STATS 193
Statistical
Thinking
Instructor: Sarjinder Singh, Office: 141(ECC)
Lecture Room: M, W, F (12:00--12:50pm)
ECC 111; or ( 3:00--3:50pm ) ECC 120
Office hours: (M, W, F 1:00pm-3:00pm, T,
H 12:00-2:00pm, or by appointment )
E-mails: [email protected]
or [email protected], Phone: (320) –308 5324
Stats 193 introduces the basic statistical concepts and methods and to show how they enhance critical thinking and reasoning. This course gives the concepts of collection, description, and making of generalizations from data and its importance in our daily lives.
Book: Interactive Statistics,
Martha Aliaga and Brenda Gunderson, 2nd Ed. Prentice Hall.
|
Lect. No. |
Day |
Date |
Schedule and Contents Spring 2004 |
Sections from Book
|
January
|
||||
|
1 |
M |
12 |
Definition of statistics, population, |
2.2, 2.3 |
|
2 |
W |
14 |
census, sample, parameter, statistic, Idea of
hypotheses |
1.3, 1.4 |
|
3 |
F |
16 |
Idea of sampling, random sampling, simple random
sampling: Lottery method and Random number method. |
2.4,2.5,2.6, |
|
|
M |
19 |
Martin Luther King Jr. Day, no
class
|
|
|
4 |
W |
21 |
Stratified random sampling, systematic
sampling,
|
2.7, 2.8, |
|
5 |
F |
23 |
cluster sampling, multistage sampling, bias.
|
2.9 |
|
6 |
M |
26 |
Unit, Experiment, Variables: qualitative, quantitative,
discrete, continuous, response, explanatory, confounding. |
3.3,3.4, 3.5 |
|
7 |
W |
28 |
Principles for planning an experiment. |
4.2 |
|
8 |
F |
30 |
Graphs for qualitative data: Pie chart, Bar chart |
4.3: 4.3.1, 4.3.2 |
|
|
|
|
February
|
|
|
9 |
M |
02 |
Graphs for quantitative data: Pie chart, Bar
chart, Dot plot or frequency plot, stem and leaf plot. |
4.4: 4.4.1, 4.4.3 |
|
10 |
W |
04 |
Histogram |
4.4.4 |
|
11 |
F
|
06 |
Shapes of right, left and symmetric distributions,
time plot, Idea of bivariate data and scatter diagram. |
4.4.2,4.4.5, 4.4.6 |
|
12 |
M
|
09 |
Exam – I
|
|
|
13 |
W |
11 |
Sigma, Mean, Median, Mode, Expected positions of
mean, mode and median on the left, right and symmetric distributions |
5.2.1,5.2.2, 5.2.3, |
|
14 |
F |
13 |
Range, Quartiles, Interquartile range, Box plot, Percentile |
5.3.1,5.3.2, 5.3.3 |
|
15 |
M |
16 |
Variance:
Two formulae, standard deviation, Empirical rule |
5.3.4 |
|
16 |
W |
18 |
Modeling continuous variable, Normal distribution,
Area under normal distribution, |
6.3, 6.3.1 |
|
17 |
F |
20 |
Exercises related to area under normal curve |
|
|
18 |
M |
23 |
z-score, IQ score, density function, outliers, |
6.3.1 |
|
19 |
W |
25 |
Uniform distributions |
6.3.2 |
|
20 |
F |
27 |
Modeling discrete variable, mass function |
6.4 |
|
March |
||||
|
21 |
M
|
01 |
Exam –II
|
|
|
22 |
W |
03 |
Probability: Experiment, event, mutually exclusive
events, simple events, sample space, Venn diagram, tree diagram and
probability table |
7.2, 7.3 |
|
23 |
F |
05 |
Definition of probability, simulation, rules to
find probability of an event. |
7.4: 7.4.1 |
|
24 |
M |
08 |
Exercises related to probability |
|
|
25 |
W |
10 |
Compound events, intersection and union of events,
complement of an event, null event, sure event, |
7.4.2 |
|
26 |
F
|
12 |
Additive and multiplicative laws of probability |
7.4.2 |
|
|
M
|
15 |
SPRING BREAK
|
|
|
|
W
|
17 |
|
|
|
|
F
|
19 |
|
|
|
27 |
M |
22 |
Marginal and conditional probabilities. Independent and dependent events |
7.4.2 |
|
28 |
W |
24 |
Discrete Random variables, mean and standard
deviation of a discrete random variable, rules of combinations, 0! Etc |
7.5.1 |
|
29 |
F |
26 |
Binomial random variable, its mean and variance |
7.5.2 |
|
30 |
M
|
29 |
Exercises
related to binomial and discrete variable |
|
|
31 |
W |
31 |
Continuous random variable, use of Table II |
7.5.2 |
|
April |
||||
|
32 |
F |
02 |
Proportion, sampling distribution of proportion, |
8.2 |
|
33 |
M |
05 |
Bias
and variability, sampling distribution of estimator of proportion.
Center limit theorem, point estimator |
8.3, 8.4,9.4 |
|
|
W |
07 |
Forum Day, no class
|
|
|
34 |
F |
09 |
Standard error of sample mean, sample proportion,
interval estimator. |
9.6 |
|
35 |
M |
12 |
Relationship between two qualitative variables, Idea of correlation |
4.3.3, 13.7 |
|
36 |
W |
14 |
Idea of regression analysis, outliers |
13.3 |
|
37 |
F |
16 |
Exercises related to correlation and regression analysis |
|
|
38 |
M
|
19 |
Exam – III
|
|
|
39 |
W |
21 |
Meaning of hypothesis: Null hypothesis,
alternative hypothesis |
1.3, 1.4 |
|
40 |
F
|
23 |
One and two tail tests, Type-I and II errors, level
of significance, p-value |
9.1 |
|
41 |
M
|
26 |
Test for single proportion (Large sample, >30)
and related exercise. |
9.1 |
|
42 |
W
|
28 |
Test for single mean (Large sample, >30) and
related exercise. |
11.4 |
|
43 |
F
|
30 |
Last day (Discussion and questions) |
|
Note: It is a tentative schedule
and the material from one lecture to another may be shifted if required, some
topics may be added or dropped.
|
Evaluations |
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Assignments |
5 times 4% each |
20% |
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Term exams. |
3 times 10% each |
30% |
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Final Exam |
1 times 50% |
50% |
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Final Grade |
|
100% |
|
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|
Extra credit (0.5% each practical) |
Writing
practical in own handwriting |
Note: These marks will be
added to your final score. |
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Grades |
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|
90-100% |
85-89% |
80-84% |
75-79% |
70-74% |
65-69% |
60-64% |
55-59% |
50-54% |
45-49% |
0-45% |
|||
|
A |
A- |
B+ |
B |
B- |
C+ |
C |
C- |
D+ |
D |
F |
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Remarks: ( 1 ) All examinations will be ‘closed book’. Calculators are allowed, but no formulae sheets.
( 2 ) 20% marks will be deducted from late assignments.
( 3 ) Date and time for the final exam will be announced in the class. Experience shows that the date(s) for the midterm exams generally changes, so be regular with the class activities/announcements.
( 4 ) Assignments will be given in the class. A few students feel that assignments dead lines should be a bit flexible, and other feel not. Both kind of experience will be tried.
( 5 ) Any other change in the schedule will be announced in the class.
( 6 ) Please make sure that you are registered with one of these sections, as otherwise your final grade may not be submitted.