Docsity
Docsity

Prepare for your exams
Prepare for your exams

Study with the several resources on Docsity


Earn points to download
Earn points to download

Earn points by helping other students or get them with a premium plan


Guidelines and tips
Guidelines and tips

Review for Exam 3 - Elementary Probability and Statistics - Fall 2006 | MATH 1680, Exams of Probability and Statistics

Material Type: Exam; Class: Elementary Probability and Statistics; Subject: Mathematics; University: University of North Texas; Term: Fall 2006;

Typology: Exams

Pre 2010

Uploaded on 08/19/2009

koofers-user-evx
koofers-user-evx 🇺🇸

10 documents

1 / 2

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
MATH 1680: Review for Exam 3.
Fall 2006
The exam will cover Chapters 18, 19, 20, 21, 23, and 26 in the book.
The exam will consist of at most 10 problems (some might have multiple parts) and there will be
at most two problems from each chapter.
The exam problems will be in the same spirit as the homework problems, but slightly more emphasis
will be placed on computation. Using the correct method or formula for a computation is worth
more than half the credit for a problem.
Chapter 18: The Normal Approximation for Probability Histograms Some impor-
tant concepts are:
“Probability histograms represent chance by area.”
When to use the normal curve, how to use the normal curve.
Chapter 19: Sample Surveys Some important concepts are:
Simple random sample population, statistic, parameter.
Chance error and bias.
Chapter 20: Chance Errors in Sampling Some important concepts are:
Expected value and standard error for a sample percentage.
The correction factor when the sample size is large compared to the population size.
Chapter 21: The accuracy of Percentages Some important concepts are:
Bootstrap method for samples when there is a 0-1 box model.
Confidence intervals.
Chapter 23: The Accuracy of Averages Some important concepts are:
Expected value and standard error for averages.
Expected value and standard error for sample averages.
Chapter 26: Tests of Significance Some important concepts are:
Null hypothesis, alternative hypothesis.
The ztest statistic.”
pf2

Partial preview of the text

Download Review for Exam 3 - Elementary Probability and Statistics - Fall 2006 | MATH 1680 and more Exams Probability and Statistics in PDF only on Docsity!

MATH 1680: Review for Exam 3.

Fall 2006

The exam will cover Chapters 18, 19, 20, 21, 23, and 26 in the book.

The exam will consist of at most 10 problems (some might have multiple parts) and there will be at most two problems from each chapter.

The exam problems will be in the same spirit as the homework problems, but slightly more emphasis will be placed on computation. Using the correct method or formula for a computation is worth more than half the credit for a problem.

  • Chapter 18: The Normal Approximation for Probability Histograms Some impor- tant concepts are: - “Probability histograms represent chance by area.” - When to use the normal curve, how to use the normal curve.
  • Chapter 19: Sample Surveys Some important concepts are:
    • Simple random sample – population, statistic, parameter.
    • Chance error and bias.
  • Chapter 20: Chance Errors in Sampling Some important concepts are:
    • Expected value and standard error for a sample percentage.
    • The correction factor when the sample size is large compared to the population size.
  • Chapter 21: The accuracy of Percentages Some important concepts are:
    • Bootstrap method for samples when there is a 0-1 box model.
    • Confidence intervals.
  • Chapter 23: The Accuracy of Averages Some important concepts are:
    • Expected value and standard error for averages.
    • Expected value and standard error for sample averages.
  • Chapter 26: Tests of Significance Some important concepts are:
    • Null hypothesis, alternative hypothesis.
    • The “z test statistic.”
  • Observed significance level, P -value.

Some sample review problems (in addition to ALL the homework problems and the examples from class!!!): p. 428 #22, 26, 27; p. 567 #23(a), 25, 26, 31, 38.