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Review Sheet on Miscellaneous, Descriptive Stats, Probability | BIT 2405, Study notes of Introduction to Business Management

Final Exam Review Material Type: Notes; Professor: Pokorski; Class: Quantitative Methods; Subject: Business Information Technology; University: Virginia Polytechnic Institute And State University; Term: Fall 2007;

Typology: Study notes

Pre 2010

Uploaded on 09/07/2008

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Download Review Sheet on Miscellaneous, Descriptive Stats, Probability | BIT 2405 and more Study notes Introduction to Business Management in PDF only on Docsity! BIT 2405 Final Exam Tuesday, Dec. 12 1:05 - 3:05p Chem/Physics 140 Miscellaneous • Bring – Calculator – Pencil • Format: Multiple Choice • I will provide – Formula sheet (Posted by Wed) – Table Set from Exam 3 • Std. Normal • t-Table • Chi-square Table Chapter 3 Descriptive Stats - Numerical • Basics – Population parameters – Point estimate – Sample statistic • Central Tendency – Mean, Median, Mode – Outliers, resistance • Measures of Dispersion – Range, Variance & std. dev. – Coef. of variation • Chebyshev’s Theorem • Empirical Rule Chapter 4 Probability • Set theory – Sample space – Empty set • Counting techniques – Combinations and Permutations • Probability rules – Additive/Union – Complement – Intersection – Multiplicative • Conditional Probability – Independence – Mutually exclusive Chapter 5 Discrete Random Variables • Probability distribution • Mean/Expected value • Variance • Binomial Distribution – Binomial Experiment – Binomial Formula – Mean and variance Chapter 8 Confidence Intervals • Point estimates • Interval estimates • CI for – Variance Known – Variance Unknown • CI for p • Determining sample size Chapter 9 Hypothesis Testing • Type I and Type II Errors • Tests for µ (variance known and unknown) • Tests for p • When performing the tests, know how to do the following: – Develop hypothesis – Critical Value – Test Statistic – P-Value – Decision/ Conclusion Chapter 10 2-Sample Testing • Tests for differences in means (µ1-µ2) – Independent samples (difference between means) • Variance known and unknown – Paired difference experiments (mean difference) – Confidence intervals
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