A course is designed to increase mathematical comprehension. In order to evaluate the effectiveness of the course, students are given a test before and.

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

Two-Sample Inference Procedures with Means
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.
Ethan Cooper (Lead Tutor)
A GEICO Direct magazine had an interesting article concerning the percentage of teenage motor vehicle deaths and the time of day. The following percentages.
Comparing Two Population Means The Two-Sample T-Test and T-Interval.
ONE SAMPLE t-TEST FOR THE MEAN OF THE NORMAL DISTRIBUTION Let sample from N(μ, σ), μ and σ unknown, estimate σ using s. Let significance level =α. STEP.
Hypothesis Testing Steps of a Statistical Significance Test. 1. Assumptions Type of data, form of population, method of sampling, sample size.
Independent t test “Using Relaxation Techniques and Positive Self-esteem to Improve Academic Achievement of College Students” Elisha Kennedy, Natalie Eberhart.
Hypothesis Tests About  With  Unknown. Hypothesis Testing (Revisited) Five Step Procedure 1.Define Opposing Hypotheses. (  ) 2.Choose a level of risk.
Hypothesis test with t – Exercise 1 Step 1: State the hypotheses H 0 :  = 50H 1 = 50 Step 2: Locate critical region 2 tail test,  =.05, df = =24.
Inferences About Means of Single Samples Chapter 10 Homework: 1-6.
Hypothesis Testing for the Mean and Variance of a Population Introduction to Business Statistics, 5e Kvanli/Guynes/Pavur (c)2000 South-Western College.
WARM – UP 1. What is the Critical Value t* for a distribution of 26 observation with probability 0.10 to the Right? 2. What is the Critical Value t* for.
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.
Inferences about the slope of the regression line.
Hypothesis Testing Using The One-Sample t-Test
Hypothesis Testing For a Single Population Mean. Example: Grade inflation? Population of 5 million college students Is the average GPA 2.7? Sample of.
Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall Statistics for Business and Economics 8 th Edition Chapter 9 Hypothesis Testing: Single.
Hypothesis Testing with One Sample
Independent t-tests.  Use when:  You are examining differences between groups  Each participant is tested once  Comparing two groups only.
REGRETFUL SIGNINGS? BY: KEVIN PHILLIPS NONPARAMETRICS HARTLAUB.
Find the mean number of points for the basketball team and the standard deviation. PlayerPointsSt. Dev. John51 Tim82 Ed124.
Hypothesis Testing with Two Samples
Means Tests Hypothesis Testing Assumptions Testing (Normality)
Formulas: Hypothesis test: We would like to know if there is . The data on six-year graduation rate (%), student-related expenditure per full-time.
The table shows a random sample of 100 hikers and the area of hiking preferred. Are hiking area preference and gender independent? Hiking Preference Area.
Copyright © 2015, 2012, and 2009 Pearson Education, Inc. 1 Section 7.3 Hypothesis Testing for the Mean (  Unknown).
Inference about means. Central Limit Theorem X 1,X 2,…,X n independent identically distributed random variables with mean μ and variance σ 2, then as.
Chapter 24 Comparing Means.
Laws of Logic and Rules of Evidence Larry Knop Hamilton College.
Profile Analysis. Definition Let X 1, X 2, …, X p denote p jointly distributed variables under study Let  1,  2, …,  p denote the means of these variables.
Two Sample Tests Nutan S. Mishra Department of Mathematics and Statistics University of South Alabama.
COURSE: JUST 3900 TIPS FOR APLIA Developed By: Ethan Cooper (Lead Tutor) John Lohman Michael Mattocks Aubrey Urwick Chapter : 10 Independent Samples t.
Hypothesis Testing with One Sample Chapter 7. § 7.3 Hypothesis Testing for the Mean (Small Samples)
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.
Dan Piett STAT West Virginia University Lecture 11.
Basics of Hypothesis Testing 8.2 Day 2. Homework Answers.
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.
Section 9.2 Hypothesis Testing Proportions P-Value.
Hypothesis Testing for the Mean (Small Samples)
Unit 8 Section 8-3 – Day : P-Value Method for Hypothesis Testing  Instead of giving an α value, some statistical situations might alternatively.
Aim: How do we use a t-test?
The table shows a random sample of 100 hikers and the area of hiking preferred. Are hiking area preference and gender independent? Hiking Preference Area.
Logic and Vocabulary of Hypothesis Tests Chapter 13.
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.
Hypothesis Testing Errors. Hypothesis Testing Suppose we believe the average systolic blood pressure of healthy adults is normally distributed with mean.
Final Test Information The final test is Monday, April 13 at 8:30 am The final test is Monday, April 13 at 8:30 am GRH102: Last name begins with A - I.
We’ve learned: 1) Hypothesis testing for population mean when population variance is known ( Z-test ) ( large sample size or assume population is normal.
A GEICO Direct magazine had an interesting article concerning the percentage of teenage motor vehicle deaths and the time of day. The following percentages.
Statistical Inference Drawing conclusions (“to infer”) about a population based upon data from a sample. Drawing conclusions (“to infer”) about a population.
Applied Quantitative Analysis and Practices LECTURE#14 By Dr. Osman Sadiq Paracha.
AP Process Test of Significance for Population Proportion.
Sampling Distribution of Differences Between Means.
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.
Introduction to Inference Tests of Significance. Wording of conclusion revisit If I believe the statistic is just too extreme and unusual (P-value < 
Rebecca Robinson.  Listed all public universities in the United States and numbered them.  Used a random number generator to generate 25 random colleges.
Of the following situations, decide which should be analyzed using one-sample matched pair procedure and which should be analyzed using two-sample procedures?
Introduction to Hypothesis Testing. Hypothesis Testing The general goal of a hypothesis test is to rule out chance (sampling error) as a plausible explanation.
Testing Claims about a Population Mean Objective: test a claim.
Ex St 801 Statistical Methods Part 2 Inference about a Single Population Mean (HYP)
Section 8-3 Testing the Difference Between Means (Dependent Samples) We can conduct the hypothesis test on two dependent samples if ALL of the following.
Hypothesis Test for Independent Groups Two Means
Hypothesis Test for Independent Groups Two Proportions
Sample Mean Compared to a Given Population Mean
Sample Mean Compared to a Given Population Mean
Hypothesis Testing for Proportions
STAT 1301 Tests of Significance about Averages.
Presentation transcript:

A course is designed to increase mathematical comprehension. In order to evaluate the effectiveness of the course, students are given a test before and after the course. Does the course help the students comprehend math better? Student Test score before course Test score after course

Difference Data: (test score after course – test score before course) 87-75=12; 68-67=1; 80-82=-2; 69-70=-1 Difference Data:{12, 1, -2, -1} (Subscript: d = difference) H o :µ d ≤ 0 (no improvement in comprehension) H a : µ d > 0 (improvement in comprehension)

= average of the differences between the scores Distribution for the Test: Student-t: t 3 df = 4 – 1 = 3

Test statistic: 0.77 Standardized score for the sample mean (2.5) of the difference data. p-value: Use a TTest.

Decision: DO NOT REJECT H o. Conclusion: There is NOT sufficient evidence to conclude that the course helps the students to comprehend math better.