f318fcefacfe050afd95656c664427506501721b
Class
First
First
First
First
First
First
First
First
First
First
First
First
First
First
First
First
First
First
First
First
First
First
First
First
First
First
First
First
First
First
First
First
First
First
Firs
BUAD 2053 - Business Statistics
Fall 2016
Practice Exam 2
Due: Noon Tuesday. October 18. Keys (written and video) will be available at that time. With
that in mind, late submissions will receive a grade of O.
This practice exam consists of 4 problems
and
BUAD
2053
- Business
KLL
Statistics
Exzm2
Practice
Spring 2017
Due by midnight on Tuesday, February 28. Make srue you have the dght fiIe attached (You have
two tries.). A key will be posted right after midnight. Hence, Iate assignmeflts cannot be accepted
Chris Lewis
BUAD 2053
R Assignment 5
Exercise 1
The following output and histogram are from exercise one. The population distribution has a mean of
1500 with a median of 1442. The small area is 334 and the largest is 5642. 68% of the area of the homes
in
1) A bank's loan officer rates applicants for credit. The ratings are normally distributed with a mean of
200 and a standard deviation of 42.4.
a) If a single applicant is randomly selected, find the probability of a rating that is over 240?
=
=
240200
BUAD 2053 Business Statistics
Fall 2016
Practice Exam 2
Due: Noon Tuesday, October 18. Keys (written and video) will be
available at that time. With that in mind, late submissions will receive a
grade of 0.
This practice exam consists of 4 problems and 24
Chris Lewis
BUAD 2053
R Assignment 5
Exercise 1
The following output and histogram are from exercise one. The population distribution has a mean of
1500 with a median of 1442. The small area is 334 and the largest is 5642. 68% of the area of the homes
in
BUAD 2053 Business Statistics
Practice Exam 2
Spring 2017
Due by midnight on Tuesday, February 28. Make sure you have the right
file attached (You have two tries.). A key will be posted right after midnight.
Hence, late assignments cannot be accepted.
Dir
R Assignment 4 (Foundations of statistical inference)
Exercise 1
Note: The population is slightly skewed to the right (shape of histogram and fact that mean > median)
The lab doesnt ask you to calculate the standard deviation, but I think the point of the
BUAD 2053 - Business
Statistics
Spring 2017
Course Description:
This course introduces basic descriptive and inferential
statistics and their application to business problems. Topics
covered include descriptive statistics, the normal distribution,
one and
BUAD 2053 Business Statistics
Spring 2017
R Assignment 6
Due: March 7, 2017 (midnight)
1. A school board wanted to see if reading test scores have changed in the
past 30 years by testing a random sample of 40 students to see whether
there is a significant
# Enter the values for mu and sigma
# Enter the lower value (since you are looking for the value above some point)
# Highlight everything and run
mu = 146
sigma = 12.33
lower = 165
min = mu - 3.5 * sigma
max = mu + 3.5 * sigma
pr = 1 - pnorm(lower,mu,sigm
#
#
#
#
Enter the values for mu and sigma
The area below "upper" will be shaded.
After you enter the three values below,
Highlight everything and Run
mu = 726
sigma = 88
pr = .3
# pr = percentile
upper = qnorm(pr,mu,sigma)
min = mu - 3.5 * sigma
max = mu
BUAD 2053 Business Statistics
Spring 2017
R Assignment 7
Due: March 7, 2017 (midnight)
1. A company with a fleet of 150 cars found that the emissions systems of 7
out of the 22 they randomly chose and tested failed to meet pollution
control guidelines. We
?prop.test
# In a random sample of 100 students, 57 have eaten pizza in the past 24 hours.
# Can we conclude that the population proportion is greater than .5?
prop.test(57, 100, p=.5, alternative = "greater")
# won't be the same as calculator or textbook
#
#
#
#
Enter the values for mu and sigma
The area between "lower" and "upper" will be shaded.
After you enter the four values below,
Highlight everything and Run
mu = 20
sigma = 3.6
lower = 24
upper = 30
min = mu - 3.5 * sigma
max = mu + 3.5 * sigma
pr =
1. Office automation is occurring faster than we might choose.
2. Did he ask if we are against a no-smoking policy?
3. Would you please close the front door and the side window?
4. You have won a new pick-up truck! Great!
5. A compound sentence contains t
Welcome to Statistics
CSIS 1206-09
Professor Michele Colon
Stockton University
Class Info
Introductions and survey
Syllabus
Blackboard
Class calendar
CHAPTER ONE
The Nature
of
Probability and Statistics
3
Introduction
Statistics is the science of conducti
Statistics
Chapter 1 Part 2
Elements of Experimental
Design
1-4 Experimental Design
In an observational study, the researcher
merely observes and tries to draw conclusions
based on the observations.
The researcher manipulates the independent
(explanatory)
Sarah Josey
Scatterplot
1. From this graph, one can see that the taller the person is, the more they tend to weigh.
2. The points that go with the females tend to be in the lower left hand corner, while the points
that go with the males are in the upper r
Sarah Josey
1. Min. 1st Qu. Median Mean 3rd Qu. Max.
76500 112000 140000 171000 202000 584000
2. The shape of the sampling mean distribution, as you can see below follow the same shape as
any other large normal distribution. The spread is very small, but
SAM Projects 2010
Laura Ridgeway, SC Excel Case C5_L1A
Submission #4
Score is 100 out of 100
1. Verify that your name appears in cell B4 of the Documentation sheet.
2. Switch to the Sheet1 worksheet and complete the following formatting changes. a) Bold t
Abstract film: An experimental film whose subjects are shapes and perhaps sounds that do
not represent the real world.
Allusion: A reference in a text to a person, event, or other text.
Ambiguity: An aspect of a text that is open to two or more plausible