Statitics Time Series
Business
Statistics I:
QM 1
Lecture N otes by Stefan W aner
(5th printing: 2003)
Department of Mathematics, Hofstra University
BUSINESS STATISTCS I: QM 001
(5th printing: 2003)
LECTURE NOTES BY STEFAN WANER
TABLE OF CONTENTS
0. Introduction................................................................................................... 2
1. Describing Data Graphically ...................................................................... 3
2. Measures of Central Tendency and Variability........................................ 8
3. Chebyshev's Rule & The Empirical Rule................................................ 13
4. Introduction to Probability ....................................................................... 15
5. Unions, Intersections, and Complements ................................................ 23
6. Conditional Probability & Independent Events..................................... 28
7. Discrete Random Variables....................................................................... 33
8. Binomial Random Variable ...................................................................... 37
9. The Poisson and Hypergeometric Random Variables............................ 44
10. Continuous Random Variables: Uniform and Normal....................... 46
11. Sampling Distributions and Central Limit Theorem.......................... 55
12. Confidence Interval for a Population Mean .......................................... 61
13. Introduction to Hypothesis Testing ........................................................ 66
14. Observed Significance & Small Samples............................................... 72
15. Confidence Intervals and Hypothesis Testing for the Proportion ...... 75
1
Note: Throughout these notes, all references to the “book” refer to the class text:
“Statistics for Business and Economics” 8th Ed. by Anderson, Sweeney, Williams (South-Western/Thomson Learning, 2002)
Topic 0 Introduction
Statistics I:
QM 1
Lecture N otes by Stefan W aner
(5th printing: 2003)
Department of Mathematics, Hofstra University
BUSINESS STATISTCS I: QM 001
(5th printing: 2003)
LECTURE NOTES BY STEFAN WANER
TABLE OF CONTENTS
0. Introduction................................................................................................... 2
1. Describing Data Graphically ...................................................................... 3
2. Measures of Central Tendency and Variability........................................ 8
3. Chebyshev's Rule & The Empirical Rule................................................ 13
4. Introduction to Probability ....................................................................... 15
5. Unions, Intersections, and Complements ................................................ 23
6. Conditional Probability & Independent Events..................................... 28
7. Discrete Random Variables....................................................................... 33
8. Binomial Random Variable ...................................................................... 37
9. The Poisson and Hypergeometric Random Variables............................ 44
10. Continuous Random Variables: Uniform and Normal....................... 46
11. Sampling Distributions and Central Limit Theorem.......................... 55
12. Confidence Interval for a Population Mean .......................................... 61
13. Introduction to Hypothesis Testing ........................................................ 66
14. Observed Significance & Small Samples............................................... 72
15. Confidence Intervals and Hypothesis Testing for the Proportion ...... 75
1
Note: Throughout these notes, all references to the “book” refer to the class text:
“Statistics for Business and Economics” 8th Ed. by Anderson, Sweeney, Williams (South-Western/Thomson Learning, 2002)
Topic 0 Introduction