statistics 201: elementary statistical inference

section 502, spring 2006

JANUARY 2006
Mon Tue Wed Thu Fri Sat Sun
      
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
18
19
Lecture 1
What is statistics?
Aquiring data (3.1)
Displaying data (1.1-1.2)
20
21
22
23
24
Lecture 2
Displaying data (1.1-1.2)
25
26
Lecture 3
Density curves & normal distribution (1.3)
HW1 due
27
28
29
30
31
Lecture 4
Samples & populations
Sampling design (3.3)

 

FEBRUARY 2006
Mon Tue Wed Thu Fri Sat Sun
  
01
02
Lecture 5
Designing experiments(3.2)
HW2 due
03
04
05
06
07
Lecture 6
Randomness (4.1)
08
09
Lecture 7
Sampling distributions for counts and proportions (5.1)
HW3 due
10
11
12
13
14
Review for EXAM I
15
16
EXAM I
17
18
19
20
21
Review randomness and sampling distributions for counts and proportions(4.1 & 5.1)
22
23
Lecture 8
Sampling distributions for sample means (5.2)
HW4 due
24
25
26
27
28
Sampling distributions for sample means (5.2)

 

MARCH 2006
Mon Tue Wed Thu Fri Sat Sun
  
01
02
Lecture 9
Confidence (6.1)
HW5 due
03
04
05
06
07
Lecture 10
Confidence (6.1)
08
09
Lecture 11
Introduction to Testing (6.2 & 6.3)
10
11
12
13
Spring break
14
Spring break
15
Spring break
16
Spring break
17
Spring break
18
19
20
21
Review for EXAM II
22
23
EXAM II
24
25
26
27
28
Lecture 12
Review confidence and testing (6.1, 6.2 & 6.3)
29
30
Lecture 13
Testing (6.2 & 6.3)
HW6 due
31

 

APRIL 2006
Mon Tue Wed Thu Fri Sat Sun
     
01
02
03
04
Lecture 14
Testing(6.2 & 6.3) Comparing two means using Z statistic(7.1 - only part using Z statistic)
05
06
Lecture 15
Inference for proportions and comparing two proportions (8.2)
HW7 due
07
08
09
10
11
Lecture 16
Lecture 17
Errors (6.4)
12
13
Lecture 18
Variable interaction, scatterplots and correlation (2.1 & 2.2)
HW8 due
14
15
16
17
18
Lecture 19
Least-squares regression (2.3)
19
20
Lecture 20
Correlation and regression (2.4)
Causation (2.5)
HW9 due
21
22
23
24
25
Review for EXAM III
26
27
EXAM III
28
29
30
31