In Discussion Forum 2, post your response to the following discussion topic. Reply to at least two
classmates' responses by the date indicated in the course Calendar.
We often hear you can lie with st
In Discussion Forum 6, post your response to the following discussion topic. Reply to at least two
classmates' responses by the date indicated in the course Calendar.
Association: We know association
In Discussion Forum 5, post your response to the following discussion topic. Reply to at least two
classmates' responses by the date indicated in the course Calendar.
Errors in testing: Think of one e
In Discussion Forum 3, post your response to the following discussion topic. Reply to at least two
classmates' responses by the date indicated in the course Calendar.
Using probability: How can you us
In Discussion Forum 4, post your response to the following discussion topic. Reply to at least two
classmates' responses by the date indicated in the course Calendar.
Outliers: We know many types of d
Thomas Edison State College
STA-201-OL012
Writing Assignment 5
Case Study: The Bank Robberies: A Statistical Analysis (p. 366): Answer questions a, b,
c, d, e, f.
A: Point Estimate for the mean for:
1
Thomas Edison State College
STA-201-OL012
Writing Assignment 4
Case Study: Chest Sizes of Scottish Militiamen (p.306): Answer a, b, c, d.
A: Relative-frequency histogram:
Militiamen Chest Sizes
0.189
Thomas Edison State College
STA-201-OL012
Writing Assignment 6
Focusing on Data Analysis: Using the data from Chapter 1: UWEC Undergraduates (p.
34), and answer questions a, b, c, d, e, f, g (UWEC Und
Thomas Edison State College
STA-201-OL012
Writing Assignment 3
The written assignment draws on section exercises in Chapter 4. When preparing your
assignment, please identify each answer clearly by qu
Outliers: We know many types of data fall into a normal distribution with most of the
observations falling toward the middle. However, sometimes data are outliers or data that are
very differentlarger
We often hear you can lie with statistics. This is one way of saying statistics can
be easily miscommunicated. Find one example of how statistics are
miscommunicated and explain why there was a misco
Marcus Tull
STA-201
MAY 2017
Case Study
a) Film artist, critics, and historians
b) The sample size was 1500
c) No, this sample is more a representation of the population directly involved in the film
Marcus Tull
STA-201
May 2017
Written Assignment 4
Case Study: Worlds Richest People
From The data provided I have reached the following conclusions:
The shape of the graph is bell shaped and symmetric
Marcus Tull
STA-201
MAY 2017
My name is Marcus Tull. I am a navy veteran and I currently work as a Quality Analyst for NASA. Statistics
is something that I use in my current job in determining which a
Marcus Tull
STA-201
MAY 2017
Question: Think of a real world example of an outlier an discuss its effect
Answer: My real world example would be how major sports teams look for new prospects. I think t
Marcus Tull
STA-201
MAY 2017
Question: Using probability: How can you use probability to improve your chances of winning at a casino?
Provide specific examples using concepts learned in this module.
A
Marcus Tull
STA-201
MAY 2017
Question: Think of one example of a Type I and Type II error in everyday life and comment on the
ramifications of those errors.
Answer: The example that comes to mind for
Marcus Tull
STA-201
MAY 2017
Question: We know association does not imply causation, but what does that mean in your own words.
Provide and discuss an example of two variables that are associated but
Andrew Ludescher
STA 201
Written Assignment 4
United States
Hong Kong
France
Mexico
Spain
Sweden
Germany
India
Italy
Canada
IIIII IIIII IIII
II
II
I
I
I
I
I
I
I
STEM
LEAF
3
4
5
6
7
8
9
Age
30-39
40-49
Andrew Ludescher
STA-201
WA 3
Statistics can be very easily miscommunicated because of simple translation error. While finding
one possible way statistics can be miscommunicated I came across the fact
STA-201-OL012
Written Assignment # 6
(a)
Sxx
x
x
2
2
n
Sxx 1135204 14734
2
Sxx 49750.22
Syy
y
y
Syy
591.01
1799.432
2
2
n
2
200
Syy 52.968
Sxy xy
x y
n
Sxy 44328.69
14734 591.01
200
Sxy 788.
In a very affluent neighborhood of 12 families where the cost of
houses was $750K, the ages of the breadwinners were
recorded. We were able to find out that there was One
Breadwinner that was 22, 26,
Statistics WA 4
B) To best display this data a standard normal distribution curve would be used N(39.85, 2.07)
C) 4430/5732=0.77 or 77%
D) z = (x )/
z = (35.5 - 39.85)/2.07
z = -4.35/2.07
z = -2.1
p =