P-value method One Proportion. The mayor of Pleasantville has just signed a contract allowing a biohazards company to build a waste disposal site on what.

Slides:



Advertisements
Similar presentations
1 One Tailed Tests Here we study the hypothesis test for the mean of a population when the alternative hypothesis is an inequality.
Advertisements

1 Normal Probability Distributions. 2 Review relative frequency histogram 1/10 2/10 4/10 2/10 1/10 Values of a variable, say test scores In.
Chapter 10 Section 2 Hypothesis Tests for a Population Mean
Testing Hypotheses About Proportions Chapter 20. Hypotheses Hypotheses are working models that we adopt temporarily. Our starting hypothesis is called.
5/15/2015Slide 1 SOLVING THE PROBLEM The one sample t-test compares two values for the population mean of a single variable. The two-sample test of a population.
12.1 Inference for A Population Proportion.  Calculate and analyze a one proportion z-test in order to generalize about an unknown population proportion.
Significance Testing Chapter 13 Victor Katch Kinesiology.
1 Test for the Population Proportion. 2 When we have a qualitative variable in the population we might like to know about the population proportion of.
1 Difference Between the Means of Two Populations.
1/55 EF 507 QUANTITATIVE METHODS FOR ECONOMICS AND FINANCE FALL 2008 Chapter 10 Hypothesis Testing.
The Normal Distribution
Statistics for Managers Using Microsoft Excel, 4e © 2004 Prentice-Hall, Inc. Chap 8-1 Chapter 8 Fundamentals of Hypothesis Testing: One-Sample Tests Statistics.
1 T-test for the Mean of a Population: Unknown population standard deviation Here we will focus on two methods of hypothesis testing: the critical value.
Chapter 8 Introduction to Hypothesis Testing
Business Statistics: A Decision-Making Approach, 6e © 2005 Prentice-Hall, Inc. Chap 8-1 TUTORIAL 6 Chapter 10 Hypothesis Testing.
1 Confidence Interval for Population Mean The case when the population standard deviation is unknown (the more common case).
Section 7-2 Hypothesis Testing for the Mean (n  30)
Hypothesis Testing: Two Sample Test for Means and Proportions
Significance Tests for Proportions Presentation 9.2.
Section 7-3 Hypothesis Testing for the Mean (Small Samples) Objective: SWBAT How to find critical values in a t- distribution. How to use the t-test to.
P-value Method 2 means, sigmas unknown. Sodium levels are measured in millimoles per liter (mmol/L) and a score between 136 and 145 is considered normal.
Traditional Method 2 means, σ’s known. The makers of a standardized exam have two versions of the exam: version A and version B. They believe the two.
P-value Method One Mean, sigma known. The average length of a certain insect has been determined to be.52 cm with a standard deviation of.03 cm. A researcher.
Test for Goodness of Fit. The math department at a community college offers 3 classes that satisfy the math requirement for transfer in majors that do.
Traditional Method 2 means, dependent samples. A data entry office finds itself plagued by inefficiency. In an attempt to improve things the office manager.
Traditional Method 2 proportions. The President of a homeowners’ association believes that pink flamingos on lawns are tacky, or as she puts it, “detrimental.
P-value method 1 mean, σ unknown. A student claims that the average statistics textbook has fewer than 650 pages. In a sample of 52 statistics texts,
One-way Analysis of Variance (ANOVA) Note: In this version, we’ll use Excel to do all the calculations. If you wanted the tutorial that worked through.
P-value method 2 means, both σ’s known. An economist is comparing credit card debt from two recent years. She has gathered the following data: Year 1.
P-value Method 2 proportions. A resident of a small housing complex has a pet monkey who likes to sit out on the porch and smoke cigarettes. Some of the.
P-value method dependent samples. A group of friends wants to compare two energy drinks. They agree to meet on consecutive Saturdays to run a mile. One.
Traditional Method One mean, sigma known. The Problem In 2004, the average monthly Social Security benefit for retired workers was $ with a standard.
8/23/2015Slide 1 The introductory statement in the question indicates: The data set to use: GSS2000R.SAV The task to accomplish: a one-sample test of a.
Traditional Method One Proportion. A researcher claims that the majority of the population supports a proposition raising taxes to help fund education.
Traditional method 2 means, σ’s unknown. Scientists studying the effect of diet on cognitive ability are comparing two groups of mice. The first group.
Chapter 10 Hypothesis Testing
Copyright © 2010, 2007, 2004 Pearson Education, Inc Lecture Slides Elementary Statistics Eleventh Edition and the Triola Statistics Series by.
Intermediate Statistical Analysis Professor K. Leppel.
Fundamentals of Hypothesis Testing: One-Sample Tests
Business Statistics: A Decision-Making Approach, 6e © 2005 Prentice-Hall, Inc. Chap th Lesson Introduction to Hypothesis Testing.
HAWKES LEARNING SYSTEMS Students Matter. Success Counts. Copyright © 2013 by Hawkes Learning Systems/Quant Systems, Inc. All rights reserved. Section 10.2.
Traditional Method 1 mean, sigma unknown. In a national phone survey conducted in May 2012, adults were asked: Thinking about social issues, would you.
HAWKES LEARNING SYSTEMS Students Matter. Success Counts. Copyright © 2013 by Hawkes Learning Systems/Quant Systems, Inc. All rights reserved. Section 10.2.
The Probability of a Type II Error and the Power of the Test
Hypothesis Testing: One Sample Cases. Outline: – The logic of hypothesis testing – The Five-Step Model – Hypothesis testing for single sample means (z.
Section 9.3 ~ Hypothesis Tests for Population Proportions Introduction to Probability and Statistics Ms. Young.
Chapter 8 Introduction to Hypothesis Testing ©. Chapter 8 - Chapter Outcomes After studying the material in this chapter, you should be able to: 4 Formulate.
Chapter 221 What Is a Test of Significance?. Chapter 222 Thought Question 1 The defendant in a court case is either guilty or innocent. Which of these.
Lecture 9 Chap 9-1 Chapter 2b Fundamentals of Hypothesis Testing: One-Sample Tests.
Copyright ©2013 Pearson Education, Inc. publishing as Prentice Hall 9-1 σ σ.
Unit 8 Section 8-3 – Day : P-Value Method for Hypothesis Testing  Instead of giving an α value, some statistical situations might alternatively.
Chap 8-1 Fundamentals of Hypothesis Testing: One-Sample Tests.
12.1 Inference for A Population Proportion.  Calculate and analyze a one proportion z-test in order to generalize about an unknown population proportion.
Testing Hypotheses about a Population Proportion Lecture 29 Sections 9.1 – 9.3 Fri, Nov 12, 2004.
Business Statistics for Managerial Decision Farideh Dehkordi-Vakil.
Testing Hypotheses about a Population Proportion Lecture 29 Sections 9.1 – 9.3 Wed, Nov 1, 2006.
Testing Hypotheses about a Population Proportion Lecture 31 Sections 9.1 – 9.3 Wed, Mar 22, 2006.
Introduction to Hypothesis Testing
Tests of Significance: The Basics ESS chapter 15 © 2013 W.H. Freeman and Company.
A 10 Step Quest Every Time!. Overview When we hypothesis test, we are trying to investigate whether or not a sample provides strong evidence of something.
Chapter Ten McGraw-Hill/Irwin © 2006 The McGraw-Hill Companies, Inc., All Rights Reserved. One-Sample Tests of Hypothesis.
11.1 Chi-Square Tests for Goodness of Fit Objectives SWBAT: STATE appropriate hypotheses and COMPUTE expected counts for a chi- square test for goodness.
AP Test Practice. A student organization at a university is interested in estimating the proportion of students in favor of showing movies biweekly instead.
Chapters 20, 21 Hypothesis Testing-- Determining if a Result is Different from Expected.
Hypothesis Testing for Proportions
Hypothesis Tests for 1-Sample Proportion
Hypothesis Testing: Two Sample Test for Means and Proportions
Testing Hypotheses about a Population Proportion
Testing Hypotheses about a Population Proportion
Testing Hypotheses about a Population Proportion
Presentation transcript:

P-value method One Proportion

The mayor of Pleasantville has just signed a contract allowing a biohazards company to build a waste disposal site on what used to be the city’s one and only park. The mayor’s main opponent in the upcoming election claims that 90% of the town is angry over the mayor’s decision. In a survey of 50 residents, 44 responded that they were angry. Evaluate the claim using the P-value method with α=.01.

If you want to try this problem on your own and just check your answer, click on the teacher to the right. Otherwise, click away from her and we’ll work through this together.

Set-up This test is about one proportion, the proportion of people in the town who are angry about the mayor’s decision. Here’s what we know. Population p = ? This is what the hypotheses will be about!

Set-up This test is about one proportion, the proportion of people in the town who are angry about the mayor’s decision. Here’s what we know. Population p = ?

Step 1: State the hypotheses and identify the claim. We are asked to evaluate the claim that the 90% of the town’s residents are angry at the mayor. That is: proportion who are angry =.9 That’s p! Remember to convert 90% to a decimal!

p =.9 I declare this to be the Null Hypothesis! It has an equals sign in it!

Step 1 Whenever the Null Hypothesis is the claim, we get the Alternate Hypothesis by simply negating it.

Step (*) Draw the picture and mark off the observed value.

Do we know we have a normal distribution? With proportions, we have to investigate!

Remember: n = 50 p =.9 q = 1 - p = =.1 To check for normality:

Step (*) Since we have a normal distribution, draw the picture Top level: Area Middle Level: Standard Units (z) We always use z-values when working with proportions.

Step (*) Since we have a normal distribution, draw the picture Top level: Area Middle Level: Standard Units (z) 0 The center is always 0 in standard units.

Step (*) Since we have a normal distribution, draw the picture Top level: Area Middle Level: Standard Units (z)0 Bottom Level: Actual values There are no units for proportions.

Step (*) Since we have a normal distribution, draw the picture Top level: Area Middle Level: Standard Units (z)0 Bottom Level: Actual values.9 The number from the Null Hypothesis always goes in the center of the bottom level; that’s because we’re drawing the picture as if the Null is true.

Then remember: The -value Method P is ottom-up b

Step (*) Standard Units (z)0 Actual values.9 Once we have the normal distribution, start at the Bottom level and mark off the observed value,.88. Bottom level <.9 so it goes on the left side

Step (*) Standard Units (z)0 Actual values.9.88 Once we have the normal distribution, start at the Bottom level and mark off the observed value,.88.

Step (2): Move up to the middle level. Convert the observed value to standard units and mark this off. Standard Units (z) 0 Actual values.9.88 Middle level: The observed value converted to standard units is called the test value. It goes here.

This is the formula for the standard error in the distribution of sample proportions.

Let’s add it to our picture! Standard Units (z) 0 Actual values.9.88 Middle level: Note that the boundary of the right tail is.47; marking this off is optional.

Step 3: Move up to the top level and find the area in the tails. The total area is our P-value. Standard Units (z) 0 Actual values Top level: Area

We have two options for finding the P-value: we can use Table E or the calculator. Table E Calculator Click on the option you prefer.

We can use the left side of Table E to find the area in the left tail. Let’s zoom in!

Note: the picture above omits a number of rows from Table E so that the remaining rows can be shown on a larger scale

The area in the left tail is This means the area in the right tail is also P = total area in both tails = 2(.3192) =.6384 Standard Units (z) 0 Actual values Top level: Area.3192

I say we reject the sucker! Lighten up! Let’s not reject it too hastily. You know I hate making decisions!

Pα > The probability we would get the result we did (if the Null is true) is bigger than α.

Don’t reject the Null. Told ya!

Step 5: Answer the question. Talk about the claim. Since the claim is the Null Hypothesis, continue using the language of “rejection”. We did not reject the Null, so we do not reject the claim. There is not enough evidence to reject the claim that 90% of the population is angry at the mayor.

Could we see that one more time?

Standard units (z) 0 Actual value.9 Each click will give you one step. Step (*) is broken into two clicks. Step 1: Step (*).88 Step Step Step 4: Don’t reject the Null. Step 5: There is not enough evidence to reject the claim.

And there was much rejoicing.

Press the escape key to exit the slide show. If you keep clicking through the presentation, you’ll view the slides where we calculate the P-value using the calculator instead of Table E.

With the calculator, there’s no need to round the critical value, so be sure you’ve still got the calculated critical value displayed on your screen. Then hit the “shift” key followed by the “3” key.

You’ll see this menu. LEFT MIDDLE RIGHT

Since our test value was negative, it is the boundary of the left tail. So type “1” to get the area to its left, which will be the area in the left tail. LEFT

You’ll see P( at the top of your screen. If you remembered not to delete the critical value, you’ll see it on the screen just below this. Hit the “Ans” key to enter this as the z-value. You should get

The area in the left tail is This means the area in the right tail is also P = total area in both tails = 2(.31868) = Standard Units (z) 0 Actual values ….47… Top level: Area.31868

I say we reject the sucker! Lighten up! Let’s not reject it too hastily. You know I hate making decisions!

Pα > The probability we would get the result we did (if the Null is true) is bigger than α.

Don’t reject the Null. Told ya!

Step 5: Answer the question. Talk about the claim. Since the claim is the Null Hypothesis, continue using the language of “rejection”. We did not reject the Null, so we do not reject the claim. There is not enough evidence to reject the claim that 90% of the population is angry at the mayor.

Could we see that one more time?

Standard units (z) 0 Actual value.9 Each click will give you one step. Step (*) is broken into two clicks. Step 1: Step (*).88 Step ….47… Step Step 4: Don’t reject the Null. Step 5: There is not enough evidence to reject the claim.

And there was much rejoicing.