* Conducting an appropriately designed experiment/study to test the notion that males can make a quarter spin longer than females*

Slides:



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

Statistics Review – Part II Topics: – Hypothesis Testing – Paired Tests – Tests of variability 1.
Hypothesis Testing IV Chi Square.
Comparing Two Population Means The Two-Sample T-Test and T-Interval.
Hypothesis Testing Using a Single Sample
Chapter 11: Inference for Distributions
© 1999 Prentice-Hall, Inc. Chap Chapter Topics Hypothesis Testing Methodology Z Test for the Mean (  Known) p-Value Approach to Hypothesis Testing.
Getting Started with Hypothesis Testing The Single Sample.
INFERENTIAL STATISTICS – Samples are only estimates of the population – Sample statistics will be slightly off from the true values of its population’s.
McGraw-Hill/IrwinCopyright © 2009 by The McGraw-Hill Companies, Inc. All Rights Reserved. Chapter 9 Hypothesis Testing.
Claims about a Population Mean when σ is Known Objective: test a claim.
AP Statistics Section 10.1 B CI for Population Mean When is Known.
Inference about Two Population Standard Deviations.
Copyright © Cengage Learning. All rights reserved. 10 Inferences Involving Two Populations.
Lesson 11 - R Review of Testing a Claim. Objectives Explain the logic of significance testing. List and explain the differences between a null hypothesis.
Created by Erin Hodgess, Houston, Texas Section 7-5 Testing a Claim About a Mean:  Not Known.
+ The Practice of Statistics, 4 th edition – For AP* STARNES, YATES, MOORE Chapter 9: Testing a Claim Section 9.3a Tests About a Population Mean.
McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved. Statistical Inferences Based on Two Samples Chapter 9.
Significance Tests in practice Chapter Tests about a population mean  When we don’t know the population standard deviation σ, we perform a one.
Introduction to Statistical Inference Probability & Statistics April 2014.
The Practice of Statistics Third Edition Chapter 11: Inference for Distributions Copyright © 2008 by W. H. Freeman & Company Daniel S. Yates.
Introduction to Hypothesis Testing: One Population Value Chapter 8 Handout.
10.1: Confidence Intervals – The Basics. Introduction Is caffeine dependence real? What proportion of college students engage in binge drinking? How do.
Confidence intervals are one of the two most common types of statistical inference. Use a confidence interval when your goal is to estimate a population.
Chapter 11 Inference for Tables: Chi-Square Procedures 11.1 Target Goal:I can compute expected counts, conditional distributions, and contributions to.
Copyright © 2013, 2010 and 2007 Pearson Education, Inc. Section Inference about Two Means: Independent Samples 11.3.
1 Section 8.3 Testing a claim about a Proportion Objective For a population with proportion p, use a sample (with a sample proportion) to test a claim.
The Distribution of Blue M&Ms By Samantha Boccard & Adrienne Umali.
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:
BPS - 3rd Ed. Chapter 161 Inference about a Population Mean.
Quarter Spin: How long does your spin last? Bridget Sanelli Kim Lor Mrs. McNelis Block 3 AP Statistics.
Test of Goodness of Fit Lecture 43 Section 14.1 – 14.3 Fri, Apr 8, 2005.
AP Statistics Chapter 24 Comparing Means.
1 Objective Compare of two population variances using two samples from each population. Hypothesis Tests and Confidence Intervals of two variances use.
Logic and Vocabulary of Hypothesis Tests Chapter 13.
Testing Hypotheses about a Population Proportion Lecture 31 Sections 9.1 – 9.3 Wed, Mar 22, 2006.
Applied Quantitative Analysis and Practices LECTURE#14 By Dr. Osman Sadiq Paracha.
AP Statistics.  If our data comes from a simple random sample (SRS) and the sample size is sufficiently large, then we know that the sampling distribution.
© 2010 Pearson Prentice Hall. All rights reserved Chapter Hypothesis Tests Regarding a Parameter 10.
Michelle Ji, Samantha Shober, April Zhang Block 4 16 May 2011.
CRAZY CORE SKITTLES. The Purpose  It is stated that the Crazy Cores Skittles Company have 56.7 grams of Skittles in each bag. Is this accurate?  The.
Essential Statistics Chapter 171 Two-Sample Problems.
Section 10.4: Hypothesis Tests for a Population Mean.
Hypothesis Tests for a Population Standard Deviation.
AP Statistics Chapter 13 Section 1. 2 kinds of Chi – Squared tests 1.Chi-square goodness of fit – extends inference on proportions to more than 2 proportions.
Dominate versus Non-Dominate Hand Rochelle Mills and Courtney Preister.
Copyright © 2013, 2010 and 2007 Pearson Education, Inc. Chapter Hypothesis Tests Regarding a Parameter 10.
Hypothesis Testing.
Hypothesis Testing – Two Population Variances
Review of Testing a Claim
Hypothesis Testing for Proportions
Testing Hypotheses about a Population Proportion
CRAZY CORE SKITTLES By Rachel Collins
Inference about Two Means: Dependent Samples
Two-sided p-values (1.4) and Theory-based approaches (1.5)
Chapter 9 Hypothesis Testing
Hypothesis Testing.
Statistical Inference about Regression
YOU HAVE REACHED THE FINAL OBJECTIVE OF THE COURSE
Hypothesis Tests for a Population Mean
Hypothesis Tests for Two Population Standard Deviations
Testing Hypotheses about a Population Proportion
Essential Statistics Two-Sample Problems - Two-sample t procedures -
Hypothesis Testing S.M.JOSHI COLLEGE ,HADAPSAR
Inference for Who? Students at I.S.U. What? Time (minutes).
YOU HAVE REACHED THE FINAL OBJECTIVE OF THE COURSE
Testing Hypotheses about a Population Proportion
Inference about Two Means: Dependent Samples
Testing Hypotheses about a Population Proportion
STATISTICS INFORMED DECISIONS USING DATA
Presentation transcript:

* Conducting an appropriately designed experiment/study to test the notion that males can make a quarter spin longer than females*

Null Hypothesis (H o ): Males and females can equally make a quarter spin for the same length of time Alternative Hypothesis (H a ): Males can make a quarter spin longer than females can.

Data Collection Process Simple random sample (size 40) Selection bias-convenience sampling males 20 females To reduce the effect of any lurking variables… One method to spin quarter (use index of one and the thumb of the other hand) Same quarter (every coin is shaped differently) Flat smooth surface (angular surface may cause the spin to shorten or fall off the desk) Proper calibrated instrument (stopwatch) (prevent measurement bias) Time measured in seconds/milliseconds

dAta suMmaRieS 00:06:549 00:11:363 00:06:692 00:010:144 00:08:232 00:11:878 00:13:723 00:08:000 00:13:717 00:14:583 00:12:883 00:15:783 00:10:981 00:12:877 00:17:766 00:10:285 00:11:093 00:11:266 00:09:197 00:12:264 00:07:352 00:06:747 00:08:580 00:09:969 00:04:781 00:07:832 00:06:553 00:09:333 00:06:514 00:10:612 00:09:208 00:04:132 00:11:469 00:10:009 00:05:370 00:11:324 00:11:000 00:07:428 00:08:361 00:09:379 males FEMALES

Graphical Data Box plot (males) Box Plot (females)

Numerical Data Male.. X= S x =2.912 The distribution of the lengths of quarter spins is slightly skewed right, with a 5 #summary of [6.549, 9.671, , , ] with no outliers. Female… X=8.298 S x =2.171 The distribution of the lengths of quarter spins for females is slightly skewed left, with a 5 #summary of [4.132, 6.650, 8.471, 9.989, ] with no outliers.

Hypothesis test H o : u m =u f H a : u m >u f where u is the population avg as length of quarter spin This is a two sample means problem with unknown. Use 1 tailed t procedure with df=19. 1.SRS m, SRS f ( assume ) 2.10n m < N m 10n f < N f (assume that there’re at least 200 males and 200 females respectively) 3. Assume each individual spin independent 4. Little skew ness and no outliers N m =20 N f =20 X m = X f =8.298 S m =2.912 S f =2.171 Alpha level=.05

Test statistics/p-values t= x m –x f s m 2 + s f 2 n m n f t = t=3.89 U D =0 x D =3.166 U D =0X D =3.166 Bell Curve: P value is 0.

Conclusion If there were no difference in the lengths of the quarter spins between males and females, then the probability of obtaining the sample difference of or something more extreme would be essentially zero. Therefore there is sufficient evidence to show that males can spin longer than females can at 5%.

Selection Bias: Convenience Sampling (mostly students from stats class) Data has slight skew ness Calculations are not accurate and they only represent a sample of the population