Rutgers Faculty of Management |
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Course:
22:960:523:76 |
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Text: |
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Statistics for Managers: Using
Microsoft Excel 2nd ed. |
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Outline: |
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| This course relies upon the Excel spreadsheet for computations. Please be sure to have Microsoft Excel 95 or Excel 97 on your computer to be compatible with the textbook. | ||
| It is strongly suggested that you learn the material on pages 30 62, "Supplement: Using Microsoft Excel for Statistical Analysis," before class begins. We will review it at the beginning of the course but it will be helpful if you are already familiar with it. At least two of your courses will rely on Excel. The software is available on CD-ROM; please install it prior to class. Otherwise, you will need to have a CD-ROM drive connected to your computer in the first class in order to complete the installation. The CD-ROM will not be needed subsequently. It will be important that your computer have a floppy drive. | ||
| In at least one class, you will need an Excel add-in called "Solver." If it is not already in your computer, it will be necessary to bring your set up CD to class. We will install the necessary software during the first class. | ||
Please bring your friend, the laptop computer, to every class. |
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| In the text you will notice that several sections are followed by similarly numbered sections with an "E" suffix. For example, there is a section 3.2 and a section 3.2E. The E sections demonstrate Excel calculations. When assigned a specific section, please also study the corresponding "E" section. | ||
Topics |
Read |
Problems |
| Summarizing and
presenting data using Excel Descriptive Statistics, Measures of Central Tendency Measures of Variation, Data Presentation |
Chapter 2 sections 2.1 2.4 Chapter 3 sections 3.1 3.4 |
2.10, 2.11, 2.13, 2.15, 2.29 3.9, 3.11, 3.20, 3.22, 3.29 |
| Basic Probability Simple probability, Joint probability Conditional Probability, Decision Trees, Bayes Theorem |
Chapter 4 sections 4.1 4.3 |
4.8, 4.9, 4.12, 4.19, 4.20, 4.29, 4.30. |
| Discrete Probability Expected Value, Expected Monetary Value, Binomial Distribution, Omega Distribution, Poisson Distribution |
Chapter 4 sections 4.4 4.6 |
4.35, 4.36, 4.44, 4.45, 4.49, 4.50 |
| Normal Distribution Standard Normal Distribution, Probability Tables, Finding Probabilities corresponding to known values |
Chapter 6 sections 6.1 6.2 |
6.8, 6.9, 6.11, 6.17, 6.18 |
| Sampling Distributions Standard Error of the mean, Central Limit Theorem, Sampling Distribution of the proportion, Sampling from finite populations |
Chapter 6, sections 6.4 6.6 |
6.34, 6.35, 6.37, 6.45, 6.46 |
Topics |
Read |
Problems |
| Estimation Confidence Interval Estimation of the Mean, Students t Distribution, Confidence Interval Estimation for the Proportion, Sample Size determination |
Chapter 7 sections 7.1 7.4 |
7.7, 7.8, 7.19, 7.20, 7.34, 7.35, 7.36, 7.71, 7.80 |
| Hypothesis Testing Null & alternative hypotheses, Critical value of the test statistic, Rejection & non-rejection, Type I & II errors, Z Tests, One tail tests, Two tail tests |
Chapter 8 |
8.11, 8.12, 8.15, 8.22, 8.23, 8.34, 8.35, 8.46, 8.47, 8.61, 8.68, 8.69 |
| Hypothesis Testing
(Continued) One Sample t Tests, Two Sample t tests, Pooled variance |
Chapter 9 section 9.1 |
9.5, 9.6, 9.7, 9.11, 9.12 |
| Simple Linear Regression Least Squares Method, Standard Error of the Estimate, Measures of Variation in Regression, Correlation, Coefficient of Determination |
Chapter 13 sections 13.1 13.3, 13.11 |
13.3, 13.4, 13.5, 13.6, 13.7, 13.55, 13.56, 13.57, 13.58 |
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