Lesson 20: Estimating a Population Proportion Students use data from a random sample to estimate a population proportion.

Slides:



Advertisements
Similar presentations
Two way Tables.
Advertisements

Sampling Distributions and Sample Proportions
Chapter 3 (Introducing density curves) When given a Histogram or list of data, we often are asked to estimate the relative position of a particular data.
Common Core Investigation 5.1. Today I will understand that information can be gained about a population by examining the sample where random sampling.
Normal Distributions What is a Normal Distribution? Why are Many Variables Normally Distributed? Why are Many Variables Normally Distributed? How Are Normal.
Estimating a Population Proportion
Estimation 1.Appreciate the importance of random sampling 2.Understand the concept of estimation from samples 3.Understand the Central Limit Theorem 4.Be.
2-4 Round 3,531 to the nearest hundred.
Approximations - Rounding
Probability and the Sampling Distribution Quantitative Methods in HPELS 440:210.
Math Rounding By Grade 4.
Review of normal distribution. Exercise Solution.
Thinking Mathematically
Warm-up Ch. 4 Practice Test
+ Chapter 10: Comparing Two Populations or Groups Section 10.1a Comparing Two Proportions.
Lesson Confidence Intervals about a Population Standard Deviation.
Slide 1 Lecture 4: Measures of Variation Given a stem –and-leaf plot Be able to find »Mean ( * * )/10=46.7 »Median (50+51)/2=50.5 »mode.
Sampling Distributions
Sampling Distributions & Standard Error Lesson 7.
Plotting Data Exploring Computer Science Lesson 5-7.
Data Gathering Techniques. Essential Question: What are the different methods for gathering data about a population?
LECTURE 3 SAMPLING THEORY EPSY 640 Texas A&M University.
Chapter 2 Lesson 3.
Statistics: Mean of Absolute Deviation
+ The Practice of Statistics, 4 th edition – For AP* STARNES, YATES, MOORE Chapter 7: Sampling Distributions Section 7.2 Sample Proportions.
Parameters and Statistics What is the average income of American households? Each March, the government’s Current Population Survey (CPS) asks detailed.
The Central Tendency is the center of the distribution of a data set. You can think of this value as where the middle of a distribution lies. Measure.
Sampling Distributions. Essential Question: How is the mean of a sampling distribution related to the population mean or proportion?
 What do we mean by “volume” in measurement?  How do we measure volume?
Copyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Chapter 7 Sampling and Sampling Distributions.
Sample Proportions Target Goal: I can FIND the mean and standard deviation of the sampling distribution of a sample proportion. DETERMINE whether or not.
Lesson 9 - R Chapter 9 Review.
Chapter 7 Sampling Distributions Target Goal: DISTINGUISH between a parameter and a statistic. DEFINE sampling distribution. DETERMINE whether a statistic.
+ DO NOW. + Chapter 8 Estimating with Confidence 8.1Confidence Intervals: The Basics 8.2Estimating a Population Proportion 8.3Estimating a Population.
SAMPLE SURVEYS Objective: How do we find out information about populations using samples? HOMEWORK: On pages , READ SECTION 5-1 (really read it!)
CONFIDENCE INTERVALS: THE BASICS Unit 8 Lesson 1.
Parameter or statistic? The mean income of the sample of households contacted by the Current Population Survey was $60,528.
Stage 1 Statistics students from Auckland university Sampling variability & the effect of sample size.
1.1 Constructing and Interpreting Visual Displays of Data.
Chapter 3 Lesson 3.1 Graphical Methods for Describing Data 3.1: Displaying Categorical Data.
Chapter II Methods for Describing Sets of Data Exercises.
Chapter 7: Sampling Distributions Section 7.2 Sample Proportions.
Students understand that a meaningful difference between two sample means is one that is greater than would have been expected due to just sampling variability.
SWBAT: -Interpret the t-distribution and use a t- distribution table -Construct a confidence interval when n
Lesson 18: Sampling Variability and the Effect of Sample Size Students use data from a random sample to estimate a population mean. Students know that.
Chapter 6 Test Review z area ararea ea
Chapter 9 Sampling Distributions 9.1 Sampling Distributions.
Lesson Topic: The Mean Absolute Deviation (MAD) Lesson Objective: I can…  I can calculate the mean absolute deviation (MAD) for a given data set.  I.
Describing Data Week 1 The W’s (Where do the Numbers come from?) Who: Who was measured? By Whom: Who did the measuring What: What was measured? Where:
Chapter 8 Sampling Methods and the Central Limit Theorem.
LESSON 23: USING SAMPLE DATA TO DECIDE IF TWO POPULATION MEANS ARE DIFFERENT.
Should We Believe Statistics??? Lesson #13 Chapter 2.
CHAPTER 8 ESTIMATING WITH CONFIDENCE 8.2 Estimating a Population Proportion Outcome: I will state and check all necessary conditions for constructing a.
LESSON 19: UNDERSTANDING VARIABILITY IN ESTIMATES Student Outcomes Students understand the term sampling variability in the context of estimating a population.
Lesson 17: Sampling Variability Students use data from a random sample to estimate a population mean. Students understand the term “sampling variability”
Math CC7/8 – Mar. 20 Math Notebook: Things Needed Today (TNT):
Confidence Intervals about a Population Proportion
Scatter Plots and Association
Sampling Distributions
Estimating Square Roots of Numbers
Chapter 10 Analyzing the Association Between Categorical Variables
Confidence Intervals: The Basics
Lesson: 10 – 1 Circles and Circumference
Check it out! 1.5.1: Estimating Sample Proportions
Section 6-4 – Confidence Intervals for the Population Variance and Standard Deviation Estimating Population Parameters.
Unit 4 Lesson 10 Estimate Products Use Rounding to Estimate Products.
Ticket in the Door GA Milestone Practice Test
Ticket in the Door GA Milestone Practice Test
Estimating a Population Proportion Notes
Hypothesis Testing for Proportions
Presentation transcript:

Lesson 20: Estimating a Population Proportion Students use data from a random sample to estimate a population proportion.

 A class of 30 seventh graders wanted to estimate the proportion of middle school students who were vegetarians. Each seventh grader took a random sample of 20 middle-school students. Students were asked the question, “Are you a vegetarian?” One sample of 20 students had three students who said that they were vegetarians. For this sample, the sample proportion is 3/20 or Following are the proportions of vegetarians the seventh graders found in 30 samples. Each sample was of size 20 students. The proportions are rounded to the nearest hundredth  Example 1: Mean of Sample Proportions

1.The first student reported a sample proportion of Interpret this value in terms of the summary of the problem in the example. 2.Another student reported a sample proportion of 0. Did this student do something wrong when selecting the sample of middle school students? 3.Assume you were part of this seventh grade class and you got a sample proportion of 0.20 from a random sample of middle school students. Based on this sample proportion, what is your estimate for the proportion of all middle school students who are vegetarians? Exercises 1–3

4. Construct a dot plot of the 30 sample proportions Describe the shape of the distribution. 6. Using the 30 class results listed above, what is your estimate for the proportion of all middle school students who are vegetarians? Explain how you made this estimate.

7. Calculate the mean of the 30 sample proportions. How close is this value to the estimate you made in Exercise 6?

8. The proportion of all middle school students who are vegetarians is This is the actual proportion for the entire population of middle school students used to select the samples. How the mean of the 30 sample proportions compares with the actual population proportion depends on the students’ samples. 9. Do the sample proportions in the dot plot tend to cluster around the value of the population proportion? Are any of the sample proportions far away from 0.15? List the proportions that are far away from 0.15.

 Two hundred middle school students at Roosevelt Middle School responded to several survey questions. A printed copy of the responses the students gave to various questions is provided with this lesson.  See your homework packet, pg 235 Example 2: Estimating Population Proportion

 The data are organized in columns and are summarized by the following table: The class wants to determine the proportion of Roosevelt Middle School students who answered freeze time to the last question. You will use a sample of the Roosevelt Middle School population to estimate the proportion of the students who answered freeze time to the last question

10. Select a random sample of 20 student responses from the data file. Explain how you selected the random sample. 11. In a table, list the 20 responses for your sample. 12. Estimate the population proportion of students who responded “freeze time” by calculating the sample proportion of the 20 sampled students who responded “freeze time” to the question. Exercises 10–17

13. Combine your sample proportion with other students’ sample proportions and create a dot plot of the distribution of the sample proportions of students who responded “freeze time” to the question. 14. By looking at the dot plot, what is the value of the proportion of the 200 Roosevelt Middle School students who responded “freeze time” to the question?

15. Usually you will estimate the proportion of Roosevelt Middle School students using just a single sample proportion. How different was your sample proportion from your estimate based on the dot plot of many samples? 16. Circle your sample proportion on the dot plot. How does your sample proportion compare with the mean of all the sample proportions?

17. Calculate the mean of all of the sample proportions. Locate the mean of the sample proportions in your dot plot; mark this position with an “X.” How does the mean of the sample proportions compare with your sample proportion?

 Lesson Summary  The sample proportion from a random sample can be used to estimate a population proportion. The sample proportion will not be exactly equal to the population proportion, but values of the sample proportion from random samples tend to cluster around the actual value of the population proportion.