'Sample size increases' diaporamas de présentation

COURSE: JUST 3900 TIPS FOR APLIA Developed By: Ethan Cooper (Lead Tutor) John Lohman

COURSE: JUST 3900 TIPS FOR APLIA Developed By: Ethan Cooper (Lead Tutor) John Lohman Michael Mattocks Aubrey Urwick. Chapters 7-9: Test Review. Chapter 7: Key Concepts. This chapter is on the distribution of sample means.

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Where We Left Off

Where We Left Off. What is the probability of randomly selecting a sample of three individuals, all of whom have an I.Q. of 135 or more? Find the z -score of 135, compute the tail region and raise it to the 3 rd power.

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SAMPLING DISTRIBUTION OF MEANS & PROPORTIONS

SAMPLING DISTRIBUTION OF MEANS & PROPORTIONS. PPSS. The situation in a statistical problem is that there is a population of interest, and a quantity or aspect of that population that is of interest. This quantity is called a parameter. The value of this parameter is unknown.

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SAMPLING DISTRIBUTION OF MEANS & PROPORTIONS

SAMPLING DISTRIBUTION OF MEANS & PROPORTIONS. PPSS. The situation in a statistical problem is that there is a population of interest, and a quantity or aspect of that population that is of interest. This quantity is called a parameter. The value of this parameter is unknown.

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SAMPLING DISTRIBUTION OF MEANS & PROPORTIONS

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One-way Analysis of Variance

One-way Analysis of Variance. Limitations of the t-test. The t-test, although a useful tool, is limited to inferences regarding the differences between two means. If one wishes to use a t-test to analyze the differences between three means, one would have to conduct three separate t-tests.

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Sampling Distributions

Sampling Distributions. How likely are the possible values of a statistic?. Part 1: the Sampling Distribution of the Sample Mean. Briefly: What have we covered?. We use statistical analysis to make inferences about a population. 2. Sample statistics can be used to make such inferences.

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Hypothesis Testing I, The One-Sample Case

Hypothesis Testing I, The One-Sample Case. Hypothesis Testing. Also called significance testing Need to decide if a sample is like a population for a particular variable Will be trying to find if the sample is different from the population

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Chapter 9

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Sampling Distributions

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Chapter 9

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Sampling

Sampling. Focus Questions- - What is sampling? - Why should we sample? - What is a reliable sample?. Important Statistical Definitions. Population - the set of all things that we are making a statistical inference about.

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FIGURES FOR CHAPTER 2

STATISTICAL INFERENCE. FIGURES FOR CHAPTER 2. Click the mouse or use the arrow keys to move to the next page. Use the ESC key to exit this chapter. Section 2.1 Example 1. Section 2.1 Example 2. Figure 2.1 The normal distribution: Y ~ N ( m , s 2 ). Section 2.2 Example 6.

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PRE-STRATIFIED RANDOMIZATION IS NOT NECESSARY FOR LARGE CLINICAL TRIALS

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Population distribution VS Sampling distribution

Population distribution VS Sampling distribution.

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Terminology

Terminology. A statistic is a number calculated from a sample of data. For each different sample, the value of the statistic is a uniquely determined number. A parameter is a number calculated from the data in a population.

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SAMPLING DISTRIBUTIONS

SAMPLING DISTRIBUTIONS. DISTRIBUTIONS. Population Distribution Sample Distribution Sampling Distribution. Distributions. Definition The population distribution is the probability distribution of the population data.

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Ch7: Sampling Distributions

29 Sep 2011 BUSI275 Dr. Sean Ho. Ch7: Sampling Distributions. HW3 due 10pm. Outline for today. Sampling distributions Sampling distribution of the sample mean ? x and ? x Central Limit Theorem Uses of the SDSM Probability of sample avg above a threshold 90% confidence interval

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Determination of Sample Size: A Review of Statistical Theory

Determination of Sample Size: A Review of Statistical Theory. Chapter 13. Sample v. Population. Inferential Descriptive Sample statistics Population parameters. Tables. Frequency distribution Percentage distribution Probability Proportion. Measures of Central Tendency. Mean Median

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Ch. 20 Chance errors in sampling

Ch. 20 Chance errors in sampling. Finding the EV and SE of a percent Our temporary assumptions are that we know how to find the average & SD of a box.

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