Session | Date | Statistics with Probability | WeBWorK | Text #1 | Homework | Text #2 |
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1 | Introduction to Excel | P. 1 - 5, 9 - 11 and 13 - 23 | ||||

2 | Graphical Descriptive Techniques | 2.1 - 2.4 | P. 25: 1, 2, 3; P. 39: 1, 3; P. 47: 1, 3 | SORT, FREQUENCY P. 28 - 29 |
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3 | Measures of Central Location and Variability | 3.2 - 3.5 | P. 79: 1, 9; P. 86: 1, 2, 11; P. 98: 1, 5; P. 105: 1, 2, 6 | AVERAGE( : ), VARP( : ), STDEVP( : ) P. 36 - 45 |
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4 | Covariance and Coefficient of Correlation | 2.5, 3.7 | P. 54: 1, 5; P.128: 1, 3 | COV(X,Y), CORREL(X,Y) P. 189 - 193 |
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5 | Least Squares Method and Regression | 12.1 - 12.3 | P. 542: 1, 5; P. 548: 1, 2, 3 | SLOPE, INTERCEPT P. 205 - 210 |
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6 | Assigning Probabilities to Events; Probability Rules | 4.1 - 4.3 | P. 150: 1, 3, 4, 7, 10, 11, 12; P. 156: 1, 2, 7, 9, 10 | |||

7 | Experiments Having Equally Likely Outcomes | 4.4 | P. 164: 1, 2, 3, 6, 9, 10, 12, 14 | |||

8 | Conditional Probability and Independence | 4.5 | P. 177: 1, 2, 3, 4, 7, 11, 15, 18, 28, 29, 33, 35, 38 | |||

9 | Relative Frequency Distribution and z-scores | FREQUENCY( bin:data ) P. 45 - 48, P. 59 - 76 |
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10 | First Examination | |||||

11 | Random Variables, Probability Distributions | 5.2 | P. 215: 1, 3, 4, 9, 10, 15, 17, 18 | |||

12 | Expected Value and Variance | 5.3 5.4 | P. 225: 1, 3, 4, 5, 9, 11, 19, 23, 27, 30 P. 236: 2, 3, 5, 10, 11, 17, 18, 19 | |||

13 | Binomial Distribution | 5.5 | P. 244: 2, 3, 5, 10, 11, 21, 23 | BINOMDIST(s,n,p,false) P. 104 - 108 |
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14 | Poisson Distribution | 5.7 | P. 253: 1, 3, 5 | POISSON(x,mean,false) P. 111 - 115 |
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15 | Continuous Random Variables | 6.2 | P. 264: 1, 2, 3, 6, 7 | |||

16 | Normal Random Variables | 6.3, 6.4 | P. 269: 1, 2, 3, 5, 7, 19; P. 276: 3, 4, 5 | NORMSDIST(z), NORMSINV(p) P. 115 - 122 |
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17 | Finding Normal Probabilities | 6.5, 6.7 | P. 281: 1, 3, 5, 9, 13; P. 289: 1, 3, 9, 13 | |||

18 | Sample Mean | 7.3 | P. 303: 1, 3, 5 | |||

19 | Distribution of the Sample Mean | 7.4.1 | P. 311: 1, 3, 5, 7, 11, 13 | |||

20 | Distribution of the Sample Variance of a Normal Population | 7.6 | P. 325: 1 | |||

21 | Midterm Examination | |||||

22 | Estimating Population Means | 8.2 | P. 334: 1, 3, 5, 7, 9 | |||

23 | Hypothesis Testing with Known Standard Deviation | 9.2 - 9.3.1 | P. 392: 1, 3 P. 400: 1, 3, 5, 7, 9, 11 P. 408: 1, 3, 5 | P. 131 - 153 | ||

24 | Inference about a Population Mean with Unknown Standard Deviation | 9.4 | P. 417: 1, 3, 5, 13, 17 | TDIST(x,df,tails), TINV(p,df), P. 140 - 153 |
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25 | Class Project Presentation | |||||

26 | Class Project Presentation | |||||

27 | Chi-Squared Goodness of Fit Test | 13.2 | P. 615: 1, 3, 7, 11 | CHIDIST(x,df), CHIINV(p,df) P. 249 - 255 |
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28 | Chi-Squared Test for Independence - Contingency Table | 13.3 | P. 626: 1, 3, 5, 9, 11 | |||

29 | Review | |||||

30 | Final Examination |

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