Sampling Distributions

Slides:

Advertisements

Similar presentations

Beyond random..  A stratified sample results when a population is separated into two or more subgroups, called strata, and simple random samples are.

Advertisements

IPP Screening Audit IPP Meeting May 31, 2006 Preeti Pathela

Estimation Goal: Use sample data to make predictions regarding unknown population parameters Point Estimate - Single value that is best guess of true parameter.

Austin Cole February 16, Outline I. Sampling a. Bad Sampling Methods b. Random Sampling II. Experiments III. Applying Sample to a Population IV.

Chapter 11 Chi-Square Procedures 11.3 Chi-Square Test for Independence; Homogeneity of Proportions.

Sampling Distributions & Standard Error Lesson 7.

Review from before Christmas Break. Sampling Distributions Properties of a sampling distribution of means:

Data Gathering Techniques. Essential Question: What are the different methods for gathering data about a population?

How do I collect sample data from population? 7.6 Sample Data and Populations Example 1 Collect data by randomly sampling A gym has 467 female members.

1 Chapter 2: Sampling and Surveys. 2 Random Sampling Exercise Choose a sample of n=5 from our class, noting the proportion of females in your sample.

1 Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Example: In a recent poll, 70% of 1501 randomly selected adults said they believed.

Confidence Intervals for a Population Proportion Excel.

1 Week n = 10, p = 0.4 mean = n p = 4 sd = root(n p q) ~ 1.55.

1 Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Example: In a recent poll, 70% of 1501 randomly selected adults said they believed.

Lab Chapter 9: Confidence Interval E370 Spring 2013.

Random numbers. Using Random Number Table 1.Randomly select in the table a 1-digit number. Describe the position of that number (e.g. 5 th row, 13 th.

Margin of Error S-IC.4 Use data from a sample survey to estimate a population mean or proportion; develop a margin of error through the use of simulation.

Political Science 30: Political Inquiry. The Magic of the Normal Curve Normal Curves (Essentials, pp ) The family of normal curves The rule of.

 Normal Curves  The family of normal curves  The rule of  The Central Limit Theorem  Confidence Intervals  Around a Mean  Around a Proportion.

CHAPTER 8 ESTIMATING WITH CONFIDENCE 8.2 Estimating a Population Proportion Outcome: I will state and check all necessary conditions for constructing a.

Important statistical terms Population: a set which includes all measurements of interest to the researcher (The collection of all responses, measurements,

CHAPTER 8 Estimating with Confidence

MATB344 Applied Statistics

CHAPTER 8 Estimating with Confidence

CHAPTER 8 Estimating with Confidence

CHAPTER 8 Estimating with Confidence

CHAPTER 8 Estimating with Confidence

Sampling Distributions

CHAPTER 8 Estimating with Confidence

Opening Routine.

Estimates and Sample Sizes Sections 6-2 & 6-4

SAMPLING (Zikmund, Chapter 12.

Chapter 5 STATISTICS (PART 2).

Chapter 4 Simple Random Sampling

Turn in the Margin of Error worksheet.

Statistics Section 1.2 Identify different methods for selecting a sample Simulate a random process Review: quantitative and qualitative variables, population.

8.2: Estimating a Population Proportion

Sampling Population – any well-defined set of units of analysis; the group to which our theories apply Sample – any subset of units collected in some manner.

Inferences and Conclusions from Data

Chapter 7 Sampling Distributions.

Introduction to Probability and Statistics

Select and draw conclusions from samples

M A R I O F. T R I O L A Estimating Population Proportions Section 6-5

CHAPTER 8 Estimating with Confidence

Chapter 6 Confidence Intervals.

Estimation Goal: Use sample data to make predictions regarding unknown population parameters Point Estimate - Single value that is best guess of true parameter.

The Table Categorization

Public Opinion American Government.

Honors Advanced Algebra Presentation 1-3

Do now- Pick the best solution

Chapter 7 Sampling Distributions.

CHAPTER 8 Estimating with Confidence

CHAPTER 8 Estimating with Confidence

CHAPTER 8 Estimating with Confidence

5.1 – Designing Samples.

Chapter 7: The Distribution of Sample Means

Hypothesis Testing II ?10/10/1977?.

Chapter 7 Sampling Distributions.

CHAPTER 8 Estimating with Confidence

From Samples to Populations

Sampling Presented By Miss. Amunekar Shubhangi Mahadev.

Lecture Slides Elementary Statistics Twelfth Edition

CHAPTER 8 Estimating with Confidence

Sampling Techniques Statistics.

Chapter 7 Sampling Distributions.

Section 9.2: Sample Proportions

CHAPTER 8 Estimating with Confidence

Chapter 4 (cont.) The Sampling Distribution

Presentation transcript:

Sampling Distributions

How to Pick a Random Sample Exercise 2 How to Pick a Random Sample 54580 81507 27102 54537 55894 33006 042 We want to generate a random sample of 12 Algebra 2 students from a total of 81 students in Maneesha’s classes. Number all students from 01 to 81. Start from any leftmost row of a random number table. Leave out any 2 digit number beyond 81. Skip a duplicate number. Choose 12 random numbers. For example 1st four random numbers from above row would be 54, 58, 08 and 15. Now discuss with your group how you would use the above row of random numbers to select a sample of 60 (find first four) from 625 employees).

Generating Random Numbers on Your Calculator (1, 81)

Work as a group to complete the following: Exercise 4 Work as a group to complete the following: Person 1: Chooses and states the Statistical Question of interest pertaining to the population. Person 2: Identifies a population characteristic and a sample characteristic based on a sample of 40 students. Person 3: States what property your sample must have in order for you to generalize the results to the whole school. Person 4: Include details on how you would select the sample. I will call on a group randomly to resent the process for their chosen question.

Margin of Error +/- 5.6% http://www.bloomberg.com/politics/articles/2016-03-24/democrats-evenly-split-over-clinton-sanders-in-bloomberg-poll-im63yb0w

Sampling Distribution of a Sample Proportion POPULATION of High School Students in Sports Random Samples n=30 n=30 n=30 40% of students participating in sports are female p =0.40 Mean of Sample Proportion = 0.4