Testing a Hypothesis about m, s Known Section 9.2

Feb 07, 2013

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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

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Testing a Hypothesis about m, s Known Section 9.2

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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)

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Section 9.2

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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.

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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 .

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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

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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:.

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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.

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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.

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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.

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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.

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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.

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Section 9.2 ~ Hypothesis Tests for Population Means

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Section 9.2

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Hypothesis : Statement about a parameter Hypothesis testing : decision making

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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

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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

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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)

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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).

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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)

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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.

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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.

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Section 9.2 Tests About a Population Proportion

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