Final Project Part II
Sabrina Salas
Business 308 Statistics for Managers
Professor Edward Kaplan
February 4, 2013

In today’s society, gas and oil prices continue to rise which has a direct impact not only on one’s household but also in the delivery service industry. As prices on gas rise, the impact is felt on the consumer as delivery services increase their prices. While many Americans try to conserve their savings, this places limits on spending. Due to the advancement in technology, online shopping has increased which saves many consumers money on driving to and from stores. However, with the increase on gas prices, many delivery services have stopped their free shipping in order to compensate on the rising gas prices. This can either benefit the company or it can be a disadvantage. Due to the demand and increase of online shoppers, forecasting oil and gas prices are necessary. Organizations in this type of industry can research and forecast oil and gas prices by creating projected reports for the next ten years. By using a scatterplot and linear regression line, companies can predict the increase of gas prices thus come up with various strategies to stay competitive. The most significant factor in the production of gas is crude oil. The prices in gas fall and rise due to the cost of crude which is established by supply and demand on the global commodities market. During the recession in 2008 and 2009, the gas prices went down because of less demand. However, as the economy progresses, the demand is rising. In the meantime with conflict in the Middle East and North Africa, the supply is at risk. With both the rising demand and the risk of reduced supply, gas prices are increasing. Crude oil comprises of more than 65 % of what Americans pay at the pump. In addition, gas prices are impacted by costs of refining, distribution, government and marketing taxes (API, 2013). This information is especially important to those who...

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BUS 308STATISTICS FOR AMANAGERS
BUS 308 Week 1 DQ 1 Language
Numbers and measurements are the language of business.. Organizations look at results, expenses, quality levels, efficiencies, time, costs, etc. What measures does your department keep track of ? How are the measures collected, and how are they summarized/described? How are they used in making decisions? (Note: If you do not have a job where measures are available to you, ask someone you know for some examples or conduct outside research on an interest of yours.)
BUS 308 Week 1 DQ 2 Levels
Managers and professionals often pay more attention to the levels of their measures (means, sums, etc.) than to the variation in the data (the dispersion or the probability patterns/distributions that describe the data). For the measures you identified in Discussion 1, why must dispersion be considered to truly understand what the data is telling us about what we measure/track? How can we make decisions about outcomes and results if we do not understand the consistency (variation) of the data? Does looking at the variation in the data give us a different understanding of results?
BUS 308 Week 1 Problem Set Week One
Problem Set Week One. All statistical calculations will use the Employee Salary Data set (in Appendix section).
Using the Excel Analysis ToolPak function Descriptive...

...
Group Assignment
BusinessStatistics
CBEB1109
Tutorial : Tuesday 11.00am – 12.00pm
Instructor : Dr. Sharifah Latifah Binti Syed A Kadir
Group : Group 2
Group Members :
1.
Kao Wei Jian
CEA 130028
2.
Lim Kin Chun
CEA 130041
3.
Amirul Asyraaf bin Azhar
CEA 130002
4.
Nur Hasfaiza bt Mohd Zaid
CEA 130063
5.
Muhammad Hamdin Zarif Bin Mohd Zaidi
CEA 100062
6.
Lim Sin Pei
CEA 130043
7.
Wong Siew Yen
CEA 130097
1. Of 100 individuals who applied for systems analyst positions with a large firm during the past year, 40 had some prior work experience, 30 had a professional certificate and 20 of them had both work experience and a certificate.
a Determine if work experience and certification are independent events.
Let A = Prior Work experience
B = Professional Certificate
A
A’
Total
B
20
30
50
B’
40
10
50
Total
60
40
100
=
= 0.4
P(A) =
= 0.6
, so it is not an independent event.
b What is the probability that a randomly chosen applicant,
i had either work experience or a certificate?
) =
=
= 0.9
ii has neither work experience nor a certificate?
iii has a certificate if he has some previous work experience?
= 0.33
2. Because of economic conditions, a firm reports that 30 percent if its accounts receivable from other business firms are overdue. If an accountant takes a random sample of 10 such accounts, determine the probability that
p=30% @ 0.3
n=10
X~B(10,0.3)
a. none of the account is overdue
By...

...
BusinessStatistics II: Research Paper
Robert Franjieh
April 19, 2015
Introduction
This research paper will be designed to answer a couple questions regarding statistics about the Buena School District school bus data. The questions I will be discussing and answering will be based on maintenance of the school busses. The question prepared is; is it cheaper or more expensive to run Thompson, Bluebird, or Keiser busses? I will also be addressing another question based on other variables by removing the gas types and making it just one gas type instead of two; does gas type have anything to do with the maintenance of the Thompson, Bluebird and Keiser busses when removed from the regression? In order to answer these questions, both regressions and data sets do not contain the 6 passenger busses, being there are only very few and that they might skew the regression.
To explain a little about maintenance on busses, a routine oil change can run anywhere between $150-$250. Diesel engines can go 6,000 to 10,000 miles between oil changes depending on idling time and driving time. If you buy a used bus, one of the first major components that may fail you is the turbocharger. Expect to pay $1,700-$2,000 for a replacement. A tire for a bus can easily cost anywhere between $400-$600. This does not include the price of installation. If your bus should break down, you will need a heavy-duty...

...Week 4 Assignment
BUS 308Statistics for Managers
January 28, 2013
9.13) Recall that “very satisfied” customers give XYZ-Box video game system a ratting at least 42. Suppose that the manufacturer of XYZ-Box wishes to use the random sample of 65 satisfaction ratings to provide evidence supporting the claim that the mean composite satisfaction rating for the XYZ-Box exceeds 42.
a. Letting u represent the mean composite satisfaction rating for the XYZ-Box, set up the null hypothesis H0 and the alternative hypothesis Ha needed if we wish to attempt to provide evidence supporting the claim that µ exceeds 42.
H0: mu 42
b. The random sample of 65 satisfaction rating yields a sample mean of x = 42.954. Assuming that s equals 2.64, use critical values to test H0 versus Ha at each of a = .10, .05, .01, and .001.
z-statistic:
z = (xbar - µ)/(σ/√n)
z = (42.954 - 42 )/(2.64/√65)
z = 0.954 / (2.64/8.0623)
z = 2.9134
alpha z-crit result
0.10 1.282 significant
0.05 1.645 significant
0.01 2.326 significant
0.001 3.09 not significant
c. Using the information in part b, calculate the p-value and use it to test H0 versus Ha at each of a = .10, .05, .01, and .001.
Upper tail p- value for z = 2.9134 is 00018
Since 0.0018 < 0.10, 0.05 and 0.01, we reject Ho and accpt Ha at a = 0.10,
0.05 and 0.01, and conclude that the mean rating exceeds 42
Since 0.0018 > 0.001, we fail to reject Ho at a = 0.001,...

...Trajico, Maria Liticia D.
BSEd III-A2
REFLECTION
The first thing that puffs in my mind when I heard the word STATISTIC is that it was a very hard subject because it is another branch of mathematics that will make my head or brain bleed of thinking of how I will handle it. I have learned that statistic is a branch of mathematics concerned with the study of information that is expressed in numbers, for example information about the number of times something happens. As I examined on what the statement says, the phrase “number of times something happens” really caught my attention because my subconscious says “here we go again the non-stop solving, analyzing of problems” and I was right. This course of basic statistic has provided me with the analytical skills to crunch numerical data and to make inference from it. At first I thought that I will be alright all along with this subject but it seems that just some part of it maybe it is because I don’t pay much of my attention to it but I have learned many things. I have learned my lesson.
During our every session in this subject before having our midterm examination I really had hard and bad times in coping up with this subject. When we have our very first quiz I thought that I would fail it but it did not happen but after that, my next quizzes I have taken I failed. I was always feeling down when in every quiz I failed because even though I don’t like this...

...Running head: WEEK 4 ASSIGNMENT 1
Week 4 Assignment
Sarah Doppelmayr
Statistics for Managers
BUS308
Edward Kaplan
January 28, 2013
WEEK 4 ASSIGNMENT 2
Week 4 Assignment
Chapter 9: 9.13 Recall that “very satisfied” customers give the XYZ-Box video game system a rating that is at least 42. Suppose that the manufacturer of the XYZ-Box wishes to use the random sample of 65 satisfaction ratings to provide evidence supporting the claim that the mean composite satisfaction rating for the XYZ-Box exceeds 42. A. Letting mew represent the mean composite satisfaction rating for the XYZ-Box, set up the null hypothesis H0 and the alternative hypothesis Ha needed if we wish to attempt to provide evidence supporting the claim that mew exceeds 42. H0: mu 42 B. The random sample of 65 satisfaction ratings yields a sample mean of x bar = 42.954. Assuming that sigma equals 2.64, use critical values to test H0 versus Ha at each of .10, .05, .01 and .001. z-statistic: z = (xbar - μ)/(σ/√n) z = (42.954 - 42 )/(2.64/√65) z = 0.954 / (2.64/8.0623) z = 2.9134 alpha z-crit result 0.10 1.282 significant 0.05 1.645 significant
WEEK 4 ASSIGNMENT 3
0.01 2.326 significant 0.001 3.09 not significant C. Using the information in part b, calculate the p-value and use it to test H0 versus Ha at each of .10, .05, .01 and .001. The p-value is 0.0025. This being stated, the result is significant at 0.10, 0.05, and 0.01, because p < alpha. At 0.001, the...

...
Business Analytics: Unit 1: Descriptive Statistics and Mathematical Foundations
Kaplan University
March 23, 2014
Descriptive Statistics and Mathematical Foundations
Part I: Pie Chart & Bar Graph
This information regards T-100 Domestic Market’s boarding information during the previous year for the top seven airlines in the United Sates. According to the data Southwest Airlines boarded 81.1 million; Delta Airlines, 79.4 million; American Airlines, 72.6 million; United Airlines, 56.3 million; Northwest Airlines, 43.3 million; U.S. Airways, 37.8 million, and Continental Airlines, 31.5 million (KU, 2014).
This is ungrouped data that needs to be grouped into a pie chart and a bar graph. The bar graph and pie chart both lists nonmetric (qualitative) descriptive statistics. The descriptive statistics are called, ordinal statistics which rank each airline from highest to lowest or lowest to highest annual boarding information (Black, 2012). The pie chart and bar graph summarizes the top seven airlines previous years boarding data. First, I will discuss the pie chart. The pie chart below shows the percentage breakdown of each airline’s annual boarding information. Each of the breakdowns represents the magnitude of the whole pie chart in percentages (Black, 2012). As you will notice that the leaders in the airline industry is Southwest and Delta Airlines with 20 percent...

...Department of statisticsStatistics for Business, Stat 130
Midterm exam
November 15, 2011
Form B
Name: | I.D. Number: |
Instructions:
* Write your name and student ID.
* You have one hour and thirty minutes to complete the exam.
* You may use a formula sheet and a calculator. No other outside materials are allowed.
* There are seven problems in the exam.
* Total score of points is 20.
Problem 1:(5 points) Multiple-choice questions:
Question 1: If A and B are mutually exclusive events, with P(A) = 0.6 and P(B) =0 .4, then P(A and B) is:
a. 0.50
b. 0.00
c. 0.24
d. 1.00
Question 2: As the sample size, n, increases, what happens to the shape of the sampling distribution of the means?
a. approaches the uniform distribution
b. positively skewed
c. approaches a normal distribution
d. negatively skewed
Question 3: Which of the following statements is correct?
a. A point estimate is an calculated from the population
b. A point estimate is an estimate of the range of a population parameter
c. A point estimate is a single value estimate of the value of a population parameter
d. All of the above
Question 4: Sampling distributions describe the distribution of
a. sample statistics
b. population parameters
c. neither parameters nor statistics
d. both parameters and...

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