For her project, Maria bought 50 small bags of jelly beans. The average number of jelly beans in a small bag is 27. It is known that the standard deviation.

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

Hypothesis Test for Proportions Section 10.3 One Sample.
The Proper Conclusion to a Significance Test. Luke Wilcox is an “acorn” at the 2013 AP Statistics reading. After three days of scoring, his table leader.
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.
© 2001 Prentice-Hall, Inc.Chap 9-1 BA 201 Lecture 15 Test for Population Mean Known.
Hypothesis Testing Steps of a Statistical Significance Test. 1. Assumptions Type of data, form of population, method of sampling, sample size.
T-Tests Lecture: Nov. 6, 2002.
Hypothesis Testing for the Mean and Variance of a Population Introduction to Business Statistics, 5e Kvanli/Guynes/Pavur (c)2000 South-Western College.
Hypothesis Testing Sample Means. Hypothesis Testing for Sample Means The goal of a hypothesis test is to make inferences regarding unknown population.
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.
BCOR 1020 Business Statistics Lecture 20 – April 3, 2008.
Section 7-2 Hypothesis Testing for the Mean (n  30)
Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall Statistics for Business and Economics 8 th Edition Chapter 9 Hypothesis Testing: Single.
Significance Tests for Proportions Presentation 9.2.
Hypothesis Testing For a Single Population Mean. Example: Grade inflation? Population of 5 million college students Is the average GPA 2.7? Sample of.
How tired are students in the morning ? Jose Almanza Period
7.2 Hypothesis Testing for the Mean (Large Samples Statistics Mrs. Spitz Spring 2009.
Overview of Statistical Hypothesis Testing: The z-Test
Claims about a Population Mean when σ is Known Objective: test a claim.
Chapter 8 Hypothesis Testing. Section 8-1: Steps in Hypothesis Testing – Traditional Method Learning targets – IWBAT understand the definitions used in.
Means Tests Hypothesis Testing Assumptions Testing (Normality)
1 Today Null and alternative hypotheses 1- and 2-tailed tests Regions of rejection Sampling distributions The Central Limit Theorem Standard errors z-tests.
Section 7.2 Hypothesis Testing for the Mean (Large Samples) Larson/Farber 4th ed.
Hypothesis Testing for the Mean (Large Samples)
AP Statistics Section 11.2 A Inference Toolbox for Significance Tests
Hypothesis Testing for the Mean ( Known)
Chapter 12 Tests of a Single Mean When σ is Unknown.
Hypothesis Testing with One Sample Chapter 7. § 7.2 Hypothesis Testing for the Mean (Large Samples)
Copyright © 2010, 2007, 2004 Pearson Education, Inc Chapter 12 Analysis of Variance 12.2 One-Way ANOVA.
STEP BY STEP Critical Value Approach to Hypothesis Testing 1- State H o and H 1 2- Choose level of significance, α Choose the sample size, n 3- Determine.
Slide Slide 1 Section 8-6 Testing a Claim About a Standard Deviation or Variance.
The average work week for employees in an internet start up company is believed to be about 65 hours. A newly hired marketing employee hopes that it is.
Copyright © 2006 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide
Section 9.2 Hypothesis Testing Proportions P-Value.
Introduction to Inferece BPS chapter 14 © 2010 W.H. Freeman and Company.
HAWKES LEARNING SYSTEMS Students Matter. Success Counts. Copyright © 2013 by Hawkes Learning Systems/Quant Systems, Inc. All rights reserved. Example 10.17:
SECTION 7.2 Hypothesis Testing for the Mean (Large Samples) 1 Larson/Farber 4th ed.
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.
Slide Slide 1 Section 8-4 Testing a Claim About a Mean:  Known.
What Is The Average Hours You Spend On Your Phone Daily? Cristian Barrios Jacky Cortez Maria Canongo Period 2 Year ( )
1 BA 275 Quantitative Business Methods Quiz #3 Statistical Inference: Hypothesis Testing Types of a Test P-value Agenda.
Making Decisions about a Population Mean with Confidence Lecture 33 Sections 10.1 – 10.2 Fri, Mar 30, 2007.
Aim: How do we use a t-test?
A course is designed to increase mathematical comprehension. In order to evaluate the effectiveness of the course, students are given a test before and.
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.
Statistical Inference Drawing conclusions (“to infer”) about a population based upon data from a sample. Drawing conclusions (“to infer”) about a population.
© 2013 Pearson Education, Inc. Active Learning Lecture Slides For use with Classroom Response Systems Introductory Statistics: Exploring the World through.
On average how many phones have you had since your first phone? Jesus Guerrero Period
Testing a Single Mean Module 16. Tests of Significance Confidence intervals are used to estimate a population parameter. Tests of Significance or Hypothesis.
Hypothesis Testing Steps for the Rejection Region Method State H 1 and State H 0 State the Test Statistic and its sampling distribution (normal or t) Determine.
STEP BY STEP Critical Value Approach to Hypothesis Testing 1- State H o and H 1 2- Choose level of significance, α Choose the sample size, n 3- Determine.
Chapter 9: Hypothesis Tests for One Population Mean 9.2 Terms, Errors, and Hypotheses.
Introduction to Inference Tests of Significance. Wording of conclusion revisit If I believe the statistic is just too extreme and unusual (P-value < 
1 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.
Section 7.2 Hypothesis Testing for the Mean (Large Samples) © 2012 Pearson Education, Inc. All rights reserved. 1 of 101.
Hypothesis Testing Involving One Population Chapter 11.
Ex St 801 Statistical Methods Part 2 Inference about a Single Population Mean (HYP)
Section 7.2 Hypothesis Testing for the Mean (Large Samples) © 2012 Pearson Education, Inc. All rights reserved. 1 of 31.
Chapter 7 Hypothesis Testing with One Sample.
Statistics 201 – Lecture 24.
Hypothesis Test for Independent Groups Two Means
Example 5 The supervisor of a production line that assembles
Chapter 7 Hypothesis Testing with One Sample.
Example 5 The supervisor of a production line that assembles
Hypothesis Test for Independent Groups Two Proportions
I have 0 Jelly Beans I need Jelly Beans.
Hypothesis Testing for Proportions
Presentation transcript:

For her project, Maria bought 50 small bags of jelly beans. The average number of jelly beans in a small bag is 27. It is known that the standard deviation is 3 jelly beans. Maria conducts a hypothesis test to determine if the average number of jelly beans in a small bag is more than 25. The level of significance is 1%. H o : µ ≤ 25H a : µ > 25

= the average number of jelly beans in a small bag of jelly beans. Distribution for the Test: Normal for Averages

Test statistic: z = 4.71 Standardized score, z-score, for p-value: USE A ZTEST.

Decision: REJECT H 0. Conclusion: There is sufficient evidence to conclude that the average number of jelly beans in a small bag is more than 25.