'Population variance' diaporamas de présentation

Chapter 3 Numerically Summarizing Data

Chapter 3 Numerically Summarizing Data. 3.1 Measures of Central Tendency. The following chart gives a summary of some background information on 5 students at Joliet Junior College (JJC). Name Age Gender Number of Semesters Overall GPA

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Statistics Alan D. Smith Descriptive Statistics - Measures of Central Tendency

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ANALYSIS OF VARIANCE

ANALYSIS OF VARIANCE. t-test refresher. In chapter 7 we talked about analyses that could be conducted to test whether pairs of means were significantly different.

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Descriptive Statistics

Descriptive Statistics. Measures of Central Tendency. Why? What? And How. Remember, data reduction is key Are the scores generally high or generally low? Where the center of the distribution tends to be located Three measures of central tendency Mode Median Mean

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Chapter 3

Chapters 1. Introduction 2. Graphs 3. Descriptive statistics 4. Basic probability 5. Discrete distributions 6. Continuous distributions 7. Central limit theorem 8. Estimation 9. Hypothesis testing 10. Two-sample tests 13. Linear regression

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Data Analysis for Managers

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Doing Statistics for Business Data, Inference, and Decision Making Marilyn K. Pelosi Theresa M. Sandifer

Doing Statistics for Business Data, Inference, and Decision Making Marilyn K. Pelosi Theresa M. Sandifer. Chapter 9 Inferences: One Population . Doing Statistics for Business. Chapter 9 Objectives Hypothesis Test of the Population Mean, ? : Small Sample

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T-test for dependent Samples

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Statistics

Statistics. Introduction. Statistics. the art and science of gathering, describing, analyzing, summarizing and interpreting data to give us new information and knowledge. Populations and Samples. Reasons to Sample. Reduced Cost

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Inference for a Population Mean

Statistics 111 - Lecture 13. Inference for a Population Mean. Confidence Intervals and Tests with unknown variance and Two-sample Tests . Administrative Notes. Homework 4 due Wednesday Homework 5 assigned tomorrow The final is ridiculously close (next Thursday). Outline. Review:

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Confidence Intervals

Confidence Intervals. 6. Elementary Statistics Larson Farber. Section 6.1. Confidence Intervals for the Mean (large samples). Point Estimate. DEFINITION: A point estimate is a single value estimate for a population parameter. The best point estimate of the population mean

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First There Was the t-Test

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Sampling Distributions

Sampling Distributions. Sampling Distribution Introduction. In real life calculating parameters of populations is prohibitive because populations are very large.

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Chapter 13 Experimental Design and Analysis of Variance

Chapter 13 Experimental Design and Analysis of Variance . Introduction to Experimental Design and Analysis of Variance . Analysis of Variance and the Completely Randomized Design. Multiple Comparison Procedures. An Introduction to Experimental Design

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Multiple Regression Analysis

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Multiple Regression Analysis

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Variance and Standard Deviation

Variance and Standard Deviation . Variance : a measure of how data points differ from the mean . Data Set 1: 3, 5, 7, 10, 10 Data Set 2: 7, 7, 7, 7, 7 What is the mean and median of the above data set? Data Set 1: mean = 7, median = 7 Data Set 2: mean = 7, median = 7

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Frequency Distribution and Variation

Frequency Distribution and Variation. Prepared by E.G. Gascon. Frequency Distributions. Frequency distribution: Quantitative Data is a table that shows classes or intervals (frequency f of a class is the number of data entries in the class

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Section 6-4

Section 6-4. Sampling Distributions and Estimators. EXAMPLE .

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