AP Statistics Chapter 12 Notes.

Slides:



Advertisements
Similar presentations
Comparing Two Proportions BPS chapter 20 © 2010 W.H. Freeman and Company.
Advertisements

Chapter 12: Inference for Proportions BY: Lindsey Van Cleave.
AP STATISTICS LESSON 11 – 1 (DAY 3) Matched Pairs t Procedures.
AP Statistics – Chapter 9 Test Review
Chapter 11: Inference for Distributions
Significance Tests for Proportions Presentation 9.2.
Things that I think are important Chapter 1 Bar graphs, histograms Outliers Mean, median, mode, quartiles of data Variance and standard deviation of.
Ch 11 – Inference for Distributions YMS Inference for the Mean of a Population.
+ Chapter 9 Summary. + Section 9.1 Significance Tests: The Basics After this section, you should be able to… STATE correct hypotheses for a significance.
Chapter 11 Inference for Distributions AP Statistics 11.1 – Inference for the Mean of a Population.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Chapter 24 Comparing Means.
Copyright © 2013, 2009, and 2007, Pearson Education, Inc. Chapter 10 Comparing Two Groups Section 10.4 Analyzing Dependent Samples.
Week 101 Minitab CI and Hypothesis Tests for a Single Mean If the data is continuous, we use the t distribution unless σ is known. This is acceptable for.
Determination of Sample Size: A Review of Statistical Theory
BPS - 3rd Ed. Chapter 161 Inference about a Population Mean.
AP Statistics Chapter 10 Notes. Confidence Interval Statistical Inference: Methods for drawing conclusions about a population based on sample data. Statistical.
1 CHAPTER 4 CHAPTER 4 WHAT IS A CONFIDENCE INTERVAL? WHAT IS A CONFIDENCE INTERVAL? confidence interval A confidence interval estimates a population parameter.
AP Statistics.  Has been about the distribution of sample means  and the distribution of the difference of sample means.  and the distribution of sample.
AP Statistics Chapter 11 Notes. Significance Test & Hypothesis Significance test: a formal procedure for comparing observed data with a hypothesis whose.
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.
Essential Statistics Chapter 171 Two-Sample Problems.
Chapter 12 Inference for Proportions AP Statistics 12.2 – Comparing Two Population Proportions.
AP Statistics Chapter 11 Section 1. TestConfidence Interval FormulasAssumptions 1-sample z-test mean SRS Normal pop. Or large n (n>40) Know 1-sample t-test.
AP Statistics Chapter 24 Comparing Means. Objectives: Two-sample t methods Two-Sample t Interval for the Difference Between Means Two-Sample t Test for.
16/23/2016Inference about µ1 Chapter 17 Inference about a Population Mean.
Review of Hypothesis Testing: –see Figures 7.3 & 7.4 on page 239 for an important issue in testing the hypothesis that  =20. There are two types of error.
Chapter 8: Estimating with Confidence
Review of Power of a Test
CHAPTER 9 Testing a Claim
CHAPTER 8 Estimating with Confidence
Comparing Two Proportions
Warm up The mean salt content of a certain type of potato chips is supposed to be 2.0mg. The salt content of these chips varies normally with standard.
Inference for Two-Samples
Paired Samples and Blocks
Chapter 24 Comparing Means.
AP Statistics Chapter 24 Comparing Means.
Chapter 23 Comparing Means.
One-Sample Inference for Proportions
Statistical Quality Control, 7th Edition by Douglas C. Montgomery.
Chapter 23 Comparing Means.
STAT 312 Chapter 7 - Statistical Intervals Based on a Single Sample
Inference for Distributions
Chapter 8: Estimating with Confidence
Chapter 25: Paired Samples and Blocks
Chapter 23 Comparing Means.
Paired Samples and Blocks
Two Sample T-Tests AP Statistics.
Paired Samples and Blocks
Chapter 8: Estimating with Confidence
Inference for Distributions
CHAPTER 10 Comparing Two Populations or Groups
Chapter 8: Estimating with Confidence
Basic Practice of Statistics - 3rd Edition Two-Sample Problems
Section 12.2 Comparing Two Proportions
Doing t-tests by hand.
Review of Chapter 10 Comparing Two Population Parameters
Chapter 24 Comparing Means Copyright © 2009 Pearson Education, Inc.
Chapter 8: Estimating with Confidence
Chapter 8: Estimating with Confidence
Chapter 24 Comparing Two Means.
Chapter 8: Estimating with Confidence
Paired Samples and Blocks
Chapter 12 Inference for Proportions
Chapter 8: Estimating with Confidence
Chapter 8: Estimating with Confidence
HOMEWORK 27.) A ) A
Chapter 8: Estimating with Confidence
Chapter 8: Estimating with Confidence
Chapter 8: Estimating with Confidence
Presentation transcript:

AP Statistics Chapter 12 Notes

One – sample t-test When you do not have σ, you must use a t-test rather than a z-test. One-sample t-test  Be sure to check if the test is one or two sided. Use the t-distribution table to estimate the p-value or find it exactly using the calculator.

Reminders In a matched pairs design, the parameter you are testing is the difference between treatments. In this case, it is called a paired t-test. Always check to make sure conditions are met. You may be required to analyze Type I and Type II errors as well. *Remember: t procedures are robust against non-Normality except for when there are outliers or strong skew.

Test for proportions Remember the formula for a confidence interval for proportions. When performing a significance test, we will calculate standard error using the value for p specified in the null hypothesis.

One proportion z-test *Remember the Normality condition* H0: p = p0 Ha: p ≠ > or < p0