Section 11.1 Inference for the Mean of a Population AP Statistics March 15, 2010 CASA.

Slides:



Advertisements
Similar presentations
Inference about Means/Averages Chapter 23 Looking at means rather than percentages.
Advertisements

AP Statistics Section 11.2 B. A 95% confidence interval captures the true value of in 95% of all samples. If we are 95% confident that the true lies in.
Single Sample t-test Purpose: Compare a sample mean to a hypothesized population mean. Design: One group.
Today Today: Chapter 10 Sections from Chapter 10: Recommended Questions: 10.1, 10.2, 10-8, 10-10, 10.17,
AP Statistics Section 12.1 A. Now that we have looked at the principles of testing claims, we proceed to practice. We begin by dropping the unrealistic.
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.
Statistics 270– Lecture 25. Cautions about Z-Tests Data must be a random sample Outliers can distort results Shape of the population distribution matters.
7.3 Hypothesis Testing for the Mean (Small Samples) Statistics Mrs. Spitz Spring 2009.
CHAPTER 23 Inference for Means.
1 Level of Significance α is a predetermined value by convention usually 0.05 α = 0.05 corresponds to the 95% confidence level We are accepting the risk.
Chapter 24 Comparing Means.
T-distribution & comparison of means Z as test statistic Use a Z-statistic only if you know the population standard deviation (σ). Z-statistic converts.
- Interfering factors in the comparison of two sample means using unpaired samples may inflate the pooled estimate of variance of test results. - It is.
McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved. Statistical Inferences Based on Two Samples Chapter 9.
Confidence Intervals for Means. point estimate – using a single value (or point) to approximate a population parameter. –the sample mean is the best point.
One Sample Inf-1 If sample came from a normal distribution, t has a t-distribution with n-1 degrees of freedom. 1)Symmetric about 0. 2)Looks like a standard.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Chapter 24 Comparing Means.
Hypothesis Testing for Variance and Standard Deviation
Inference We want to know how often students in a medium-size college go to the mall in a given year. We interview an SRS of n = 10. If we interviewed.
Section 8-5 Testing a Claim about a Mean: σ Not Known.
AP Statistics Section 11.1 B More on Significance Tests.
Inference for the Mean of a Population Section 11.1 AP Exam Registration Deadline: March 17 th Late Fee ($50): March 18 th – March 24 th Financial Aid.
- We have samples for each of two conditions. We provide an answer for “Are the two sample means significantly different from each other, or could both.
Inferences Concerning Variances
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.
Comparing Means Chapter 24. Plot the Data The natural display for comparing two groups is boxplots of the data for the two groups, placed side-by-side.
Section 8-6 Testing a Claim about a Standard Deviation or Variance.
MATB344 Applied Statistics I. Experimental Designs for Small Samples II. Statistical Tests of Significance III. Small Sample Test Statistics Chapter 10.
ESTIMATION OF THE MEAN. 2 INTRO :: ESTIMATION Definition The assignment of plausible value(s) to a population parameter based on a value of a sample statistic.
Essential Statistics Chapter 171 Two-Sample Problems.
Lecture 8 Estimation and Hypothesis Testing for Two Population Parameters.
Chapter 12 Inference for Proportions AP Statistics 12.2 – Comparing Two Population Proportions.
Section 11.1 Inference for the Mean of a Population AP Statistics March 10, 2009.
Statistics 24 Comparing Means. Plot the Data The natural display for comparing two groups is boxplots of the data for the two groups, placed side-by-side.
Chapter 11: Categorical Data n Chi-square goodness of fit test allows us to examine a single distribution of a categorical variable in a population. n.
Section 7.3 Hypothesis Testing for the Mean (Small Samples) © 2012 Pearson Education, Inc. All rights reserved. 1 of 15.
Independent Samples: Comparing Means Lecture 39 Section 11.4 Fri, Apr 1, 2005.
Chapter 7 Estimation. Chapter 7 ESTIMATION What if it is impossible or impractical to use a large sample? Apply the Student ’ s t distribution.
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 10 Comparing Two Populations or Groups 10.2.
CHAPTER 8 Estimating with Confidence
CHAPTER 10 Comparing Two Populations or Groups
Review of Power of a Test
One-Sample Inference for Proportions
Exercises #8.74, 8.78 on page 403 #8.110, on page 416
Math 4030 – 10b Inferences Concerning Variances: Hypothesis Testing
Inference: Conclusion with Confidence
CHAPTER 21: Comparing Two Means
Hypothesis Tests for a Population Mean in Practice
WARM - UP 1. How do you interpret a Confidence Interval?
Tests of Significance.
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
8.3 – Estimating a Population Mean
Significance Tests in practice
TESTs about a population mean
Tests About a Population Mean
Basic Practice of Statistics - 3rd Edition Two-Sample Problems
Lecture 10/24/ Tests of Significance
Unit 5: Hypothesis Testing
DRILL What conditions need to be met when doing an inference test?
CHAPTER 10 Comparing Two Populations or Groups
Section 12.1 Inference for a Population Proportion
Unit 5: Hypothesis Testing
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
Chapter 12 Inference for Proportions
CHAPTER 10 Comparing Two Populations or Groups
Section 11.1: Significance Tests: Basics
Statistical Inference for the Mean: t-test
Section 9.2: Sample Proportions
Presentation transcript:

Section 11.1 Inference for the Mean of a Population AP Statistics March 15, 2010 CASA

AP Statistics, Section The t statistic The t statistic is used when we don’t know the standard deviation of the population, and instead we use the sample distribution as an estimation. The t statistic has n-1 degrees of freedom (df).

AP Statistics, Section The t statistic The t statistic is bigger than the z statistic. We say that t distribution is a more conservative distribution. There is more area in the tails. The t statistic has n-1 degrees of freedom.

AP Statistics, Section

5 The t statistic In statistical tests of significance, we still have H 0 and H a. We need to provide the mu in the calculation of the t statistic. Looking at the t table is fundamentally different than the z table.

AP Statistics, Section Example: Mr. Young Mopping Let’s suppose that Mr. Young has been told that he should mop by 25 after 1. We collect 12 samples with an average minutes after 1 p.m. with a standard deviation of minutes. Is this evidence that his true mean is after 1:25?

AP Statistics, Section

8

9 Step 1: Mr. Young Mopping Population of interest:  Mr. Young’s mopping Parameter of interest:  average time of arrival during mopping Hypothesis  H 0 : µ=25  H a : µ>25

AP Statistics, Section Step 2: Mr. Young Mopping We are using 1 sample t-test? Bias?  SRS not stated. Proceed with caution. Independence?  Population size is at least 10 times the sample size?  We assume that Mr. Young has done a lot of mopping Normality?  Big sample size (> 40). No  Sample is somewhat normal because the sample distribution is single peaked, no obvious outliers.

AP Statistics, Section Step 3: Mr. Young Mopping Calculate the test statistic, and calculate the p-value.

AP Statistics, Section Exercises odd