PageFord
STAT200
Homework#4
8.AssumethespeedofvehiclesalongastretchofI10hasanapproximatelynormal
distributionwithameanof71mphandastandarddeviationof8mph.
a. The current speed limit is 65 mph. What is the proportion of vehicles less than or
equal to the sp
Page Ford
STAT 200
HW 6
18. You choose an alpha level of .01 and then analyze your data.
a. What is the probability that you will make a Type I error given that the null hypothesis
is true?
b. What is the probability that you will make a Type I error give
Page Ford
Stat 200
Homework 3
5. A fair coin is flipped 9 times. What is the probability of getting exactly 6 heads?
1/(2^9) x (9/6)
(2 ^9) = 512
(9 x 8 x 7)/ (3 x 2 x 1)= 84
84/512 = 0.1640625 x 100
16.4 %
7.You flip a coin three times. (a) What is the p
Page Ford
Stat 200
HW 7
2. The formula for a regression equation is Y = 2X + 9.
a. What would be the predicted score for a person scoring 6 on X?
y = 2(6) +9
y=12+9
y=21
b. If someones predicted score was 14, what was this persons score on X?
14 = 2x + 9
STAT 200 QUIZ 2
STAT 200 Introduction to Statistics
Page 1 of 4
Name Page Ford
QUIZ 2
Answer Sheet
Instructions:
This is an openbook quiz. You may refer to your text and other course materials as you work on
the exam, and you may use a calculator.
Record
Page Ford
Homework 5
Stat 200
4. Why is a 99% confidence interval wider than a 95% confidence interval?
If I have 95 % confidence intervals, that means I am 95 % certain that the true
population means is in the interval.
12. A person claims to be able to
Page Ford
STAT 200
July 2, 2017
9. Which of the box plots on the graph has a large positive skew?
Which has a large negative skew?
B has a large positive skew means that the mean is larger then
median. C has a large negative skew that means the median is
Page Ford
Stat 200
Homework 8
10. If an experiment is conducted with 5 conditions and 6 subjects in each condition,
what are dfn and dfe?
5 conditions (K)
6 subjects
n = 5 x 6 = 30
Degree of freedom (dfn) = n1 = 30 1 =29
Error degree of freedom (dfe) = n
Chapter 1 Summary
What Is Statistics?
Statistics, a small word means a lot and it is one of the most important terms to
study business and understand it. It is the science of collection, organizing, presenting,
analyzing, and interpreting data to assist i
Ch2 summary
What is frequency table?
It is a grouping of qualitative data into mutually exclusive classes showing the number of
observation in each class.
Ex. Republican, democrat, or independent; or state of birth.
A relative frequency table shows the fr
Chapter 3 Summary
TR 12:15
Describing Data
A measurement of location is a value used to describe the center of a set of data.
A. the arithmetic mean is the most widely reported measure of location.
1. It is calculated by adding the values of that observat
Ch7 Summary
Continuous probability distributions
1. The uniform distribution is continuing his brother Billy Dee distribution with the
following characteristics:
A. It is rectangular in shape
B. The mean and the median are equal
C. It is completely descri
Chapter 4 summary
Describing Data
Displaying and Exploring Data
A dot plot shows the rang of values on the horizontal axis and the number of
observations for each value on the vertical axis.

Dot plot report the details of each observations.
They are use
Chapter 6 Summary
1. A random variable is a numerical value determined by the outcome of an experiment.
2. A probability distribution is a listing of all possible outcomes of fun experiment and the
probability associated with each outcome.
a. Add discrete
Chapter 5 summary
1 A proability is value between zero and one inclusive represent that likelihood a
particular event what happen
A. An experiment is the observation of some activity or the act of taking some
measurement.
B. And outcome is a particular r
Stable Stochastic System
The model that seems to fit the world the best is a stable stochastic system. A
stochastic system is one where the outcomes can vary even if inputs are held fixed.
What makes it stable is that the distribution of random variables
UE:
Regression Function:
The outcomes of a stochastic system can be described by a random variable Y. The system when
stable requires that Y have the same distribution on each run of the system. Sometimes the
system changes as a predictor changes.
For ins
What are principles?
Assertions that are both surprising yet useful in helping us define
approaches to move us towards the purpose.
Principle #1:
Everyone doing their best may not be best.
This principle has 2 contexts: (1) analogous to an assembly line
Shivam Patel
Stats 408
Mastery #4
Todays Problems Often Arise From Yesterdays Solutions
The principle I will be focusing on is how todays problems arise from yesterdays solutions. An
example to illustrate this principle would be trying to fix a bump in a
Shivam Patel
Stats 408
Mastery #3
Pipe Smokers Paradox
The principle I will be focusing on is the Pipe Smokers Paradox. An example to illustrate this is to
claim that people with doctorate degrees live longer then people without. This is a paradox because
Shivam Patel
Stats 408
Mastery #5
Selection Bias
The principle I will be focusing on is selection bias. Selection bias occurs when the target group
of a study is different from the group selected for the study. An example of this would be promoting an
emp
Eric Tang
Statistics 408
Homework Set 08
Fall 2016
1. Provide a situation where rule 2 of the funnel experiment may provide a useful model. In
your response indicate the role of funnel, target and the beans location in the context of
the example.
In regar
Statistics 408
Homework Set 02
Fall 2016
1. Suppose we find that among couples that have lived together before they marry 60% end in
divorce. Further, among couples that did not live together before they marry 45% end in
divorce. Identify a stratifying va
Eric Tang
Homework Set 4
Stat 408
Fall 2016
1. Explain what is meant by a stable system. Can you know, by observing the outcomes of a
system whether it is stable?
A stochastic system is said to be stable if the outcomes are identically distributed.
For th
Eric Tang
Homework Set 5
Stat 408
Fall 2016
1. Explain why we might imagine that earning a PhD degree extends your lifelength.
We might think that earning a PhD degree extends your lifelength because say
most people who earn a PhD are usually around 30
Eric Tang
Statistics 408
Fall 2016
Homework Set 9
1. Provide an example to illustrate how we can estimate the proportion of people who use
an illegal drug?
2. Indicate how smoothing of data can create the appearance of cycles.
3. Describe the four compone
Homework 6
Stat 408
Fall 2016
Review Questions
Do not submit your answers to GSI
1. Explain why the purpose of a company cannot be either of the following:
i. Maximize Profits
ii. Gain the largest share of the market
2. Explain why when we do not achieve
Eric Tang
Statistics 408
Homework Set 03
Fall 2016
1. The physician claims that the probability that a patient has a viral infection is 95%. What
does this statement mean (provide an operational definition for this measure)? Is this a
property of the indi
Eric Tang
Homework Set 7
Statistics 408
Fall 2016
1. Describe how the range, mean absolute deviation, the variance and the entropy measures
are calculated as measures of variation.
Range: difference between the maximum and minimum value of a data set.
Mea