Spring 2017
Introductory Applied Statistics (STP 420)
Class #: 15089
Class time: TTh 9:00 10:15am, in WXLR A118
Instructor: Dr. Marko amara
Email: [email protected]
(Note: when sending me an email, please specify what course you are in)
Office: WXLR 636 (W
Chapter4Part2Notes
RationalChoiceTheory
Eliminatingcrime:
Potentialoffendersmustbeconvinced:
o Crimeisapoorchoicethatwillnotbringrewards,butonlyhardship
o Crimeisnotworththeeffort.Itseasiertogetajob.
o Crimebringspainthatisnoteasilyforgotten
Situationalcr
Allison Liaiga Homework Week 1
1.3
6. 1, 1, 0
18.
x
f(x)
.01
.576706
.001
.58666898
.0001
.5876748
0
.0001
.58789855
.001
.588906
.01
.59908
.5877
1.4
10. a) The equation is wrong because a very important part the part that were trying to findwas lef
Allison Liaiga Homework Week 12
4.5
10. a.)
b.)
(
( )
)(
(
)
)
( )
(
)(
( )
14.
square meter
)
( )
( )
( )
material for base: $10 per square meter, material for sides: $6 per
Allison Liaiga Homework Week 12
( )(
(
)
)
, so the smallest number w could be i
Allison Liaiga Homework Week 9
3.7
2.
, LHopitals rule did apply here however the use of factoring was a much
easier way to find the limit.
4.
6.
10.
12.
28.
( )
Allison Liaiga Homework Week 9
38.
40.
4.1
28.

 

, the derivative of this function can
Allison Liaiga Homework Week 7
3.1
14. a.)
b.)
16. a.)
b.)
24.
26.
3.2
2. a.) The inverse function would have all of the outputs of the original function as its inputs and
vice versa. Therefore, the inverse functions domain would be B and its range A.
b.)
Allison Liaiga Homework Week 14
5.3
54. The function represents the total population of bees after fifteen weeks.
56. The function represents the change in the slope that occurs between three and five miles.
60. a.)
( )
(
)
( )
b.) 
( )]

( )
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( )]
STP 427 Mathematical Statistics
Homework 5 Solution
W. Yu
1. Exercise 4.2.12
Let Y be B(300, p). If the observed value of Y is y = 75, find an approximate 90%
confidence interval for p.
Solution:
75
= 0.25
300
= z.05 = 1.645.
p =
For a 90% confidence inte
STP 427 Mathematical Statistics
Homework 6 Solution
W. Yu
1. Exercise 5.1.3
Let Wn denote a random variable with mean and variance b/np , where p > 0, , and
b are constants (not functions of n). Prove that Wn converges in probability to .
Hint: Use Chebys
The material contained herein is the intellectual property
of Second Wind Productions, LLC 20102016. This copy
is for your personal reference and use for this course, as
well as in the future. However, any reproduction and/or
other dissemination in any f
Intro to Stats: HO3.2.1: Risk & Error Types
Use this reference sheet to define the following important terms and
concepts.
Failure =
Risk =
Success =
Confidence =
Risk + Confidence =
_
_
_
_ or _
_ or _
_
_
_
or
_
_
_
_
or
_
2016 Second Wind Productions,
The material contained herein is the intellectual
property of Second Wind Productions, LLC 20102016. This copy is for your personal reference and
use for this course, as well as in the future.
However, any reproduction and/or other
dissemination in any fo
The material contained herein is the intellectual property
of Second Wind Productions, LLC 20102016. This copy
is for your personal reference and use for this course, as
well as in the future. However, any reproduction and/or
other dissemination in any f
Intro to Stats: HO1.3.1: Measures of Centrality
Use this reference sheet to define the following important terms.
Populations
Samples
A Statistic:
Set Size/Count:
Mean:
Median:
Mode:
Measure of Centrality
Data Level
Ratio
Interval
Ordinal
Nominal
Mode
Me
The material contained herein is the intellectual property
of Second Wind Productions, LLC 20102016. This copy
is for your personal reference and use for this course, as
well as in the future. However, any reproduction and/or
other dissemination in any f
Intro to Stats: HO3.2.1: Hypotheses
Use this reference sheet to define the following important terms and
concepts.
Hypothesis:
Null Hypothesis:
Alternate Hypothesis:
Example: A tire company claims that their all season radials will last an average
of 80,0
Intro to Stats: HO2.3.1: Frequency Distributions
Use this reference sheet to define the following important terms and concepts.
Frequency:
Distribution:
Frequency Distribution =
Sample Data Set: cfw_3, 5, 6, 3, 7, 4, 4, 5, 7, 6, 5, 7, 2, 6
We could calcu
The material contained herein is the intellectual property
of Second Wind Productions, LLC 20102016. This copy
is for your personal reference and use for this course, as
well as in the future. However, any reproduction and/or
other dissemination in any f
Business Analysis: HO2.1.1: Probability Basics
Use this reference sheet to define the following important terms.
Research:
Experiment:
Trial:
Repetition:
Event:
Outcome:
Outcome fairness:
Probability:
Pr(E):
Classic/Empirical Definition of Probability:
Pr
Review for Midterm 1
Midterm information
15 questions for a total of 100 points
4 short answer questions (51 points)
9 multiple choice questions (45 points)
2 true/false questions (4 points)
Formula sheet
Section 1.2
Experimental versus observational
Name:_
Chapter 7 Problem Solving Worksheet
1. The following diagram has three normal curves. One curve represents the distribution of a
population; one curve represents the distribution of the samples means from the population for
samples of size 5; and t
Name:_
Chapter 8 Problem Solving Worksheet
1. The following sample is a sample of blood glucose levels taken from 10 children aged 14 16
who report that they routinely eat fast food three or more times a week.
100 99 97 104 124 120 89 122 118 101
a)Becaus
Name:_
Chapter 3 Problem Solving
1. Last year, nine employees from the Math Department retired. Their ages at retirement are
listed: 53, 56, 57, 58, 62, 62, 64, 65, 67
Find the sample mean and sample standard deviation for the retirement age. (calculate b
Name:_
Chapter 9 Problem Solving Worksheet
1. Suppose you are conducting the following tests with the following test statistics.
Calculate the Pvalue for each of the problems.
(a) A ztest with the following null and alternative hypothesis and test stati
Name:_
Chapter 4 Problem Solving
1. A longterm study of changing environmental conditions in the Chesapeake Bay found the
following annual average salinity readings in one location in the bay, where t = 0 stands for
the year 2000, t = 10 stands for the y