STAT 2020 Homework 1
DUE January 26, 2015 at the start of class
NAME:
SECTION:
Computing ID:
NOTE: you may hand draw the plots or print them from
Excel
Section /
Problem Answer
1-2
2 statistic
4 parameter
6 continuous
8 continuous
18 (a) the 750 responses
STAT 2020 Homework 11
DUE April 27, 2015 before class
Section /
Problem
Answer
10.2
H0: p1=0.16 (<25) p2=0.44 (25-44), p3=0.27 (45-64), p4=0.13 (>64)
12
H1: At least one of the above proportions is different from the claimed value
test statistic: 53.051
P
STAT 2020 Homework 4
DUE February 16, 2015 at the start of class
Section /
Problem
4-4
Answer
6 (a) = 2
= 1.265
(b) Yes, this would be unusual because 7 correct answers is greater
than two standard deviations from the mean
8 (a) = 2.5
= 1.5
(b) No, this
STAT 2020 Homework 5
DUE March 2, 2015 in beginning of class
NAME:
SECTION:
Computing ID:
Section /
Problem Answer
6.3
2 1.96
4 -2.81
10 E = 1.676
Confidence Interval: (78.82, 82.18)
14 n = 166
16 n = 1381
The confidence level gives us the success rate of
STAT 2020 Homework 2
DUE February 2, 2015 at start of class
NAME:
SECTION:
Computing ID:
Section /
Problem Answer
2.6
4 (a) 2.90
(b) -2.00
(c) 0
6 z-score = 2.67
This length is unusual because the z score is an unusual value ( it is
greater than 2 standar
STAT 2020 Homework 8 - DUE March 30, 2015 at the start of class
Section /
Problem
6.2
Answer
18 p_hat = 0.167
E = 0.0277
confidence interval: (0.139, 0.195)
20 p_hat = 0.888
E = 0.0116
confidence interval: (0.876, 0.899)
22 n = 666
24 n = 222
32 confidenc
STAT 2020 Homework 3
DUE February 9, 2015 at the start of class
NAME:
SECTION:
Computing ID:
Section /
Problem
Answer
Answer
Section /
Problem
3-5
When 50 electrocardiographs are shipped, at least one of them has
defects
2
When five different blood types
Topic 01 02
Intro and Describing Data
1-12-15
Population mean example of a parameter
Ex: Population mean of women in the US
Statistic example: population mean of a sample of women
1-14-15
parameter value for the whole population. Ex: population mean (need
Topic 03
Probability
Probability describes the outcome of random process
- procedures that produce outcome
Fundamentals
Event any collection of results for an outcome
simple event outcome that cannot be further broken down
sample space (all possible simp