Chapter 6 Test Review. ....9200 z area ararea ea 0.0400.

Slides:



Advertisements
Similar presentations
Chapter 6 Confidence Intervals.
Advertisements

Statistics and Quantitative Analysis U4320
Statistics for Managers Using Microsoft Excel, 4e © 2004 Prentice-Hall, Inc. Chap 7-1 Chapter 7 Confidence Interval Estimation Statistics for Managers.
Business Statistics: A Decision-Making Approach, 6e © 2005 Prentice-Hall, Inc. Chap 7-1 Introduction to Statistics: Chapter 8 Estimation.
Sampling and Sampling Distributions
Business Statistics, A First Course (4e) © 2006 Prentice-Hall, Inc. Chap 8-1 Chapter 8 Confidence Interval Estimation Business Statistics, A First Course.
Confidence Intervals for the Mean (σ Unknown) (Small Samples)
Review of normal distribution. Exercise Solution.
Business Statistics: A Decision-Making Approach, 6e © 2005 Prentice-Hall, Inc. Chap 7-1 Business Statistics: A Decision-Making Approach 6 th Edition Chapter.
Confidence Interval Estimation
Confidence Intervals Chapter 6. § 6.1 Confidence Intervals for the Mean (Large Samples)
Chapter 6 Confidence Intervals.
Chapter 6 Confidence Intervals 1 Larson/Farber 4th ed.
Section 8.2 Estimating Population Means (Large Samples) HAWKES LEARNING SYSTEMS math courseware specialists Copyright © 2008 by Hawkes Learning Systems/Quant.
Albert Morlan Caitrin Carroll Savannah Andrews Richard Saney.
QBM117 Business Statistics Estimating the population mean , when the population variance  2, is known.
6 Chapter Confidence Intervals © 2012 Pearson Education, Inc.
Confidence Intervals Chapter 6. § 6.1 Confidence Intervals for the Mean (Large Samples)
Confidence Intervals 1 Chapter 6. Chapter Outline Confidence Intervals for the Mean (Large Samples) 6.2 Confidence Intervals for the Mean (Small.
Population All members of a set which have a given characteristic. Population Data Data associated with a certain population. Population Parameter A measure.
Confidence Intervals for Means. point estimate – using a single value (or point) to approximate a population parameter. –the sample mean is the best point.
Estimates and Sample Sizes Lecture – 7.4
Confidence Intervals Review
Confidence Intervals for the Mean (σ known) (Large Samples)
8 Chapter Estimation © 2012 Pearson Education, Inc.
AP Statistics Chap 10-1 Confidence Intervals. AP Statistics Chap 10-2 Confidence Intervals Population Mean σ Unknown (Lock 6.5) Confidence Intervals Population.
Confidence Interval Proportions.
Estimating and Constructing Confidence Intervals.
STA291 Statistical Methods Lecture 18. Last time… Confidence intervals for proportions. Suppose we survey likely voters and ask if they plan to vote for.
Estimation Chapter 8. Estimating µ When σ Is Known.
Unit 6 Confidence Intervals If you arrive late (or leave early) please do not announce it to everyone as we get side tracked, instead send me an .
Chap 7-1 A Course In Business Statistics, 4th © 2006 Prentice-Hall, Inc. A Course In Business Statistics 4 th Edition Chapter 7 Estimating Population Values.
Basic Business Statistics, 10e © 2006 Prentice-Hall, Inc. Chap 8-1 Confidence Interval Estimation.
Confidence Intervals for the Mean (Small Samples) 1 Larson/Farber 4th ed.
Chap 7-1 A Course In Business Statistics, 4th © 2006 Prentice-Hall, Inc. A Course In Business Statistics 4 th Edition Chapter 7 Estimating Population Values.
Confidence Intervals Chapter 6. § 6.3 Confidence Intervals for Population Proportions.
Determining the Appropriate Sample Size
Copyright ©2013 Pearson Education, Inc. publishing as Prentice Hall
Understanding Basic Statistics
Review Normal Distributions –Draw a picture. –Convert to standard normal (if necessary) –Use the binomial tables to look up the value. –In the case of.
Business Statistics: A Decision-Making Approach, 6e © 2005 Prentice-Hall, Inc. Chap 7-1 Business Statistics: A Decision-Making Approach 6 th Edition Chapter.
Estimating a Population Mean. Student’s t-Distribution.
Confidence Intervals for a Population Mean, Standard Deviation Unknown.
Copyright © 2015, 2012, and 2009 Pearson Education, Inc. 1 Section 6.2 Confidence Intervals for the Mean (  Unknown)
Section 6.2 Confidence Intervals for the Mean (Small Samples) Larson/Farber 4th ed.
Chapter Outline 6.1 Confidence Intervals for the Mean (Large Samples) 6.2 Confidence Intervals for the Mean (Small Samples) 6.3 Confidence Intervals for.
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.
Review Confidence Intervals Sample Size. Estimator and Point Estimate An estimator is a “sample statistic” (such as the sample mean, or sample standard.
Basic Business Statistics, 11e © 2009 Prentice-Hall, Inc. Chap 8-1 Chapter 8 Confidence Interval Estimation Business Statistics: A First Course 5 th Edition.
Copyright © 2015, 2012, and 2009 Pearson Education, Inc. 1 Chapter Confidence Intervals 6.
Review from before Christmas Break. Sampling Distributions Properties of a sampling distribution of means:
SWBAT: -Interpret the t-distribution and use a t- distribution table -Construct a confidence interval when n
Chapter Confidence Intervals 1 of 31 6  2012 Pearson Education, Inc. All rights reserved.
Section 6.2 Confidence Intervals for the Mean (Small Samples) © 2012 Pearson Education, Inc. All rights reserved. 1 of 83.
Chapter 6 Confidence Intervals 1 Larson/Farber 4th ed.
CHAPTER 8 Estimating with Confidence
Chapter 6 Confidence Intervals.
CHAPTER 8 Estimating with Confidence
Chapter 6 Confidence Intervals.
Chapter 6 Confidence Intervals.
In a sample of 56 students, 32 said they plan to go to college
Elementary Statistics: Picturing The World
Chapter 6 Confidence Intervals.
Chapter 6 Confidence Intervals.
Confidence Intervals: The Basics
Chapter 6 Confidence Intervals.
Estimates and Sample Sizes Lecture – 7.4
Chapter 6 Confidence Intervals.
How Confident Are You?.
Presentation transcript:

Chapter 6 Test Review

z area ararea ea

The critical value for a 90% confidence level is

A random sample of 125 students has a grade point average with a mean of 2.94 and with a standard deviation of Construct the confidence interval for the population mean, μ, if the confidence level is 95%. The sample size is ≥ 30, so the Central Limit Theorem tells us the sampling distribution is approximately. We can use the normal distribution. The critical value for a 95% confidence level is The population standard deviation is unknown, however we can use the sample standard deviation in its place.

A random sample of 125 students has a grade point average with a mean of 2.94 and with a standard deviation of Construct the confidence interval for the population mean, μ, if the confidence level is 95%.

Interpret the confidence interval. We are 95% confident that the interval from 2.81 to 3.07 captures the actual population mean.

The standard IQ test has a mean of 100 and a standard deviation of 13. We want to be 97% confident that we are within 3 IQ points of the true mean. Determine the required sample size. First, we need the critical value for the 97% confidence level.

The standard IQ test has a mean of 100 and a standard deviation of 13. We want to be 97% confident that we are within 3 IQ points of the true mean. Determine the required sample size.

The required sample size is at least 89 Round up to the next whole number. Square both sides

Here we use the t-distribution table. First, we need the degrees of freedom. Go to the t-distribution table. Line up the degrees of freedom, 19, with the confidence level,.90.

Find the value of the margin of error for a 95% confidence level for a sample size of 10 with a standard deviation of 3.9. Assume the population is approximately distributed. The sample size is less than 30. The population standard deviation is unknown. The population is approximately distributed. We can use the t-distribution. First, we need the degrees of freedom.

Find the value of the margin of error for a 95% confidence level for a sample size of 10 with a standard deviation of 3.9. Assume the population is approximately distributed. Go to the t-distribution table. Line up the degrees of freedom, 9, with the confidence level,.95. Use the number from the table.

Find the value of the margin of error for a 95% confidence level for a sample size of 10 with a standard deviation of 3.9. Assume the population is approximately distributed.

In a random sample of 28 families, the average weekly food expense was $95.60 with a standard deviation of $ Determine whether a normal distribution or a t- distribution should be used or whether neither of these can be used to construct a confidence interval. Assume the distribution of weekly food expenses is normally shaped. No Is the population normally shaped? Yes Do we know the population standard deviation? No A)Use the t-distribution. B)Use the normal distribution. C)Cannot use the normal distribution or t-distribution. Correct answer

Find the degrees of freedom?

Interpret the confidence interval.

When 475 college seniors were surveyed, 125 said they had taken a college statistics course. Find a point estimate p, the population proportion of college seniors who had taken a college statistics course. Round to two decimal places.

Interpret the confidence interval.

In a survey of 10 golfers, 2 were found to be left-handed. Is it practical to construct the 90% confidence interval proportion, p?. Explain.

A pollster wishes to estimate the proportion of U.S. voters who favor capital punishment. How large a sample is needed to be 90% confident that the sample proportion will not differ from the true proportion by more than 4%?

A pollster wishes to estimate the proportion of U.S. voters who favor capital punishment. A random sample of 625 voters was selected and it was found that 125 voters favor capital punishment. Construct a 90% confidence interval of the true proportion of the population.