'Point estimate' diaporamas de présentation

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Nonparametrics.Zip (a compressed version of nonparametrics) Tom Hettmansperger Department of Statistics, Penn State Univ

Nonparametrics.Zip (a compressed version of nonparametrics) Tom Hettmansperger Department of Statistics, Penn State University. References: Higgins (2004) Intro to Modern Nonpar Stat Hollander and Wolfe (1999) Nonpar Stat Methods Arnold Notes

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Chapter

Chapter. 9. Estimating the Value of a Parameter Using Confidence Intervals. Section. 9.1. The Logic in Constructing Confidence Intervals for a Population Mean When the Population Standard Deviation Is Known. Objectives. Compute a point estimate of the population mean

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Target Tracking Performance Evaluation A General Software Environment for Filtering

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Review of Chapters 1- 6

Review of Chapters 1- 6. We review some important themes from the first 6 chapters Introduction Statistics - Set of methods for collecting/analyzing data (the art and science of learning from data). Provides methods for Design - Planning/Implementing a study

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Sampling Distributions

Sampling Distributions. Chapter 8. Distributions of the Sample Mean. Lesson 8.1. Sampling Statistics.

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One Sample t Tests

One Sample t Tests. Karl L. Wuensch Department of Psychology East Carolina University. Nondirectional Test. Null: ? = some value Alternative: ? ? that value We have a sample of N scores Somehow we magically know the value of the population ?

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The Sample Mean

The Sample Mean. 68 - 95 - 99.7 rule. Recall we learned a variable could have a normal distribution.

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Margin of Error and Confidence Intervals

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Confidence intervals for proportions

Confidence intervals for proportions. Sec 9.3. The Plan; For building a 95% confidence interval. The Plan; For building a 95% confidence interval. What do we use for (se). What to use for Standard Error,. The standard error for a sampling distribution of proportions is normally;

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Chapter 7.1

Chapter 7.1. Confidence Intervals for the mean. Estimation.

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6.1 Confidence intervals for the mean (large samples)

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Section 7-4

Section 7-4. Estimating a Population Mean: ? Not Known. ASSUMPTIONS: ? NOT KNOWN. 1. The sample is a simple random sample. 2. Either the sample is from a normally distributed population or n > 30. When ? is not known we will use the Student t Distribution .

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Chapter 8 Confidence Intervals

Chapter 8 Confidence Intervals. 8.3 Confidence Intervals about a Population Proportion. EXAMPLE Computing a Point Estimate

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Lesson 9 - 3

Lesson 9 - 3. Confidence Intervals about a Population Proportion. Objectives. Obtain a point estimate for the population proportion Construct and interpret a confidence interval for the population proportion

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STA291

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6.4 Confidence intervals for Variance and Standard deviation

6.4 Confidence intervals for Variance and Standard deviation. Interpret the chi-square distribution and use a chi-square distribution table Use the chi-square distribution to construct a confidence interval for the variance and standard deviation.

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CHAPTER 6 Statistical Inference & Hypothesis Testing

CHAPTER 6 Statistical Inference & Hypothesis Testing . 6.1 - One Sample Mean ? , Variance ? 2 , Proportion ? 6.2 - Two Samples Means, Variances, Proportions ? 1 vs. ? 2 ? 1 2 vs. ? 2 2 ? 1 vs. ? 2 6.3 - Multiple Samples Means, Variances, Proportions

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Topic 3: ACPS Questions Highly Variable Drugs

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