IV. Inference.
A. Confidence Intervals for Population Mean. (Ch. 8) B. Hypothesis Tests for Population Mean (Ch. 9) C. Hypothesis Test for Two Population Means (Ch. 10) D. Inference for Pop. Proportions (Ch. 11) 1. The Sampling Distribution for p 2. Confi
IV. Inference.
A. Confidence Intervals for Population Mean. (Ch. 8) B. Hypothesis Tests for Population Mean (Ch. 9) C. Hypothesis Test for Two Population Means (Ch. 10) D. Inference for Pop. Proportions (Ch. 11) 1. The Sampling Distribution for p 2. Confi
IV. Inference.
A. Confidence Intervals for Population Mean. (Chapter 8) 8) B. Hypothesis Tests of Population Mean (Chapter 9) 1. Basics of Hypothesis Testing 2. Errors, Terms and Conclusions 3. Hypothesis tests: Z-test or t-test (is X known?) Zt4. Prob Va
IV. Inference.
A. Confidence Intervals for Population Mean. (Chapter 8) 8) B. Hypothesis Tests of Population Mean (Chapter 9) 1. Basics of Hypothesis Testing 2. Errors, Terms and Conclusions 3. Hypothesis tests: Z-test or t-test (is X known?) Zt4. Prob Va
IV. Inference.
A. Confidence Intervals for Population Mean. (Chapter 8) 8) B. Hypothesis Tests of Population Mean (Chapter 9) 9) 1. Basics of Hypothesis Testing 2. Errors, Terms and Conclusions 3. Hypothesis tests: Z-test or t-test (is X known?) Zt4. Prob
IV. Inference.
A. Confidence Intervals for Population Mean. (Chapter 8) 8) B. Hypothesis Tests of Population Mean (Chapter 9)
B. Hypothesis Tests of Population Mean 1. Basics of Hypothesis Testing
Null Hypothesis: Statement about true population mean valu
IV. Inference.
A. Confidence Intervals for Population Mean. (Chapter 8) 1. Point and Interval Estimation. 2. Confidence Intervals known. 3. Margin of Error and Sample Size. 4. Confidence Intervals unknown. Combine point estimation and the point sampling s
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IV. Inference.
A. Confidence Intervals for Population Mean. (Chapter 8) 1. Point and Interval Estimation. 2. Confidence Intervals known. 3. Margin of Error and Sample Size. 4. Confidence Intervals unknown. Combine point estimation and the point sampling s
IV. Inference.
A. Confidence Intervals for Population Mean. (Chapter 8) 1. Point and Interval Estimation. 2. Confidence Intervals known. 3. Margin of Error and Sample Size. 4. Confidence Intervals unknown. Combine point estimation and the point sampling s
IV. Inference.
A. Confidence Intervals for Population Mean. (Chapter 8) 1. Point and Interval Estimation. 2. Confidence Intervals known. 3. Margin of Error and Sample Size. 4. Confidence Intervals unknown. Combine point estimation and the point sampling s
Application: Determining crop losses.
Estimated parameters for cranberry yield distributions:
MA Cranberry Yield Means and Standard Deviations: 2002
2007 (barrels per acre).
Year
2002
2003
2004
2005
2006
2007
Mean
199
311
247
169
274
220
St. Dev.
189
74
8
III. Probability, Random Variables and Sampling Distribution.
A. Probability (Chapter 5) B. Discrete Random Variables (Chapter 5) C. Continuous Random Variables (Chapter 6) 1. Introduction 2. Normally Distributed R.V.s 3. Standard Normal Distribution (Z)
III. Probability, Random Variables and Sampling Distributions. A. Probabilty (Chapter 5) B. Random Variables (Chapter 5) C. Normal Distribution (Chapter 6) 1. Continuous Random Variables (CRVs)
2. Normally Distributed CRVs 3. Standard Normal Distribution
I. Introduction II. Descriptive Statistics III. Probability, Random Variables and Sampling Distributions. A. Probabilty (Chapter 5) B. Random Variables (Chapter 5) C. Normal Distribution (Chapter 6) D. Sampling Distribution (Chapter 7) Exam 2: Thursday, N
I. Introduction II. Descriptive Statistics
III. Probability, Random Variables and Sampling Distributions. A. Probabilty (Chapter 5) B. Random Variables (Chapter 5) C. Normal Distribution (Chapter 6) D. Sampling Distribution (Chapter 7)
3. Binomial Distrib
I. Introduction II. Descriptive Statistics
III. Probability, Random Variables and Sampling Distributions. A. Probabilty (Chapter 5) B. Random Variables (Chapter 5) C. Normal Distribution (Chapter 6) D. Sampling Distribution (Chapter 7)
3. Binomial Distrib
I. Introduction II. Descriptive Statistics
III. Probability, Random Variables and Sampling Distributions. A. Probabilty (Chapter 5) 1. Basic Concepts. 2. Rules of Probability. B. Random Variables (Chapter 5) C. Normal Distribution (Chapter 6) D. Sampling
I. Introduction II. Descriptive Statistics
III. Probability, Random Variables and Sampling Distributions. A. Probabilty (Chapter 5) 1. Basic Concepts. 2. Rules of Probability. B. Random Variables (Chapter 5) C. Normal Distribution (Chapter 6) D. Sampling
II. Descriptive Statistics
A. Organizing Data (Chapter 2)
Organizing
1.
Variables and Data
a. Variable:
b. Data:
c. Types of Variables and Data
d. Data Measurement Levels
2. Organizing Data
a. Arrays
b. Grouped Data Tables
3. Graphs and Charts
Grouped Dat
I. Introduction (Chapter 1)
A. Statistics what does the word mean?
B. Two Kinds of Statistics
C. Data Collection
1.
2.
3.
4.
Census
Non-random sampling
sampling
Statistical Sampling
Experiments
II. Descriptive Statistics
A. Organizing Data (Chapter 2)
Org
Introductory Statistics for the Life Sciences
Website: http:/courses.umass.edu/rese211c/
Email:
AskStatsTA@resecon.umass.edu -
Basic Stats help,
questions about solving problems use of Minitab etc
questions about solving problems, use of Minitab, etc.
Justice Age (Age - Mean) (Age - Mean)^2 Roberts 54 -13.89 192.90 Stevens 89 21.11 445.68 T worksheets. You Alito ext boxes are cool ways to annotate your-8.89 59 79.01 can grab them with the mouse and drag them anywhwere on Scalia sheet. 73 5.11 26.12 the
Lets do an experiment with the OLD IDEAL bag.
1 Orange Orange 2 Brown 2 Yellow
1 Green
2 Red
2 Blue
You draw three M&Ms from the Old Ideal bag
Define: B = you eat a Blue M&M. B = the complement of B. Draw one M&M at random eat it. Draw a second M&M at ran
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