In each of the assignments in this course‚ you will be dealing with the following scenario: American Intellectual Union (AIU) has assembled a team of researchers in the United States and around the world to study job satisfaction. Congratulations‚ you have been selected to participate in this massive global undertaking. The study will require that you examine data‚ analyze the results‚ and share the results with groups of other researchers. Job satisfaction is important to companies large and
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Week 4 15.18 Sixty-four students in an introductory college economics class were asked how many credits they had earned in college‚ and how certain they were about their choice of major. Research question: At α = .01‚ is the degree of certainty independent of credits earned? Certaint Credits Earned | Very Uncertain | Somewhat certain | Very Certain | Row Total | 0–9 | 12 | 8 | 3 | 23 | 10 to 59 | 8 | 4 | 10 | 22 | 60 or more | 1 | 7 | 11 | 19 | Col Total | 21 | 19 | 24 | 64 |
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Diversified Global holdings group Strategic analysis business analytics department for CCResorts Central coast Strategic analysis BUsiness analytics Department Executive summary This study was produced on behalf of the Business Analytics Department at DGHG for CCResorts in order to examine market research and determine how the venture is progressing. The company provided a data sample from the past 12 months with 200 entries‚ each with 6 variables. The aim of this report is to evaluate
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30-year mortgage rate for small banks is less than 6 percent? Estimate the p-value. Chapter 11 27. A recent study focused on the number of times men and women who live alone buy take-out dinner in a month. The information is summarized below. Statistic Men Women Sample mean 24.51 22.69 Population standard deviation 4.48 3.86 Sample size 35 40 At the .01 significance level‚ is there a difference in the mean number of times men and women order take-out dinners in a month? What is the p-value
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GM 03 Business Statistics Assignment II Assignment Code: 2012 GM03 B2 Last Date of Submission: 15th November 2012 Maximum Marks: 100 Attempt all the questions. All questions are compulsory and carry equal marks. SECTION – A 1. a) Explain the need for different forecasting techniques. How can we evaluate as to how good is our forecast. b) Collect data on the amount of expenditure you do each day for the next 25 days and
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6.14 Show that for a sample of n = 39‚ the smallest and largest Z values are – 1.96 and + 1.96‚ and the middle (i.e.‚ 20th) Z value is 0.00. 6.19 The data in the file spending represent the per-capita spending‚ in thousands of dollars‚ for each state in 2004. Decide whether the data appear to be approximately normally distributed by A. Comparing data characteristics to theoretical properties. B. Constructing a normal probability plot. 7.1. For a population containing N=902 individuals what code number
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MBA 501A – [STATISTICS] ASSIGNMENT 4 INSTRUCTIONS: You are to work independently on this assignment. The total number of points possible is 50. Please note that point allocation varies per question. Use the Help feature in MINITAB 16 to read descriptions for the data sets so that you can make meaningful comments. [10 pts] 1. Use the data set OPENHOUSE.MTW in the Student14 folder. Perform the Chi Square test for independence to determine whether style of home and location are are related.
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Coursework This handout provides information about the module’s second coursework. Below‚ you will find the coursework as well as information about the marking scheme. * The coursework requires you to engage with regression analysis by performing various regressions in Eviews and by commenting on the main results. * The aim of the coursework is to test your ability to handle datasets with the use of a specialist software and to provide critical and informative comments on the outcome of
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9.54 (a) At the .01 level of significance‚is the true mean greater than 10? Null Hypothesis: Ho: M = 10 :Mean is 10 or less pages Alternative Hypothesis: H1: M >10 :Mean is more than 10 pages Significance level=alpha (a) = 0.01 or 1% No of tails= 1 This is a 1-tailed test because we are testing that the mean is greater than 10 Since sample size= 35 >= 30 we will use normal distribution This is a one tailed test because we are testing the area in the right tail Since
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Hypothesis: Ho: P = .10 (Mr. Plex and consortium will seriously consider settlement) H1: P < .10 (Mr. Plex and consortium will rigorously defend any lawsuit by Tommy) Analysis： For this case‚ we use 0.01 as the significance level. In a hypothesis test‚ a Type I Error occurs when the null hypothesis is rejected when it is in fact true. That means if the consortium decides to consider a settlement when greater than 10% of the patrons resented ads/commercials is true and we reject the null hypothesis
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