T07-00 - 1 T07-00 1 Population Sampling Distribution Purpose Allows the analyst to determine the mean and standard deviation of a sampling distribution.

Slides:



Advertisements
Similar presentations
THE CENTRAL LIMIT THEOREM
Advertisements

Sampling: Final and Initial Sample Size Determination
Chapter 10: Sampling and Sampling Distributions
T T06-02 Normal & Standard Normal Templates Purpose T06-02 is an all in one template combining the features of the two templates T06-02.N and.
T T20-01 Mean Chart (Known Variation) CL Calculations Purpose Allows the analyst calculate the "Mean Chart" for known variation 3-sigma control.
T T02-06 Histogram (6 SD) Purpose Allows the analyst to analyze quantitative data by summarizing it in sorted format, scattergram by observation,
Lesson #17 Sampling Distributions. The mean of a sampling distribution is called the expected value of the statistic. The standard deviation of a sampling.
T T20-03 P Chart Control Limit Calculations Purpose Allows the analyst to calculate the proportion "P-Chart" 3-sigma control limits. Inputs Sample.
T T07-01 Sample Size Effect – Normal Distribution Purpose Allows the analyst to analyze the effect that sample size has on a sampling distribution.
CHAPTER 7 Sampling Distributions
Chapter Six z-Scores and the Normal Curve Model. Copyright © Houghton Mifflin Company. All rights reserved.Chapter The absolute value of a number.
AP Statistics Section 12.1 A. Now that we have looked at the principles of testing claims, we proceed to practice. We begin by dropping the unrealistic.
T T Population Variance Confidence Intervals Purpose Allows the analyst to analyze the population confidence interval for the variance.
The Sampling Distribution of the Sample Mean AGAIN – with a new angle.
T T20-00 Range Chart Control Limit Calculations Purpose Allows the analyst to calculate the "Range Chart" 3- sigma control limits based on table.
Quiz 6 Confidence intervals z Distribution t Distribution.
The Central Limit Theorem For simple random samples from any population with finite mean and variance, as n becomes increasingly large, the sampling distribution.
Confidence Intervals for Means. point estimate – using a single value (or point) to approximate a population parameter. –the sample mean is the best point.
Measures of Variability Objective: Students should know what a variance and standard deviation are and for what type of data they typically used.
Statistics 101 Class 6. Overview Sample and populations Sample and populations Why a Sample Why a Sample Types of samples Types of samples Revisiting.
Chapter 11 – 1 Chapter 7: Sampling and Sampling Distributions Aims of Sampling Basic Principles of Probability Types of Random Samples Sampling Distributions.
Chapter 10 – Sampling Distributions Math 22 Introductory Statistics.
Chapter 7: Sampling and Sampling Distributions
Confidence Interval Estimation for a Population Proportion Lecture 31 Section 9.4 Wed, Nov 17, 2004.
STA291 Statistical Methods Lecture 18. Last time… Confidence intervals for proportions. Suppose we survey likely voters and ask if they plan to vote for.
Section 5.4 Sampling Distributions and the Central Limit Theorem Larson/Farber 4th ed.
Determination of Sample Size: A Review of Statistical Theory
Chapter 7 Sampling and Sampling Distributions ©. Simple Random Sample simple random sample Suppose that we want to select a sample of n objects from a.
8 Sampling Distribution of the Mean Chapter8 p Sampling Distributions Population mean and standard deviation,  and   unknown Maximal Likelihood.
Sampling Error SAMPLING ERROR-SINGLE MEAN The difference between a value (a statistic) computed from a sample and the corresponding value (a parameter)
1 Section 10.1 Estimating with Confidence AP Statistics January 2013.
T06-02.S - 1 T06-02.S Standard Normal Distribution Graphical Purpose Allows the analyst to analyze the Standard Normal Probability Distribution. Probability.
T T Population Confidence Intervals Purpose Allows the analyst to analyze the difference of 2 population means and proportions for sample.
Lecture 9. Continuous Probability Distributions David R. Merrell Intermediate Empirical Methods for Public Policy and Management.
T T Population Sample Size Calculations Purpose Allows the analyst to analyze the sample size necessary to conduct "statistically significant"
What is a Confidence Interval?. Sampling Distribution of the Sample Mean The statistic estimates the population mean We want the sampling distribution.
Chapter 4 Variability. Introduction Purpose of measures of variability Consider what we know if we know that the mean test score was 75 Single score to.
AP Statistics.  Has been about the distribution of sample means  and the distribution of the difference of sample means.  and the distribution of sample.
Confidence Intervals INTRO. Confidence Intervals Brief review of sampling. Brief review of the Central Limit Theorem. How do CIs work? Why do we use CIs?
Control the population proportion through the slider.
ESTIMATION OF THE MEAN. 2 INTRO :: ESTIMATION Definition The assignment of plausible value(s) to a population parameter based on a value of a sample statistic.
Sampling Distributions
T T Population Hypothesis Tests Purpose Allows the analyst to analyze the results of hypothesis testing of the difference of 2 population.
T T05-01 Binomial Distribution Purpose Allows the analyst to analyze a Binomial Distribution with up to 50 trials. Probability Scenario's, Expected.
T T05-02 Poisson Distribution Purpose Allows the analyst to analyze a Poisson Distribution. Probability Scenario's, Expected Value, Variance and.
Political Science 30: Political Inquiry. The Magic of the Normal Curve Normal Curves (Essentials, pp ) The family of normal curves The rule of.
 Confidence Intervals  Around a proportion  Significance Tests  Not Every Difference Counts  Difference in Proportions  Difference in Means.
 Normal Curves  The family of normal curves  The rule of  The Central Limit Theorem  Confidence Intervals  Around a Mean  Around a Proportion.
Chapter 6: Sampling Distributions
Sampling and Sampling Distributions
STANDARD ERROR OF SAMPLE
Sampling Distributions for a Proportion
CHAPTER 7 Sampling Distributions
Sampling Distribution
Sampling Distribution
Year-3 The standard deviation plus or minus 3 for 99.2% for year three will cover a standard deviation from to To calculate the normal.
Sampling Distribution Models
Sampling Distribution of a Sample Proportion
Sampling Distributions
CHAPTER 15 SUMMARY Chapter Specifics
CHAPTER 7 Sampling Distributions
CHAPTER 7 Sampling Distributions
Section 12.2 Comparing Two Proportions
Determining Which Method to use
CHAPTER 7 Sampling Distributions
Chapter 12 Inference for Proportions
CHAPTER 7 Sampling Distributions
CHAPTER 7 Sampling Distributions
Section 9.2: Sample Proportions
Chapter 4 (cont.) The Sampling Distribution
Presentation transcript:

T T Population Sampling Distribution Purpose Allows the analyst to determine the mean and standard deviation of a sampling distribution for population scenario's involving means and proportions. The template also calculates the plus and minus 1, 2 and 3 standard deviation points on the sampling distribution. A graphical display of all these calculations showing the approximate normal sampling distribution is created. Inputs Mean Scenario Sample Size Population Mean & Standard Deviation Proportion Scenario Sample Size Population proportion Outputs Sampling Distribution Statistics Mean & Standard Error mean – 3sd, mean – 2sd, mean – 1sd, mean + 1sd, mean +2sd, mean + 3sd Graph of Sampling Distribution

T Mean Scenario: Input the mean, standard deviation, & sample size Sampling Distribution statistics and graph are automatically calculated

T Proportion Scenario: Input the mean, standard deviation, & sample size Sampling Distribution statistics and graph are automatically calculated

T Mean Scenario: Example Calculate the sampling distribution mean and standard error for a sample of size 30 drawn from a population with the following parameters population mean of 51,800 population standard deviation of 4000 Draw a graph of the sampling distribution showing the sampling distribution mean plus and minus 1, 2 and 3 standard deviations.

T Sampling Distribution statistics and graph are automatically calculated

T Calculate the sampling distribution expected value and standard error for a sample of size 30 drawn from a population with the following parameter population proportion of.60 Draw a graph of the sampling distribution showing the sampling distribution expected value plus and minus 1, 2 and 3 standard deviations. Proportion Scenario: Example

T Sampling Distribution statistics and graph are automatically calculated