Topic 20 Examples Check of Answers.

Slides:



Advertisements
Similar presentations
(Hypothesis test for small sample sizes)
Advertisements

Topics
11.1 – Significance Tests: The basics
2 nd type of inference Assesses the evidence provided by the data in favor of some claim about the population Asks how likely an observed outcome would.
Choosing Significance Level Section Starter At the local bakery, loaves of bread are supposed to weigh 1 pound, with standard deviation 0.13.
Statistical Significance What is Statistical Significance? What is Statistical Significance? How Do We Know Whether a Result is Statistically Significant?
Chapter 9 Hypothesis Testing Testing Hypothesis about µ, when the s.t of population is known.
Statistical Significance What is Statistical Significance? How Do We Know Whether a Result is Statistically Significant? How Do We Know Whether a Result.
BCOR 1020 Business Statistics Lecture 22 – April 10, 2008.
BCOR 1020 Business Statistics Lecture 21 – April 8, 2008.
HYPOTHESIS TESTS ABOUT THE MEAN AND PROPORTION
8-4 Testing a Claim About a Mean
Testing the Difference Between Means (Small Independent Samples)
Modular 17 Ch 10.2 Part II and Ch 10.3 Part II.
Test for a Mean. Example A city needs $32,000 in annual revenue from parking fees. Parking is free on weekends and holidays; there are 250 days in which.
Chapter 9 Hypothesis Testing.
Business Statistics - QBM117 Testing hypotheses about a population mean.
Chi-square Goodness of Fit Test
Descriptive statistics Inferential statistics
Section 9.1 Introduction to Statistical Tests 9.1 / 1 Hypothesis testing is used to make decisions concerning the value of a parameter.
Claims about a Population Mean when σ is Known Objective: test a claim.
Aim: How do we test a comparison group? Exam Tomorrow.
More About Significance Tests
Section 9.2 Testing the Mean  9.2 / 1. Testing the Mean  When  is Known Let x be the appropriate random variable. Obtain a simple random sample (of.
Unit 8 Section : z Test for a Mean  Many hypotheses are tested using the generalized statistical formula: Test value = (Observed Value)-(expected.
Hypothesis Testing for Variance and Standard Deviation
Hypothesis Testing with One Sample Chapter 7. § 7.3 Hypothesis Testing for the Mean (Small Samples)
Topic 7 - Hypothesis tests based on a single sample Sampling distribution of the sample mean - pages Basics of hypothesis testing -
Comparing Two Variances
Dan Piett STAT West Virginia University Lecture 10.
Lecture 16 Section 8.1 Objectives: Testing Statistical Hypotheses − Stating hypotheses statements − Type I and II errors − Conducting a hypothesis test.
Statistical Significance The power of ALPHA. “ Significant ” in the statistical sense does not mean “ important. ” It means simply “ not likely to happen.
ERRORS: TYPE 1 (  ) TYPE 2 (  ) & POWER Federal funds are to be allocated for financial aid to students for the cost of books. It is believe the mean.
Example Suppose we want to prove that the mean commute time for people in Lexington to get to work is less than 20 minutes. A random sample of 125 people.
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.
AP Process Test of Significance for Population Proportion.
Understanding Basic Statistics Fourth Edition By Brase and Brase Prepared by: Lynn Smith Gloucester County College Chapter Nine Hypothesis Testing.
Assumptions and Conditions –Randomization Condition: The data arise from a random sample or suitably randomized experiment. Randomly sampled data (particularly.
T tests comparing two means t tests comparing two means.
Tests of Significance -how to put them in writing.
Do 1 problem in which you do a 1-sample hypothesis test with statistics (mean). Veronica Coronado Sandra Gomez.
Chapter 9 Hypothesis Testing Understanding Basic Statistics Fifth Edition By Brase and Brase Prepared by Jon Booze.
Hypothesis Testing Concepts of Hypothesis Testing Statistical hypotheses – statements about population parameters Examples mean weight of adult.
Independent Samples: Comparing Means Lecture 39 Section 11.4 Fri, Apr 1, 2005.
Chapter Nine Hypothesis Testing.
Testing the Difference between Means and Variances
Chapter 7 Hypothesis Testing with One Sample.
Chapter 7 Hypothesis Testing with One Sample.
Tests of Significance The reasoning of significance tests
Math 4030 – 10a Tests for Population Mean(s)
Monthly utility bills factor into local cost of living measures
Hypothesis Tests Small Sample Mean
Hypothesis Testing for Proportions
Chapter 8 Hypothesis Testing with Two Samples.
One sample t-test and z-test
Hypothesis Testing: Hypotheses
Chapter 9 Testing A Claim
Elementary Statistics: Picturing The World
Chapter 7 Hypothesis Testing with One Sample.
Chapter 7 Hypothesis Testing with One Sample.
LESSON 20: HYPOTHESIS TESTING
Chapter Nine Part 1 (Sections 9.1 & 9.2) Hypothesis Testing
Power of a Test.
Elementary Statistics: Picturing The World
Hypothesis Tests for a Standard Deviation
Hypothesis Testing for Proportions
Chapter 16 Single-Population Hypothesis Tests
Additional Topics Regarding Hypothesis Testing
Presentation transcript:

Topic 20 Examples Check of Answers

A test of significance for a population mean (with σ unknown) At the bakery where you work, loaves of bread are supposed to weigh 1 pound. You believe that new personnel are producing loaves that are heavier than 1 pound. As supervisor of quality control, you want to test your hypotheses at the 5% significance level. You decide to take a random sample of 20 loaves, and you obtain a mean weight of 1.05 pounds, with a standard deviation of 0.13 pounds. Perform the test of significance. A test of significance for a population mean (with σ unknown) Random sample from pop.? Stated random n≥30 or pop. normal? n=20 and pop. unknown n<30 and sample data approx. normal? Data unknown Results may be questionable. Ho: µ=1 The mean weight of a loaf of bread is 1 pound. Ha: µ>1 The mean weight of a loaf of bread is greater than 1 pound. Test Statistic: P(t19 > 1.72) = .0508 = 1.72

P-value ≈ α either decision would be OK At the bakery where you work, loaves of bread are supposed to weigh 1 pound. You believe that new personnel are producing loaves that are heavier than 1 pound. As supervisor of quality control, you want to test your hypotheses at the 5% significance level. You decide to take a random sample of 20 loaves, and you obtain a mean weight of 1.05 pounds, with a standard deviation of 0.13 pounds. Perform the test of significance. Because the p-value is larger than 5%, I fail to reject the null hypothesis. I do not have strong enough evidence to conclude that the mean weight of a loaf of bread is greater than 1 pound. P-value ≈ α either decision would be OK

Test of significance for a population mean (with sigma known) A local chamber of commerce claims that the mean family income level in a city is $12,250 with a standard deviation of $3180. An economist, thinking that the claim is too high, runs a hypothesis test, using a sample of 135 families, and finds a mean of $11,500. Should the chamber of commerce readjust their claim? Test of significance for a population mean (with sigma known) Requirements: Random sample from pop.? Not stated (assume random??) n≥30 or pop. normal? n = 135 Results should be valid. Ho: µ=12,250 The mean family income level in a city is $12,250 Ha: µ<12,250 The mean family income level in a city is less than $12,250

Continued… Because the p-value is less than 5% (alpha), we reject the null hypothesis and state there is strong enough evidence to conclude that the mean family income level in this city is less than $12,250.

Test of significance for a population mean (with sigma unknown) Great white sharks are big and hungry. The lengths in feet of 44 great whites are in a list that you have been given. Is there significant evidence at the 5% level to reject the claim “Great white sharks average 20 feet in length.”? Test of significance for a population mean (with sigma unknown) Requirements: Random sample from pop.? Not stated, unknown n≥30 or pop. normal? n = 44 Results may be questionable. Ho: µ=20 Great white sharks average 20 feet in length. Ha: µ≠20 Great white sharks do not average 20 feet in length.

Continued… with df = 43 Because the p-value is less than 5%, we reject the null hypothesis and state that there is strong enough evidence to conclude that great white sharks do not average 20 feet in length.