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2405_Schedule-Summer2010

# 2405_Schedule-Summer2010 - Tentative Course Schedule Week 1...

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Unformatted text preview: Tentative Course Schedule Week 1 2 3 4 5 6 Class 1 2 3 Date 24 May 25 May 26 May 4 27 May 5 28 May No Class 31 May 6 1 June 7 2 June 8 3 June 9 4 June 10 7 June 11 8 June 12 9 June 13 10 June No Class 11 June 14 14 June 15 15 June 16 16 June 17 17 June 18 18 June 19 21 June 20 22 June 21 23 June 22 24 June No Class 25 June 23 28 June 24 29 June 25 30 June 26 27 1 July 3 July Topic Course Overview and Introduction Classifying and Presenting Data Measures of Location, Variability, Distribution Shape, Relative Location, and Outliers Descriptive Statistics using Excel Basic Probability Concepts and Counting Rules Memorial Day Probability Rules Overview of Probability Theory Discrete Probability Distributions Binomial Probability Distribution Exam 1 Review EXAM 1 (Tentative) Normal Probability Distribution Evaluating Probability Statements using Excel Statistical Inference & Sampling Distribution Basics Sampling Distribution of the Mean Sampling Distribution of Proportions Confidence Intervals on the Population Mean Confidence Intervals on the Population Proportion Exam 2 Review EXAM 2 (Tentative) Hypothesis Testing Hypothesis Testing on the Population Mean Hypothesis Testing on the Population Proportion Hypothesis Testing on the Population Variance Inferences about Two Population Means: independent samples & matched samples Wrap up and Final Exam Review FINAL EXAM 8am – 10am Pamplin Hall Room 31 Page 1 of 3 Chapter 1 1, 2 3 2, 3 4 4 4 5 5 6 6 7 7 7 8 8 9 9 9 9 10 HAWKES LEARNING SYSTEM: STATISTICS CERTIFICATE DUE DATES Number 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 Certificate 1.2 Level of Measurement 2.2a Graphical Displays of Data: Pie and Bar Charts 2.2b Histograms, Polygons, Stem and Leaf Plots 3.1 Measures of Center 3.2a Measures of Dispersion 3.2b Applying the standard deviation 3.4 Measures of Relative Position 4.1 Classical Probability 4.2 Probability Rules 4.3 Counting Rules 4.4 Additional Counting Techniques (complete 4.1-4.3 first) 5.1 Discrete Random Variables 5.2 The Binomial Distribution 6.2 Reading a Normal Curve Table 6.3 The Normal Distribution 6.4 Find the Value of z 7.3 Sampling Distributions: Means 7.2 Sampling Distributions: Proportions 8.2 Introduction to Estimating Population Means 8.3 Estimating Means: Sigma Known 6.5 Find the Value of t 8.4 Estimating Means: Sigma Unknown 8.1 Estimating Proportions 9.1 Fundamentals of Hypothesis Testing 9.5 Hypothesis Testing Means: z Value 9.4 Hypothesis Testing Means: P Value 9.6 Hypothesis Testing Means: t Value 9.3 Hypothesis Testing Proportions: z Value 9.2 Hypothesis Testing Proportions: P Value 9.9 Hypothesis Testing about a Population Variance 10.2 Hypothesis Testing - Two Means (Sigma Known) 10.3 Hypothesis Testing - Two Means (Sigma Unknown) 10.4 Hypothesis Testing - Two Means (Dependent Samples) Page 2 of 3 Due Date By 11:55PM on Thursday, May 27 By 11:55PM on Thursday, May 27 By 11:55PM on Thursday, May 27 By 11:55PM on Sunday, May 30 By 11:55PM on Sunday, May 30 By 11:55PM on Tuesday, June 1 By 11:55PM on Tuesday, June 1 By 11:55PM on Wednesday, June 2 By 11:55PM on Wednesday, June 2 By 11:55PM on Thursday, June 3 By 11:55PM on Thursday, June 3 By 11:55PM on Monday, June 7 By 11:55PM on Thursday, June 10 By 11:55PM on Monday, June 14 By 11:55PM on Monday, June 14 By 11:55PM on Wednesday, June 16 By 11:55PM on Wednesday, June 16 By 11:55PM on Thursday, June 17 By 11:55PM on Thursday, June 17 By 11:55PM on Thursday, June 17 By 11:55PM on Sunday, June 20 By 11:55PM on Sunday, June 20 By 11:55PM on Sunday, June 20 By 11:55PM on Thursday, June 24 By 11:55PM on Sunday, June 27 By 11:55PM on Sunday, June 27 By 11:55PM on Sunday, June 27 By 11:55PM on Monday, June 28 By 11:55PM on Monday, June 28 By 11:55PM on Tuesday, June 29 By 11:55PM on Thursday, July 1 By 11:55PM on Thursday, July 1 By 11:55PM on Thursday, July 1 BIT 2405 Summer I 2010 ‐ Tentative Daily Calendar SUNDAY 23 MONDAY 24 Class 1 TUESDAY 25 Class 2 WEDNESDAY 26 Class 3 THURSDAY 27 Class 4 HLS 1 (1.2) HLS 2 (2.2a) HLS 3 (2.2b) 3 Class 8 HLS 10 (4.3) HLS 11 (4.4) FRIDAY 28 Class 5 SATURDAY 29 30 HLS 4 (3.1) HLS 5 (3.2a) 31 No Class Memorial Day 1 Class 6 HLS 6 (3.2b) HLS 7 (3.4) 2 Class 7 HLS 8 (4.1) HLS 9 (4.2) 4 Class 9 5 6 7 Class 10 HLS 12 (5.1) 8 Class 11 EXAM 1 9 Class 12 10 Class 13 HLS 13 (5.2) 11 No Class 12 13 14 Class 14 HLS 14 (6.2) HLS 15 (6.3) 15 Class 15 16 Class 16 HLS 16 (6.4) HLS 17 (7.3) 18 Class 18 19 21 Class 19 22 Class 20 EXAM 2 23 Class 21 17 Class 17 HLS 18 (7.2) HLS 19 (8.2) HLS 20 (8.3) 24 Class 22 HLS 24 (9.1) 20 HLS 21 (6.5) HLS 22 (8.4) HLS 23 (8.1) 27 HLS 25 (9.4) HLS 26 (9.5) HLS 27 (9.6) 25 No Class 26 28 Class 23 HLS 28 (9.2) HLS 29 (9.3) 29 Class 24 HLS 30 (9.9) 30 Class 25 1 Class 26 HLS 31 (10.2) HLS 32 (10.3) HLS 33 (10.4) 2 3 Class 27 FINAL EXAM 8am‐10am Page 3 of 3 ...
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