WARM – UP Plant scientists have developed a new variety of corn rich in amino acid lysine used for bulking up chickens. Twenty-five Chickens were randomly.

Slides:



Advertisements
Similar presentations
Chapter 25 Paired Samples and Blocks
Advertisements

Topic 6: Introduction to Hypothesis Testing
Business Statistics for Managerial Decision
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.
Warm-up An experiment on the side effects of pain relievers assigned arthritis patients to one of several over-the-counter pain medications. Of the 440.
Statistical Analysis. Purpose of Statistical Analysis Determines whether the results found in an experiment are meaningful. Answers the question: –Does.
Inference for Distributions
Example 1: a) Describe the shape, center, and spread of the sampling distribution of. Because n 1 p 1 = 100(0.7) = 70, n 1 (1 − p 1 ) = 100(0.3) = 30,
Statistical Analysis Statistical Analysis
The paired sample experiment The paired t test. Frequently one is interested in comparing the effects of two treatments (drugs, etc…) on a response variable.
Comparing Two Populations or Groups
Week 111 Power of the t-test - Example In a metropolitan area, the concentration of cadmium (Cd) in leaf lettuce was measured in 7 representative gardens.
Two-Sided Hypothesis Tests. p ,29 p ,32,33 p
AP Statistics Section 13.1 A. Which of two popular drugs, Lipitor or Pravachol, helps lower bad cholesterol more? 4000 people with heart disease were.
Essential Question:  How do scientists use statistical analyses to draw meaningful conclusions from experimental results?
2011 AP Exam Solutions Courtesy of Mr. Genova #1 1. A professional sports team evaluates potential players for a certain position based on two main.
Week111 The t distribution Suppose that a SRS of size n is drawn from a N(μ, σ) population. Then the one sample t statistic has a t distribution with n.
WARM – UP Plant scientists have developed a new variety of corn rich in amino acid lysine used for bulking up chickens. Twenty-five Chickens were randomly.
Some studies have shown that lean and obese people spend their time differently. Obese people spend fewer minutes per day standing and walking than do.
Chapter 9 Lecture 3 Section: 9.3. We will now consider methods for using sample data from two independent samples to test hypotheses made about two population.
Chapter 10 Comparing Two Populations or Groups Sect 10.1 Comparing two proportions.
Two-Sample vs. Matched Pairs The following data indicates the average age of registered voters before and after the 2004 election. Choose 6 counties.
CHAPTER 10 Comparing Two Populations or Groups
Warm-up An experiment on the side effects of pain relievers assigned arthritis patients to one of several over-the-counter pain medications. Of the 440.
Chapter 10: Comparing Two Populations or Groups
Section 2 Comparing two means
WARM – UP In a study of heart surgery, one issue was the effects of drugs called beta blockers on the pulse rate of patients during surgery. Subjects.
Chapter 11 Comparing two populations or Treatments
EXPERIMENT DESIGN.
Two-Sample Inference Procedures with Means
Chapter 13: Comparing Two Population Parameters
AP Statistics Comparing Two Proportions
Chapter 10: Comparing Two Populations or Groups
Comparing Two Means BPS 7e Chapter 21 © 2015 W. H. Freeman and Company.
Two-Sample Inference Procedures with Means
The Practice of Statistics in the Life Sciences Fourth Edition
Unit 6 - Comparing Two Populations or Groups
Two-Sample Inference Procedures with Means
Comparing Two Means: Paired Data
Comparing Populations
The Randomized Complete Block Design
WARM - UP The following represents snowfall amounts for 8 random winters in Detroit. 78” 130” 140” 120” 108” 120” 156” 101” 1. Fill in all four.
Two-Sample Hypothesis Test with Means
Which of the popular two drugs – Lipitor or Pravachol – helps lower.
A special type of t-inference
Chapter 13: Inferences about Comparing Two Populations Lecture 7a
Correlation and the Pearson r
Comparing Two Means: Paired Data
Two-Sample Inference Procedures with Means
Chapter 10: Comparing Two Populations or Groups
Two-Sample Inference Procedures with Means
Chapter 10: Comparing Two Populations or Groups
Chapter 10: Comparing Two Populations or Groups
Chapter 10: Comparing Two Populations or Groups
Chapter 10: Comparing Two Populations or Groups
Chapter 10: Comparing Two Populations or Groups
Chapter 10: Comparing Two Populations or Groups
Chapter 10: Comparing Two Populations or Groups
Chapter 10: Comparing Two Populations or Groups
Objectives 7.1 Inference for the mean of a population
Two-Sample Inference Procedures with Means
Chapter 10: Comparing Two Populations or Groups
Section 10.2 Comparing Two Means.
Day 60 Agenda: Quiz 10.2 & before lunch.
Chapter 10: Comparing Two Populations or Groups
Working with Two Populations
Chapter 10: Comparing Two Populations or Groups
Chapter 10: Comparing Two Populations or Groups
Chapter 9 Lecture 4 Section: 9.4.
Chapter 9 Lecture 3 Section: 9.3.
Presentation transcript:

WARM – UP Plant scientists have developed a new variety of corn rich in amino acid lysine used for bulking up chickens. Twenty-five Chickens were randomly placed in one of two groups (Exclusively eating the New corn & Control group) and after one month their weight gains were recorded (in grams). Control Experimental Corn 380 321 366 356 361 447 401 434 283 349 402 462 403 393 426 406 356 410 329 399 427 420 477 392 430 Is there good evidence that chicks fed high-lysine corn gain more weight?

Control: 367.75 47.165 12 H0: μ1 = μ2 Ha: μ1 < μ2 Experimental: 416.69 28.949 13 μi = The true mean amount of weight gained by chicks eating… μ1 = Traditional Corn μ2 = Experimental Corn H0: μ1 = μ2 Ha: μ1 < μ2 TWO Sample t – Test SRS – Stated 2. Independent 3. Approximately Normal Distribution – Graph BOTH! Since the P-Value is less than α = 0.05 the data IS significant . There is strong evidence to REJECT H0 . Chicks fed the high-lysine corn gained more weight.

Two –Sample T Tests vs. Matched Pairs T Tests Two Sample T – Two INDEPENDENT samples in which no natural pairing exists within the data. Examines the Difference in the Means Matched Pairs T – Two Dependent samples in which a natural pairing does exist within the data. Examines the Mean of the Paired Differences.

Two-Sample vs. Matched Pairs The following data indicates the average age of registered voters before and after the 2004 election. Choose 6 counties. County # Before 04 After 04 1 35 36 2 40 38 3 42 43 4 5 41 37 6 50 49 7 47 8 9 39 10 11 32 1. Design AND Conduct a Two-sample t-Test (both samples n =6) experiment to determine if age significantly decreased. 2. Design AND Conduct a Matched Pairs t-Test (n = 6) experiment to determine if age significantly decreased.

Two-Sample vs. Matched Pairs Randomly Choose 2 samples of 6 counties, 6 B & 6 A. County # Before 04 After 04 1 35 36 2 40 38 3 42 43 4 5 41 37 6 50 49 7 47 8 9 39 10 11 32 1. Design AND Conduct a Two-sample t-Test (n =6) experiment to determine if age significantly decreased. μi= True mean age of voters… i=1 Before 04, i=2 After 04 H0: μ1 = μ2 Ha: μ1 > μ2 TWO Sample t – Test SRS – Stated 2. Independent 3. Approximately Normal Distribution – Graph BOTH! t = ________ P-Value = _______

Two-Sample vs. Matched Pairs Randomly Choose 6 counties. 2. Design AND Conduct a Matched Pairs t-Test (n = 6) experiment to determine if age significantly decreased. County # Before 04 After 04 1 35 36 2 40 38 3 42 43 4 5 41 37 6 50 49 7 47 8 9 39 10 11 32 μd= True mean difference in age of voters. (Before 04, - After 04) H0: μd = 0 Ha: μd > 0 Matched Pairs t – Test SRS – Stated 2. Not Independent 3. Approximately Normal Distribution Graph differences t = ________ P-Value = _______

OBJECTS RECALLED

High cholesterol levels in people can be reduced by exercise, diet, and medication. Twenty middle-aged males with cholesterol readings between 220 and 240 milligrams per deciliter (mg/dL) of blood were randomly selected from the population of such male patients at a large local hospital. Ten of the 20 males were randomly assigned to group A, advised on appropriate exercise and diet, and also received a placebo. The other 10 males were assigned to group B, received the same advice on appropriate exercise and diet, but received a drug intended to reduce cholesterol instead of a placebo. After three months, post-treatment cholesterol readings were taken for all 20 males and compared to pretreatment cholesterol readings. The tables below give the reduction in cholesterol level (pretreatment reading minus post-treatment reading) for each male in the study. Do the data provide convincing evidence, at the α = 0.01 level, that the cholesterol drug is effective in producing a reduction in mean cholesterol level beyond that produced by exercise and diet?