L3.2 Confidence Intervals Starters Starters A B C D E F G H I J K L M NABCDEFGHIJKLMN.

Slides:



Advertisements
Similar presentations
Chapter 12: Testing hypotheses about single means (z and t) Example: Suppose you have the hypothesis that UW undergrads have higher than the average IQ.
Advertisements

Statistics Estimates and Sample Sizes
9.1 confidence interval for the population mean when the population standard deviation is known
Statistics Versus Parameters
© 2010 Pearson Prentice Hall. All rights reserved Confidence Intervals for the Population Proportion.
Confidence Intervals This chapter presents the beginning of inferential statistics. We introduce methods for estimating values of these important population.
Regression Inferential Methods
Unit 6 Data and Statistics Review Game. Please select a Team Nemo 2.Dory 3.Bruce 4.Squirt 5.Jacques.
Chapter 19 Confidence Intervals for Proportions.
STAT E100 Exam 2 Review.
CONFIDENCE INTERVALS HONORS ADVANCED ALGEBRA PRESENTATION 1-9.
EPIDEMIOLOGY AND BIOSTATISTICS DEPT Esimating Population Value with Hypothesis Testing.
Intro to Statistics for the Behavioral Sciences PSYC 1900 Lecture 10: Hypothesis Tests for Two Means: Related & Independent Samples.
8-1 Introduction In the previous chapter we illustrated how a parameter can be estimated from sample data. However, it is important to understand how.
Confidence Intervals for the Population Mean  (  Known)
Statistics Lecture 22. Last Day…completed 5.1 Today Parts of Section 5.3 and 5.4.
1 Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Section 7.2 Estimating a Population Proportion Objective Find the confidence.
Probability Population:
Standard error of estimate & Confidence interval.
Business Statistics: Communicating with Numbers
© 2010 Pearson Prentice Hall. All rights reserved Chapter Estimating the Value of a Parameter Using Confidence Intervals 9.
Aim: How do we find confidence interval? HW#9: complete question on last slide on loose leaf (DO NOT ME THE HW IT WILL NOT BE ACCEPTED)
Copyright © Cengage Learning. All rights reserved. 13 Linear Correlation and Regression Analysis.
How confident can we be in our analysis?. Unit Plan – 10 lessons  Recap on CLT and Normal Distribution  Confidence intervals for the mean  Confidence.
Copyright © 2013, 2010 and 2007 Pearson Education, Inc. Chapter Inference on the Least-Squares Regression Model and Multiple Regression 14.
Aim: How do we find an appropriate sample size? HW#10: Complete question on last slide Quiz Friday.
Chapter 8: Confidence Intervals
Estimation of Statistical Parameters
ESTIMATION. STATISTICAL INFERENCE It is the procedure where inference about a population is made on the basis of the results obtained from a sample drawn.
Population All members of a set which have a given characteristic. Population Data Data associated with a certain population. Population Parameter A measure.
CS433 Modeling and Simulation Lecture 16 Output Analysis Large-Sample Estimation Theory Dr. Anis Koubâa 30 May 2009 Al-Imam Mohammad Ibn Saud University.
Section 8.1 Estimating  When  is Known In this section, we develop techniques for estimating the population mean μ using sample data. We assume that.
By C. Kohn Waterford Agricultural Sciences.   A major concern in science is proving that what we have observed would occur again if we repeated the.
General Confidence Intervals Section Starter A shipment of engine pistons are supposed to have diameters which vary according to N(4 in,
VI. Evaluate Model Fit Basic questions that modelers must address are: How well does the model fit the data? Do changes to a model, such as reparameterization,
Estimating the Value of a Parameter Using Confidence Intervals
1 Estimation From Sample Data Chapter 08. Chapter 8 - Learning Objectives Explain the difference between a point and an interval estimate. Construct and.
How confident can we be in our decisions?. Unit Plan – Week 3-6 (16 lessons)  Distributions – Normal and Otherwise  The Central Limit Theorem  Confidence.
1 How do we interpret Confidence Intervals (Merit)? A 95% Confidence Interval DOES NOT mean that there is a 95 % probability that the population mean lies.
Measures of central tendency are statistics that express the most typical or average scores in a distribution These measures are: The Mode The Median.
Confidence Intervals and Tests of Proportions. Assumptions for inference when using sample proportions: We will develop a short list of assumptions for.
Introduction  Populations are described by their probability distributions and parameters. For quantitative populations, the location and shape are described.
1 Chapter 6 Estimates and Sample Sizes 6-1 Estimating a Population Mean: Large Samples / σ Known 6-2 Estimating a Population Mean: Small Samples / σ Unknown.
Business Statistics: A Decision-Making Approach, 6e © 2005 Prentice-Hall, Inc. Chap 7-1 4th Lesson Estimating Population Values part 2.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Chapter 22 Comparing Two Proportions.
CHEMISTRY ANALYTICAL CHEMISTRY Fall Lecture 6.
1 CHAPTER 4 (PART 2) STATISTICAL INFERENCES. 2 Confidence interval for population proportion Confidence Interval for a Proportions Confidence Interval.
Copyright © 2011 Pearson Education, Inc. Putting Statistics to Work.
What is a Confidence Interval?. Sampling Distribution of the Sample Mean The statistic estimates the population mean We want the sampling distribution.
Understanding Basic Statistics
Chapter 11: Estimation of Population Means. We’ll examine two types of estimates: point estimates and interval estimates.
1/5/2016Slide 1 We will use a one-sample test of proportions to test whether or not our sample proportion supports the population proportion from which.
Vocab Normal, Standard Normal, Uniform, t Point Estimate Sampling distribution of the means Confidence Interval Confidence Level / α.
Understanding CI for Means Ayona Chatterjee Math 2063 University of West Georgia.
Uncertainty2 Types of Uncertainties Random Uncertainties: result from the randomness of measuring instruments. They can be dealt with by making repeated.
Hypothesis Testing. Suppose we believe the average systolic blood pressure of healthy adults is normally distributed with mean μ = 120 and variance σ.
Chapter 8 Estimation ©. Estimator and Estimate estimator estimate An estimator of a population parameter is a random variable that depends on the sample.
Section 6-1 – Confidence Intervals for the Mean (Large Samples) Estimating Population Parameters.
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.
Statistical Inference for the Mean Objectives: (Chapter 8&9, DeCoursey) -To understand the terms variance and standard error of a sample mean, Null Hypothesis,
As a data user, it is imperative that you understand how the data has been generated and processed…
Confidence Intervals and Sample Size. Estimates Properties of Good Estimators Estimator must be an unbiased estimator. The expected value or mean of.
Confidence Intervals Dr. Amjad El-Shanti MD, PMH,Dr PH University of Palestine 2016.
STATISTICS People sometimes use statistics to describe the results of an experiment or an investigation. This process is referred to as data analysis or.
ESTIMATION.
Introduction to Probability and Statistics Twelfth Edition
Confidence Intervals for a Population Mean,
A 95% confidence interval for the mean, μ, of a population is (13, 20)
Estimating the Value of a Parameter
Modeling with the normal distribution
Presentation transcript:

L3.2 Confidence Intervals Starters Starters A B C D E F G H I J K L M NABCDEFGHIJKLMN

Starter A Home A population of little pigs have a average weight of 24.3kg (standard deviation of 4.2kg) A wolf caught a random sample of 3 pigs 1) What is the likely total weight of the three pigs? 2) What is the standard deviation of the total weight of the 3 pigs? 3)What is the probability that the total weight is over 65kg?

Starter A Answers Home A population of little pigs have a average weight of 24.3kg (standard deviation of 4.2kg) A wolf caught a random sample of 3 pigs 1) What is the likely total weight of the three pigs? 2) What is the standard deviation of the total weight of the 3 pigs? 3)What is the probability that the total weight is over 65kg?

Starter B Home A population of little pigs have a average weight of 26.8kg (standard deviation of 3.5kg) (they have put on weight since yesterday) A wolf once again caught a random sample of 3 pigs 1) What is the likely average weight of the three pigs? 2) What is the standard deviation of the average weight of the 3 pigs? 3)What is the probability that the average weight is under25kg?

Starter B Answers Home A population of little pigs have a average weight of 26.8kg (standard deviation of 3.5kg) (they have put on weight since yesterday) A wolf once again caught a random sample of 3 pigs 1) What is the likely average weight of the three pigs? 2) What is the standard deviation of the average weight of the 3 pigs? 3)What is the probability that the average weight is under25kg?

Starter C Home A population of little pigs have a average weight of 29.4kg (standard deviation of 3.2kg) (more weight gain) A wolf once again caught a random sample of 3 pigs and he put them in a box weighing 8.5kg to freight them home. 1) What is the average weight of the box containing the pigs? 2) What is the standard deviation of the box containing the pigs? 3)What is the probability that the box containing the pigs at most 100kg?

Starter C Answers Home A population of little pigs have a average weight of 29.4kg (standard deviation of 3.2kg) (more weight gain) A wolf once again caught a random sample of 3 pigs and he put them in a box weighing 8.5kg to freight them home. 1) What is the average weight of the box containing the pigs? 2) What is the standard deviation of the box containing the pigs? 3)What is the probability that the box containing the pigs at most 100kg?

Starter D Home One little pig (who is about to be converted into a selection of pork products) decides to build a house consisting of 20 sticks. The average weight of a stick is 1.8kg (standard deviation of 0.23kg) The sticks were measured to the nearest 0.1kg 1) What is the average total weight of the stick house? 2) What is the variance of the total weight of the stick house? 3)What is the probability that total weight of the stick house is under 35 kg?

Starter D Answers Home One little pig (who is about to be converted into a selection of pork products) decides to build a house consisting of 20 sticks. The average weight of a stick is 1.8kg (standard deviation of 0.23kg) The sticks were measured to the nearest 0.1kg 1) What is the average total weight of the stick house? 2) What is the variance of the total weight of the stick house? 3)What is the probability that total weight of the stick house is under 35 kg?

Starter E Home As the wolf was eating the little pig from the stick house he noted that each mouthful of flesh was independent had an average weight of 240g. He also knew that the standard deviation of all his previous mouthfuls was 45g and he had eaten 34 mouthfuls of pig for dinner. He was clever. 1) If the wolf was to be 95% sure of the average mouthful weight of all previous mouthfuls, what would the upper and lower weight limits be? 2)What is the margin of error for the 95% confidence interval for wolf mouthful size?

Starter E Answers Home As the wolf was eating the little pig from the stick house he noted that each mouthful of flesh was independent had an average weight of 240g. He also knew that the standard deviation of all his previous mouthfuls was 45g and he had eaten 34 mouthfuls of pig for dinner. He was clever. 1) If the wolf was to be 95% sure of the average mouthful weight of all previous mouthfuls, what would the upper and lower weight limits be? 2)What is the margin of error for the 95% confidence interval for wolf mouthful size?

Starter F Home The wolf was tired of pigs so he went to steal Little-Red-Hooding- Rides basket of scones again. He knew the standard deviation of all the scones was 64g but he had forgotten the average scone weight. After terrorizing Hooding-Ride once again he measure her basket of 12 scones and found the average weight was 225g 1) What is the 99% confidence interval for the mean weight of all scones? 2)Little-Red-Hooding-Ride had said the average scone weight was 275g. Is she a lying little...#*!? Give numerical evidence

Starter F Answers Home The wolf was tired of pigs so he went to steal Little-Red-Hooding- Rides basket of scones again. He knew the standard deviation of all the scones was 64g but he had forgotten the average scone weight. After terrorizing Hooding-Ride once again he measure her basket of 12 scones and found the average weight was 225g 1) What is the 99% confidence interval for the mean weight of all scones? 2)Little-Red-Hooding-Ride had said the average scone weight was 275g. Is she a lying little...#*!? Give numerical evidence

Starter G Home The wolf wanted to compare his impressive teeth with those of other wolves. The wolverine magazine described all wolf teeth having a standard deviation of 5mm in length. 1)How many of his own teeth will the wolf need to extract if the mean is to be estimated within 2mm with a 95% level of confidence. 2)What is the margin of error for the confidence interval for tooth length?

Starter G Answers Home The wolf wanted to compare his impressive teeth with those of other wolves. The wolverine magazine described all wolf teeth having a standard deviation of 5mm in length. 1)How many of his own teeth will the wolf need to extract if the mean is to be estimated within 2mm with a 95% level of confidence. 2)What is the margin of error for the confidence interval for tooth length?

Starter H Home The wolf made a comparison between straw and stick housed pigs: He ate 14 straw house pigs and found a mean weight of 26.5kg (Population Standard deviation = 2.8kg) He ate 10 stick house pigs and found a mean weight of 28.4kg (Population Standard deviation = 2.2kg) 1)Calculate the 95% confidence interval for the difference between the population means. 2)Are the straw house and stick house pigs significantly different at the 95% level of confidence. Why?

Starter H Answers Home The wolf made a comparison between straw and stick housed pigs: He ate 14 straw house pigs and found a mean weight of 26.5kg (Population Standard deviation = 2.8kg) He ate 10 stick house pigs and found a mean weight of 28.4kg (Population Standard deviation = 2.2kg) 1)Calculate the 95% confidence interval for the difference between the population means. 2)Are the straw house and stick house pigs significantly different at the 95% level of confidence. Why?

Starter I Home The wolf caught 30 little pigs and found that 12 of them had swine flu and were not fit for consumption as they were all snotty. 1)Calculate the 90% confidence interval for proportion of pigs with swine flu. 2)What is the margin of error for the 95% confidence interval for proportion of pigs with swine flu.

Starter I Answers Home The wolf caught 30 little pigs and found that 12 of them had swine flu and were not fit for consumption as they were all snotty. 1)Calculate the 90% confidence interval for proportion of pigs with swine flu. 2)What is the margin of error for the 95% confidence interval for proportion of pigs with swine flu.

Starter J Home Last year there were 32% of pigs has swine flu 1)How many pigs does the wolf need to sample to get a estimate of the percentage of pigs with swine flu this year with an accuracy of 4%? (at the 90% level of confidence) 2)What is the maximum margin of error for of the proportion of pigs with swine flu this year if 200 were sampled? (at the 90% level of confidence)

Starter J Answers Home Last year there were 32% of pigs has swine flu 1)How many pigs does the wolf need to sample to get a estimate of the percentage of pigs with swine flu this year with an accuracy of 4%? (at the 90% level of confidence) 2)What is the maximum margin of error for of the proportion of pigs with swine flu this year if 200 were sampled? (at the 90% level of confidence)

Starter K Home 1)In the sample of 90 trees the nursery manager discovers that leaf-spot, a disease caused by a fungus, is present in 10% of them. Assuming that the leaf-spot fungus occurs randomly in trees, find a 99% confidence interval for the proportion of all trees currently in stock that have leaf-spot. 2)The manager requires a more accurate indication of the proportion of all trees in stock that have leaf-spot, and decides to take another sample. She wants to know the proportion of all trees in stock with leaf- spot, estimated to within 4% of the true value with a 99% level of confidence. Find the minimum sample size that is required to meet this condition.

Starter K Answers Home 1)In the sample of 90 trees the nursery manager discovers that leaf-spot, a disease caused by a fungus, is present in 10% of them. Assuming that the leaf-spot fungus occurs randomly in trees, find a 99% confidence interval for the proportion of all trees currently in stock that have leaf-spot. 2) She wants to know the proportion of all trees in stock with leaf-spot, estimated to within 4% of the true value with a 99% level of confidence. Find the minimum sample size that is required to meet this condition. Minimum = 1037 OR Minimum =  OR    0.181

Starter L Home Let μ 1 be the mean height of trees in the 2008 stock analysis sample and let μ 2 be the mean height of trees in the 2005 stock analysis sample. 1) Find a 95% confidence interval for μ 1 – μ 2 2) Explain, in terms of the confidence interval in part (a), whether the manager’s belief is justified that the new potting mix has made the trees grow taller tree analysis 2005 tree analysis Sample size (number of trees) 9075 Sample mean height (cm) Sample standard deviation (cm)

Starter L Answers Home Let μ 1 be the mean height of trees in the 2008 stock analysis sample and let μ 2 be the mean height of trees in the 2005 stock analysis sample. 1) Find a 95% confidence interval for μ 1 – μ 2 2) Explain, in terms of the confidence interval in part (a), whether the manager’s belief is justified that the new potting mix has made the trees grow taller tree analysis 2005 tree analysis Sample size (number of trees) 9075 Sample mean height (cm) Sample standard deviation (cm) The manager’s belief is justified because: zero lies outside this interval OR the whole interval is positive. 3.9  3.68 OR 0.22  μ 1 – μ 2  7.58  7.58

Starter M Home The girth of each of the 90 trees in a sample is measured and the following 96% confidence interval is obtained for μ, the mean girth of all trees in stock: 8.3 cm ≤ μ ≤ 34.1 cm 1) Explain, in terms of the girth of all trees in stock, the meaning of this confidence interval. 2) If the sample size had been k times greater, but the sample mean, sample standard deviation and confidence level had stayed the same, what would have been the width of the interval obtained?

Starter M Answers Home 1) Explain, in terms of the girth of all trees in stock, the meaning of this confidence interval. 2) If the sample size had been k times greater, but the sample mean, sample standard deviation and confidence level had stayed the same, what would have been the width of the interval obtained? Current interval width = 25.8 cm. New interval width is times the original interval width. So new interval width is. There is a 96% chance that the interval contains the mean girth of all trees in the nursery. OR If the sampling process was repeated a large number of times, 96% of such intervals would contain the mean girth of all trees in the nursery. NOT!!! “There is a 96% chance that the population mean is within this interval”

Starter N (excellence) Home 1) The nursery manager predicts that the mean height of all the trees in stock will be 150 cm. If this prediction is correct, calculate the probability that a random sample of 90 trees from the nursery’s stock would produce a mean height of cm or less, and comment on what that would imply about such a sample. (Note: use the sample standard deviation of 13.2 cm as an estimate of the population standard deviation.) 2) The mean weight of the potted trees in the sample is 38.7 kg, with a standard deviation of 2.4 kg. A trailer is to be loaded with 12 of these trees. Calculate a 95% confidence interval for T, the true total weight of a trailer-load of 12 trees.

Starter N (excellence) Answers Home 1) The nursery manager predicts that the mean height of all the trees in stock will be 150 cm. If this prediction is correct, calculate the probability that a random sample of 90 trees from the nursery’s stock would produce a mean height of cm or less, and comment on what that would imply about such a sample. (Note: use the sample standard deviation of 13.2 cm as an estimate of the population standard deviation.) 2) The mean weight of the potted trees in the sample is 38.7 kg, with a standard deviation of 2.4 kg. A trailer is to be loaded with 12 of these trees. Calculate a 95% confidence interval for T, the true total weight of a trailer-load of 12 trees. Confidence Interval:  OR  T  It is highly unlikely that a sample would be obtained with a mean height of cm or less.