BUS 308 Week 4 assignment_ 9.13_9.22_and 12.10_12.18(a)
9.13Recall that “very satisfied” customers gave 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 represent the mean composite satisfaction rating for the XYZ-Box, set up the null hypothesis and the alternative hypothesis needed if we wish to attempt to provide evidence supporting the claim that exceeds 42.

b. The random sample of 65 satisfaction ratings yields a sample mean of x = 42.954. Assuming that equals to 2.65, use critical values to test versus at each of a = .10, .05, .01, and .001.
z = [ (42.954 – 42) / (2.64 / 65 ] = 2.91

Reject Points

Since 1.28<1.645<2.33<2.91<3.09, reject with =.10, .05, .01, but not with .001. c. Using the information in part b, calculate the p-value and use it to test versus At each of a = .10, .05, .01, and .001

p-value
Since p-value = .0018 is less than .10, .05, and .01, reject at those levels of , but not with it ( =.001). d. How much evidence is there that the mean composite satisfaction rating exceeds 42? There is a lot of evidence that the mean composite satisfaction rating exceeds 42.

9.22How do we decide whether to use a Z test or a T test when testing a hypothesis about a population mean? a. Z and T test are used when testing the hypothesis. When the hypothesis uses proportions you use the z test. When the hypothesis uses means you use the T test.

12.10A wholesaler has recently developed a computerized sales invoicing system. Prior to implementing this system, a manual system was used. The distribution of the number of errors per invoice for the manual system is as follows:

...Week4AssignmentBUS308 Statistics 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...

...Running head: WEEK4ASSIGNMENT 1
Week4Assignment
Sarah Doppelmayr
Statistics for Managers
BUS308
Edward Kaplan
January 28, 2013
WEEK4ASSIGNMENT 2
Week4Assignment
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
WEEK4ASSIGNMENT 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...

...can be stated that the random variable is continuous.
2. Question : The set of all possible experimental outcomes is called a(n)
3. Question : If two events are independent, then the probability of their intersection is represented by:
4. Question : A(n) __________ is a measure of the chance that an uncertain event will occur.
5. Question : The price-to-earning ratio for firms in a given industry is distributed according to normal distribution. In this industry, a firm with a Z value equal to 1
6. Question : The expected value of a discrete random variable is:
7. Question : For a continuous distribution, P(a ≤ X ≤ b) = P(a <X< b).
8. Question : The following formula: P(A U B) = P(A) + P(B) - P(A ∩ B) represents
9. Question : The MPG (mileage per gallon) for a mid-size car is normally distributed with a mean of 32 and a standard deviation of .8. What is the probability that the MPG for a selected mid-size car would be less than 33.2?
10.Question : The height of a continuous probability curve over a given point is
BUS308Week 2 Quiz
1. The one-sample t-test differs from the z-test in which way?
2. The z-test can be used to test mean differences even when the initial data set is not normally distributed.
3. What question does the z test answer?
4. Type I errors may occur with ______ results and type II errors with ______ results.
5. Which of the following defines statistical significance?
6. How do...

...BUS 475 Week4 Knowledge Check
1. A fast-food restaurant asks customers to evaluate the drive-thru service as good, average, or poor. What level of data measurement is this classification?
Nominal
Ordinal
Interval
Ratio
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2. In order to determine the average amount spent in November on Amazon.com a random sample of 144 Amazon accounts were selected. The sample mean amount spent in November was $250 with a standard deviation of $25. Assuming that the population standard deviation is unknown, what is a 95% confidence interval for the population mean amount spent on Amazon.com in November?
($245.88, $254.12)
($247.47, $260.09)
($250.64, $256.92)
($251.34, $256.22)
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3. A shipment of 20 DVDs has arrived at a video rental store. Based on past experience, the manager knows that 10% of all new DVDs sent to the store have a visible defect. The manager tells you to begin inspecting the new DVDs one at a time at random until you find the first DVD that has a defect. If 10% of the DVDs have a visible defect in the new shipment, what is the probability that the first DVD that has a defect is the 3rd one that you inspect? (Round your answer to 3 decimal places.)
.081
.268
.089
.716
4. An insurance agent has selected a...

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Business Model and Strategic Plan Part III
Shawn Good
BUS/475
October 27, 2014
Fredric Hibbler
Introduction
The balance scorecard is another tool that goes along the same lines as the strength, weakness, opportunity, threat, and trend or commonly known as SWOTT. The information in this document will cover the basic aspects of the balance scorecard.
The balance scorecard method will cover four main areas or quadrants and those are: shareholder value or financial perspective, customer value perspective, process or internal operations perspective, and learning and growth of the employee perspective. These four main areas or quadrants will help explain how Samsung’s new division, Customers Research and Development will be adopted into the Samsung business portfolio.
Four Areas
1. Financial Perspective: Samsung’s new division, Customers Research and Development will initially have no upfront financial consideration with Samsung supporting the new division.
1a. The division will start to focus on how to grow their own financial support t hat is separate from Samsung’s overall financial budget. This will assist both the division and Samsung as a whole by having its own cash flow. This could also assist in providing customers that submit ideas with a financial award for their ideas that are initially taken on by Samsung.
1b. While the focus will be on how the division can become financially on its own with help still from...

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“Analysis of Direct Cost”
Katherine Morales
Professor Bartorillo
May 31, 2015
BUS 315
To VectorCal, developing drones is mere child’s play and nothing more than a remote controlled aircraft type device to fly around outdoors. VectorCal has utilized this as a business venture, in that the camera can be mounted so that the drone can now take aerial photos or provide live video of what is happening on the ground from an aerial perspective. However, instead of leaving the drones play like in size, they increased the scale and added a sophisticated navigation system. They have also added small weapons systems and created and entirely different beast. Now the drones are capable of going longer distances providing aerial photography that will provide the enemy location on which they can then develop their strategy of attack and then take that same information to lead the attack without ever leaving their office. There are many resources that are involved and with those resources comes the cost related to them.
There are many cost that are associated with the production of this system as it takes precise engineering, precise manufacturing to the exact specifications, machinery, labor, and the ability to handle the necessary preciseness of manufacturing these systems. There are also costs associated with testing and further developing on the flawed components found by the testing, and the list goes on. For example, the two main costs associated with production...

...issues to various change approaches, it can be seen that there are many areas where management taken a different approach to the change. If a different approach was taken, it could have easily lead to a successful swipe card implementation versus the outcome that lead to the 250-check in staff, losing 40 million pounds and negatively effecting the company’s reputation.
References
Akin, G., Dunford, R., & Palmer, I. (2009). Managing organizational change: a multiple perspective approach (2nd. Ed). New York, NY: McGraw-Hill
Huy, Q. N. 2001. Time, temporal capability, and planned change.
Academy of Management Review 26(4):601–23
Kanter, R. M., Stein, B. A., & Jick, T. D. (1992). The challenge of organizational change. New York, NY: Free Press.
Levasseur, R. E. (2001). People Skills:Change Management Tools--Lewin's Change Model. Interfaces, 31(4), 71.
...

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BUS308 STATISTICS FOR AMANAGERS
BUS308Week 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.)
BUS308Week 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?
BUS308Week 1 Problem Set Week One
Problem Set Week One. All statistical calculations will use the Employee Salary Data set (in Appendix...