Basics of Hypothesis Testing 8.2 Day 2. Homework Answers.

Slides:



Advertisements
Similar presentations
Four girls soccer teams took a random sample of players regarding the number of goals scored per game. The results are below. Use a significance level.
Advertisements

More about Tests! Remember, you are not proving or accepting the null hypothesis. Most of the time, the null means no difference or no change from the.
Basics of Hypothesis Testing 8.2 Day 1. Introductory Activity Put a tally mark next to the term that most accurately describes you: Blue eyes: Not blue.
Testing a Claim about a Proportion Assumptions 1.The sample was a simple random sample 2.The conditions for a binomial distribution are satisfied 3.Both.
Hypothesis Testing making decisions using sample data.
Hypothesis Testing A hypothesis is a claim or statement about a property of a population (in our case, about the mean or a proportion of the population)
Ch. 21 Practice.
Chapter 20 Testing Hypotheses about Proportions. Hypothesis Testing: used to assess the evidence provided by data in favor of some claim about the population.
STAT 135 LAB 14 TA: Dongmei Li. Hypothesis Testing Are the results of experimental data due to just random chance? Significance tests try to discover.
Hypothesis Testing Steps of a Statistical Significance Test. 1. Assumptions Type of data, form of population, method of sampling, sample size.
Stat Day 16 Observations (Topic 16 and Topic 14)
Evaluating Hypotheses Chapter 9 Homework: 1-9. Descriptive vs. Inferential Statistics n Descriptive l quantitative descriptions of characteristics ~
8-2 Basics of Hypothesis Testing
Section 7-2 Hypothesis Testing for the Mean (n  30)
Significance Tests for Proportions Presentation 9.2.
Statistical Inference Decision Making (Hypothesis Testing) Decision Making (Hypothesis Testing) A formal method for decision making in the presence of.
Warm-up Day of 8.1 and 8.2 Quiz and Types of Errors Notes.
Copyright © 2010, 2007, 2004 Pearson Education, Inc Lecture Slides Elementary Statistics Eleventh Edition and the Triola Statistics Series by.
Testing Hypotheses About Proportions
Means Tests Hypothesis Testing Assumptions Testing (Normality)
Analysis & Interpretation: Individual Variables Independently Chapter 12.
HOMEWORK P.410:  33) ; reject the null hypothesis.  34) ; fail to reject the null hypothesis  35) ; reject the null hypothesis  36)
Statistical Inference Decision Making (Hypothesis Testing) Decision Making (Hypothesis Testing) A formal method for decision making in the presence of.
Section 10.3 Hypothesis Testing for Means (Large Samples) HAWKES LEARNING SYSTEMS math courseware specialists Copyright © 2008 by Hawkes Learning Systems/Quant.
Hypothesis Testing for Proportions
Section Copyright © 2014, 2012, 2010 Pearson Education, Inc. Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series.
When should you find the Confidence Interval, and when should you use a Hypothesis Test? Page 174.
AP Statistics Chapter 22 Notes “Comparing Two Proportions”
Copyright © 2010, 2007, 2004 Pearson Education, Inc Section 8-2 Basics of Hypothesis Testing.
Section 9.2 Hypothesis Testing Proportions P-Value.
S-012 Testing statistical hypotheses The CI approach The NHST approach.
10.1: Confidence Intervals Falls under the topic of “Inference.” Inference means we are attempting to answer the question, “How good is our answer?” Mathematically:
HAWKES LEARNING SYSTEMS Students Matter. Success Counts. Copyright © 2013 by Hawkes Learning Systems/Quant Systems, Inc. All rights reserved. Example 10.17:
The z test statistic & two-sided tests Section
Section 3.3: The Story of Statistical Inference Section 4.1: Testing Where a Proportion Is.
Section A Confidence Interval for the Difference of Two Proportions Objectives: 1.To find the mean and standard error of the sampling distribution.
Unit 8 Section 8-3 – Day : P-Value Method for Hypothesis Testing  Instead of giving an α value, some statistical situations might alternatively.
Slide Slide 1 Section 8-4 Testing a Claim About a Mean:  Known.
1 CHAPTER 4 CHAPTER 4 WHAT IS A CONFIDENCE INTERVAL? WHAT IS A CONFIDENCE INTERVAL? confidence interval A confidence interval estimates a population parameter.
Copyright © 2011 Pearson Education, Inc. Putting Statistics to Work.
Logic and Vocabulary of Hypothesis Tests Chapter 13.
Hypothesis Testing Errors. Hypothesis Testing Suppose we believe the average systolic blood pressure of healthy adults is normally distributed with mean.
We’ve learned: 1) Hypothesis testing for population mean when population variance is known ( Z-test ) ( large sample size or assume population is normal.
Inference with Proportions Review Mr. Hardin AP STATS 2015.
Inference on Proportions. Assumptions: SRS Normal distribution np > 10 & n(1-p) > 10 Population is at least 10n.
Statistical Significance Victor I. Piercey February 9, 2010.
© 2013 Pearson Education, Inc. Active Learning Lecture Slides For use with Classroom Response Systems Introductory Statistics: Exploring the World through.
Tests of Significance: Stating Hypothesis; Testing Population Mean.
Tests of Significance: The Basics ESS chapter 15 © 2013 W.H. Freeman and Company.
Testing a Single Mean Module 16. Tests of Significance Confidence intervals are used to estimate a population parameter. Tests of Significance or Hypothesis.
The Idea of the Statistical Test. A statistical test evaluates the "fit" of a hypothesis to a sample.
If we fail to reject the null when the null is false what type of error was made? Type II.
Chapter 20 Testing Hypotheses about Proportions. Hypothesis Testing: used to assess the evidence provided by data in favor of some claim about the population.
Chapter 9: Hypothesis Tests for One Population Mean 9.2 Terms, Errors, and Hypotheses.
PEP-PMMA Training Session Statistical inference Lima, Peru Abdelkrim Araar / Jean-Yves Duclos 9-10 June 2007.
Chapter 20 Testing Hypotheses About Proportions. confidence intervals and hypothesis tests go hand in hand:  A confidence interval shows us the range.
More about tests and intervals CHAPTER 21. Do not state your claim as the null hypothesis, instead make what you’re trying to prove the alternative. The.
SWBAT: -Determine whether to use a one or two tailed test and calculate the necessary p-value -Make and interpret a decision based on the results of a.
Slide Slide 1 Hypothesis Testing 8-1 Overview 8-2 Basics of Hypothesis Testing Chapter 8.
Hypothesis Testing Concepts of Hypothesis Testing Statistical hypotheses – statements about population parameters Examples mean weight of adult.
Hypothesis Testing for Proportions
Testing a Claim About a Mean:  Known
Week 11 Chapter 17. Testing Hypotheses about Proportions
Chapter Review Problems
P-value Approach for Test Conclusion
Statistical Inference
Hypothesis Tests One Sample Means
CHAPTER 12 Inference for Proportions
CHAPTER 12 Inference for Proportions
Interpreting Computer Output
Presentation transcript:

Basics of Hypothesis Testing 8.2 Day 2

Homework Answers

Example Consider the Microsort example. The null hypothesis is that p = 0.5. The sample that is returned shows that 13 out of 14 children whose parents used the product were girls. Find the test statistic that would be used to challenge the null hypothesis.

The P-Value Method

P-Values

Example Given that our test statistic is z = 3.21 for the Microsort problem (remember that the alternative hypothesis is p > 0.5). What is the P-value?

Practice

The P-Value Method

When to Reject

Example

The P-Value Method

Conclusions You can either reject the null hypothesis, or fail to reject it. (which suggests that the alternative hypothesis is true) There is no way to prove the null hypothesis. You must state your conclusion such that someone with no background in statistics could understand. There is sufficient evidence to reject the claim that parents who use Microsort will have girls 50% of the time. The sample data support the claim that Microsort improves the probability of having a baby girl.

Side Note: Confidence Interval Method If you can create a confidence interval using the sample statistic, and it does not contain the value for the parameter given by the null hypothesis, you can reject the null hypothesis.

Homework p.410: P-Value/Reject: #33-36 Conclusion: #38-39

Homework P.409: P-Value/Reject: ; reject the null hypothesis ; fail to reject the null hypothesis ; reject the null hypothesis ; reject the null hypothesis Conclusion: There is sufficient evidence to support the claim that the percentage of on-time U.S. airlines flights is less than 75%. 39. There is not sufficient evidence to warrant rejection of the claim that the percentage of Americans who know their credit score is equal to 20%.