Schedule

Session	Date	Statistics with Probability	WeBWorK	Text #1	Homework	Text #2
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
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
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
5		Least Squares Method and Regression		12.1 - 12.3	P. 542: 1, 5; P. 548: 1, 2, 3	SLOPE, INTERCEPT P. 205 - 210
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
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
14		Poisson Distribution		5.7	P. 253: 1, 3, 5	POISSON(x,mean,false) P. 111 - 115
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
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
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
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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