Statistics 50
                                 Lecture 17

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Final Word on the Bonus material, Chapter 7.2

* Example -- Two Sample Test of Significance

For a test of significance, you are simply looking at the difference in the
population proportions. The null is that there is really no difference and
the alternative suggests that there is a difference.

Standardize, using a z statistic for a difference in two proportions. The
standard error is somewhat different here, you need to pool the samples to
get the single estimate for the population parameter p. The pooled sample
proportion is:

   p-hat = count of successes in both samples combined
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           count of observations in both samples combined

The z-statistic then will be the difference in the two sample proportions
divided by a standard error constructed from this estimate of the pooled
sample proportion.

The Final

  1. Tuesday, December 10 from 11:30-2:30pm
  2. Kinsey 51 (the lecture hall)

Please bring these to the examination room

  1. 5"x8" crib sheet
  2. Calculator with square root key at minimum
  3. Writing instruments
  4. Photo ID
  5. Grade Card (optional)

I will provide these things:

  1. Exam (you do not need a blue book/scantron/etc)
  2. Tables A and C
  3. Scratch paper

Test taking hints:

  1. Problems vary in difficulty. If you can't do the first one, come back
     to it later
  2. Get some rest
  3. Read the questions carefully
  4. Check your answers over
  5. For some of you: draw pictures!
  6. For others: practice doing problems
  7. Still others: look at the formulas

Material Covered and Required for the Final

  1. Chapter 1, sections 1.1, 1.2, 1.3 (omit *'d sections)
  2. Chapter 2, sections 2.1, 2.2, 2.3
  3. Chapter 3, sections 3.1, 3.2
  4. Chapter 4, sections 4.1, 4.3, 4.5
  5. Chapter 5, sections 5.1, 5.2, 5.3
  6. Chapter 6, sections 6.1, 6.2

Bonus Material on the Final

  1. Chapter 7, sections 7.1, 7.2 (worth 6 points)
  2. Bonus points only allowed for people who scored less than 25 points on
     the midterm. But feel free to answer them if you choose. I will look at
     all answers.

Chapter 3

Populations & Samples

Observational Studies and Experiments

Controls and Treatments

Chapter 1

Introduction to distributions.

Graphical Summaries

Numerical Summaries: center & spread

Normal Distribution

Chapter 2

Looking at relationships between two variables

Correlation

Regression

Interpretation
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Last Update: 2 December 1996 by VXL