'Confidence interval estimate' presentation slideshows

Business Research Methods

Business Research Methods. 15. Estimation. Definitions. An estimator of a population parameter is a random variable that depends on sample information . . . whose value provides an approximation to this unknown parameter A specific value of that random variable is called an estimate.

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Confidence Interval Estimation

Chapter 8. Confidence Interval Estimation. Objectives. In this chapter, you learn: To construct and interpret confidence interval estimates for the population mean and the population proportion

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Chapter 8 Estimating Population Values

Business Statistics. Chapter 8 Estimating Population Values. Chapter Goals. After completing this chapter, learners should be able to: Distinguish between a point estimate and a confidence interval estimate

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Business Research Methods William G. Zikmund

Business Research Methods William G. Zikmund. Chapter 21: Univariate Statistics . Univariate Statistics. Test of statistical significance Hypothesis testing one variable at a time. Hypothesis. Unproven proposition Supposition that tentatively explains certain facts or phenomena

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Exploring Marketing Research William G. Zikmund

Exploring Marketing Research William G. Zikmund. Chapter 21: Univariate Analysis. Univariate Statistics. Test of statistical significance Hypothesis testing one variable at a time. Hypothesis. Unproven proposition Supposition that tentatively explains certain facts or phenomena

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Chapter 7 Estimating Population Values

Chapter 7 Estimating Population Values. Chapter Goals. After completing this chapter, you should be able to: Distinguish between a point estimate and a confidence interval estimate

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Chapter 9

Chapter 9. Confidence Intervals. Suppose we wanted to estimate the proportion of blue candies in a VERY large bowl. How might we go about estimating this proportion?. We could take a sample of candies and compute the proportion of blue candies in our sample.

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Simple Linear Regression Estimation and Residuals

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Interval Estimation

Interval Estimation. Interval estimation of a population mean: Large Sample case Interval estimation of a population mean: Small sample case. Interval Estimation of a Population Mean: Large-Sample Case. Sampling Error Probability Statements about the Sampling Error

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Types of variables

Types of variables. Continuous can take on any value within a range (height, yield, etc.) measurements are approximate often normally distributed Discrete only certain values are possible (e.g., counts, scores) not normally distributed, but means may be Categorical

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The Simple Linear Regression Model

The Simple Linear Regression Model. Simple Linear Regression Model y = ? 0 + ? 1 x + ? Simple Linear Regression Equation E( y ) = ? 0 + ? 1 x Estimated Simple Linear Regression Equation y = b 0 + b 1 x. ^. ??????????????.

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Economics 105: Statistics

Economics 105: Statistics. Any questions? GH 21 due Wednesday. Standard Error of Estimated Slope. If we knew pop var of errors, could use z-test Need an unbiased estimator of pop variance of ? Now t distribution. For this test the test statistic is

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ECO 173 Chapter 10: Introduction to Estimation Lecture 5a

ECO 173 Chapter 10: Introduction to Estimation Lecture 5a. Instructor: Naveen Abedin. Recap. Statistical inference is the process by which we acquire information and draw conclusions about populations from samples.

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ENGR 610 Applied Statistics Fall 2007 - Week 10

ENGR 610 Applied Statistics Fall 2007 - Week 10. Marshall University CITE Jack Smith. Overview for Today. Collect and go over Exam #2 Simple Linear Regression , Ch 12 Types of Regression Models Least-Square Linear Regression Measures of Variation in Regression

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Estimation and Confidence Intervals

Estimation and Confidence Intervals. Chapter 9. GOALS. Define a point estimate. Define level of confidence. Construct a confidence interval for the population mean when the population standard deviation is known.

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Estimating the Population Mean

Estimating the Population Mean. Assumptions The sample is a simple random sample The value of the population standard deviation (?) is known Either the population is normally distributed or n > 30 The sample mean is the best point estimate for the population mean.

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CHAPTER 9 ESTIMATION

CHAPTER 9 ESTIMATION. Outline Estimation Point estimator Interval estimator Unbiased estimator Confidence interval estimator of population mean when the population variance is known Selecting the sample size. ESTIMATION.

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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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Sub - Sampling

Sub - Sampling. It may be necessary or convenient to measure a treatment response on subsamples of a plot several soil cores within a plot duplicate laboratory analyses to estimate grain protein Introduces a complication into the analysis that can be handled in one of two ways:

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