean. Testing a mean (when σ known) uses the standard normal distribution ( z -distribution). Notation.

323 views • 14 slides

Testing a Hypothesis about means

Testing a Hypothesis about means. The contents in this chapter are from Chapter 12 to Chapter 14 of the textbook. Testing a single mean Testing two related means Testing two independent means. Testing a single mean.

616 views • 40 slides

SECTION 9.2

SECTION 9.2. CALCULUS WITH PARAMETRIC CURVES. TANGENTS. If dx / dt ≠ 0 , we can solve for dy / dx :. Example 1. A curve C is defined by the parametric equations x = t 2 , y = t 3 – 3 t. Show that C has two tangents at the point (3, 0) and find their equations.

421 views • 28 slides

Section 9.2

Math in Our World. Section 9.2. Measures of Area, Volume and Capacity. Learning Objectives. Convert units of area. Convert units of volume. English Conversions. English & Metric Equivalents. EXAMPLE 1 Converting Square Inches to Square Feet.

360 views • 16 slides

Section 8-5 Testing a Claim About a Mean:  Not Known

Section 8-5 Testing a Claim About a Mean:  Not Known. Key Concept. This section presents methods for testing a claim about a population mean when we do not know the value of σ . The methods of this section use the Student t distribution introduced earlier.

293 views • 17 slides

Section 9.2 ~ Hypothesis Tests for Population Means

Section 9.2 ~ Hypothesis Tests for Population Means. Introduction to Probability and Statistics Ms. Young. Objective. Sec. 9.2.

503 views • 16 slides

Section 9.2

Section 9.2. Linear Regression. Section 9.2 Objectives. Find the equation of a regression line Predict y -values using a regression equation. Regression lines.

250 views • 14 slides

Hypothesis : Statement about a parameter Hypothesis testing : decision making

Hypothesis : Statement about a parameter Hypothesis testing : decision making procedure about the hypothesis Null hypothesis : the main hypothesis H 0 Alternative hypothesis : not H 0 , H 1 , H A Two-sided alternative hypothesis, uses

513 views • 12 slides

Testing a hypothesis

Testing a hypothesis. (Session 09). Learning Objectives. By the end of this session, you will be able to set up and carry out a test of hypothesis concerning a population mean interpret the results of such a t-test explain what is meant by a p-value and how it may be interpreted

255 views • 15 slides

Hypothesis Testing for the Mean: known

Hypothesis Testing for the Mean: known. Testing a Claim about a Mean: Known. We first need to make sure we meet the requirements. The sample observations are a simple random sample. The value of the population standard deviation is known Either the Population is normal, or

282 views • 7 slides

Hypothesis Testing For  With  Known

Hypothesis Testing For  With  Known. HYPOTHESIS TESTING. Basic idea: You want to see whether or not your data supports a statement about a parameter of the population. The statement might be: The average age of night students is greater than 25 (  >25)

500 views • 30 slides

p-Values for Hypothesis Testing About  With  Known

p-Values for Hypothesis Testing About  With  Known. Hypothesis Testing (Revisited). Five Step Procedure 1. Define Opposing Hypotheses. 2. Choose a level of risk ( ) for making the mistake of concluding something is true when its not. 3. Set up test (Define Rejection Region).

464 views • 12 slides

Section 9.2

Section 9.2. What You’ll Learn. How to explain the legal doctrine of public policy (p. 194) How to identify agreements that are contrary to public policy (p. 195). What You’ll Learn. How to identify contracts that involve an unreasonable restraint of trade (p. 196)

546 views • 48 slides

Section 5 Hypothesis Testing

Section 5 Hypothesis Testing. William Christensen, Ph.D. What is a Hypothesis?. Hypothesis – (in statistics) a claim or statement about a property of a population. Example: a claim that the mean weight of men is greater than 175 lbs.

860 views • 83 slides

Section 9.2

Section 9.2. The Law of Sines. β. a. c. γ. α. b. THE LAW OF SINES. or. WHEN TO USE THE LAW OF SINES. (a) an angle-side-angle (ASA) triangle; an angle-angle-side (AAS) triangle; or a side-side-angle (SSA) triangle. The Law of Sines is used when you have:. SSA TRIANGLES.

132 views • 7 slides

Section 9.2 Tests About a Population Proportion

Section 9.2 Tests About a Population Proportion. Section 9.2 Tests About a Population Proportion. After this section, you should be able to… CHECK conditions for carrying out a test about a population proportion. CONDUCT a significance test about a population proportion.

327 views • 31 slides

More Related