Submitted By jiejiemm

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Words 380

Pages 2

Pr 10-47, On April 18, 2010, Jane Juniper purchased 30 shares of Bryan Corp. stock for $210, and on September 29, 2010, she purchased 90 additional shares for $900. On November 28, 2010, she sold 48 shares, which could not be specifically identified, for $576 and on December 8, 2010, she sold another 25 shares for $188. What is her recognized gain or loss?

$210/30=$7 per share - April 18, 2010

$900/90=$10 per share - September 29, 2010

I will use FIFO to calculate the recognized gain or loss:

November 28, 2010 – Sold 48 shares for $576, the cost basis was $390 (30*$7 plus 18*$10) therefore the total gain was $186.00

December 8, 2010 - Sold 25for $188, cost basis was $250 (25*$10) therefore the total loss was $62.

Jane Juniper had an overall gain for the year of 2010 of $124.00

11-40,

Debbie…...

...Natasha Douglas Managerial Statistics Math 533 Project A The following statistical information is based on Data from the AJ Davis Dept. Store, who wanted to find out a little more about their credit customers. The Data is compromised of a sample of 50 credit customers based on five different variables The 1st individual variable is based on location divided in 3 different categories. 1) Rural-which is an area outside of cities and towns. 2) Urban-pertaining to a city or a town and 3) Suburban-a residential district located on the outskirts of a city. According to the graph you have 26% of the population lives in the Rural area, 30% lives in the Suburban area and the largest 44% lives in the Urban. To sum it up the majority of the Credit Customers leaves in the Urban locations. The first pairing is between Size and Income. Based on the Data at hand the graph shows that the size of people’s income is less than their household size. According to the Data people’s households have higher percentages than the money they bring in to support their households. The 2nd Individual pairing shows a graph of credit balances based on the data provided. The Median credit balance is $4,090. The data starts with $1,864 as the lowest credit balance and the highest is $5,678. The range of the Credit balances is $1638.25 In the 2nd pairing based on the data provided. People who have lived in the same location the longest have high credit balances, than the majority of those......

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...Course Project B By Elmer Gomez elmgomezg@gmail.com MATH-533: Applied Managerial Statistics Keller Graduate School of Management Professor John Rolston a. The average (mean) annual income was less than $50,000 Null Hypothesis: The average annual income was greater than or equal to $50,000 H₀: µ > 50000 Alternate Hypothesis: The average annual income was less than $50,000. Ha: µ > 50000 Analysis Plan: Significance Level, α=0.05. Since the sample size, n > 30 I will use z-test for mean to test the given hypothesis. As the alternative hypothesis is Ha: µ > 50000, the given test is a one-tailed z-test. Critical Value and Decision Rule: The critical value for significance level, α=0.05 for a lower-tailed z-test is given as-1.645. Decision Rule: Reject H₀, if z – statistic, -1.645 Test Statistic in - minitab One-Sample Z: Income ($1000) Test of mu = 50 vs < 50 The assumed standard deviation = 14.55 95% Upper Variable N Mean StDev SE Mean Bound Z P Income ($1000) 50 43.48 14.55 2.06 46.86 -3.17 0.001 Interpretation of Results and Conclusion: Since the P-value (0.0001) is smaller than the significance level (0.05), we reject the null hypothesis. The p-value implies the probability of rejecting a true null hypothesis. The significance level of 0.05, there is enough evidence to support the claim that the average annual income was less than $50,000. Confidence Interval - minitab One-Sample Z The assumed standard......

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...Descriptive Statistics Project A Baron J Hamilton Jr. D00743033 Keller Graduate School of Management Math 533-65352 Applied Managerial Statistics Introduction Data was collected from a sample of credit customers in the department chain store of AJ Davis using statistical analysis. The analysis below consists of 4 quantitative methods which are income, size, years and credit balance and one qualitative method, location. Descriptive statistics can explain some of the relationships of the data collected. LOCATION | INCOME($1000) | SIZE | YEARS | CREDIT BALANCE($) | Urban | 54 | 3 | 12 | 4016 | Rural | 30 | 2 | 12 | 3159 | Suburban | 32 | 4 | 17 | 5100 | Suburban | 50 | 5 | 14 | 4742 | Rural | 31 | 2 | 4 | 1864 | Urban | 55 | 2 | 9 | 4070 | Rural | 37 | 1 | 20 | 2731 | Urban | 40 | 2 | 7 | 3348 | Suburban | 66 | 4 | 10 | 4764 | Urban | 51 | 3 | 16 | 4110 | Urban | 25 | 3 | 11 | 4208 | Urban | 48 | 4 | 16 | 4219 | Rural | 27 | 1 | 19 | 2477 | Rural | 33 | 2 | 12 | 2514 | Urban | 65 | 3 | 12 | 4214 | Suburban | 63 | 4 | 13 | 4965 | Urban | 42 | 6 | 15 | 4412 | Urban | 21 | 2 | 18 | 2448 | Rural | 44 | 1 | 7 | 2995 | Urban | 37 | 5 | 5 | 4171 | Suburban | 62 | 6 | 13 | 5678 | Urban | 21 | 3 | 16 | 3623 | Suburban | 55 | 7 | 15 | 5301 | Rural | 42 | 2 | 19 | 3020 | Urban | 41 | 7 | 18 | 4828 | Suburban | 54 | 6 | 14 | 5573 | Rural | 30 | 1 | 14 | 2583 | Rural | 48 | 2 | 8 | 3866 | Urban | 34 | 5 | 5 | 3586 | ......

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...DeVry MATH 533 (Week 2 - 7 Discussions) 2014 IF You Want To Purchase A+ Work Then Click The Link Below , Instant Download http://acehomework.com/DeVry-MATH-533-Week-2-7-Discussions-2014-430990033333.htm?categoryId=-1 If You Face Any Problem E- Mail Us At JOHNMATE1122@Gmail.Com Week 2 Case: Let's Make a Deal (graded) A number of years ago, there was a popular television game show called Let's Make a Deal. The host, Monty Hall, would randomly select contestants from the audience and, as the title suggests, he would make deals for prizes. Contestants would be given relatively modest prizes and then would be offered the opportunity to risk that prize to win better ones. Suppose you are a contestant on this show. Monty has just given you a free trip worth $500 to a locale that is of little interest to you. He now offers you a trade: Give up the trip in exchange for a gamble. On the stage are three curtains, A, B, and C. Behind one of them is a brand-new car worth $45,000. Behind the other two curtains, the stage is empty. You decide to gamble and give up the trip. (The trip is no longer an option for you.) You must now select one of the curtains. Suppose you select Curtain A. In an attempt to make things more interesting, Monty then exposes an empty stage by opening Curtain C (he knows that there is nothing behind Curtain C). He then asks you if you want to keep Curtain A, or switch to Curtain B. What would you do? Hint: Questions to consider are: What is......

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...MATH 533 All Course Projects - December 2014 IF You Want To Purchase A+ Work Then Click The Link Below , Instant Download http://acehomework.com/MATH-533-All-Course-Projects-December-2014-5459908.htm?categoryId=-1 If You Face Any Problem E- Mail Us At JOHNMATE1122@Gmail.Com Course Project: AJ DAVIS DEPARTMENT STORES Introduction Your Instructor will provide you with a Case description and data set in Doc Sharing. PROJECT PART A: Exploratory Data Analysis • Open the files for the Course Project and the data set in Doc Sharing. • For each of the five variables, process, organize, present and summarize the data. Analyze each variable by itself using graphical and numerical techniques of summarization. Use MINITAB as much as possible, explaining what the printout tells you. You may wish to use some of the following graphs: stem-leaf diagram, frequency/relative frequency table, histogram, boxplot, dotplot, pie chart, bar graph. Caution: not all of these are appropriate for each of these variables, nor are they all necessary. More is not necessarily better. In addition be sure to find the appropriate measures of central tendency, the measures of dispersion, and the shapes of the distributions (for the quantitative variables) for the above data. Where appropriate, use the five number summary (the Min, Q1, Median, Q3, Max). Once again, use MINITAB as appropriate, and explain what the results mean. • Analyze the connections or relationships between the......

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...DeVry MATH 533 (Week 2 - 7 Discussions) 2014 IF You Want To Purchase A+ Work Then Click The Link Below , Instant Download http://acehomework.com/DeVry-MATH-533-Week-2-7-Discussions-2014-430990033333.htm?categoryId=-1 If You Face Any Problem E- Mail Us At JOHNMATE1122@Gmail.Com Week 2 Case: Let's Make a Deal (graded) A number of years ago, there was a popular television game show called Let's Make a Deal. The host, Monty Hall, would randomly select contestants from the audience and, as the title suggests, he would make deals for prizes. Contestants would be given relatively modest prizes and then would be offered the opportunity to risk that prize to win better ones. Suppose you are a contestant on this show. Monty has just given you a free trip worth $500 to a locale that is of little interest to you. He now offers you a trade: Give up the trip in exchange for a gamble. On the stage are three curtains, A, B, and C. Behind one of them is a brand-new car worth $45,000. Behind the other two curtains, the stage is empty. You decide to gamble and give up the trip. (The trip is no longer an option for you.) You must now select one of the curtains. Suppose you select Curtain A. In an attempt to make things more interesting, Monty then exposes an empty stage by opening Curtain C (he knows that there is nothing behind Curtain C). He then asks you if you want to keep Curtain A, or switch to Curtain B. What would you do? Hint: Questions to consider are: What is......

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...MATH 533 All Course Projects - December 2014 IF You Want To Purchase A+ Work Then Click The Link Below , Instant Download http://acehomework.com/MATH-533-All-Course-Projects-December-2014-5459908.htm?categoryId=-1 If You Face Any Problem E- Mail Us At JOHNMATE1122@Gmail.Com Course Project: AJ DAVIS DEPARTMENT STORES Introduction Your Instructor will provide you with a Case description and data set in Doc Sharing. PROJECT PART A: Exploratory Data Analysis • Open the files for the Course Project and the data set in Doc Sharing. • For each of the five variables, process, organize, present and summarize the data. Analyze each variable by itself using graphical and numerical techniques of summarization. Use MINITAB as much as possible, explaining what the printout tells you. You may wish to use some of the following graphs: stem-leaf diagram, frequency/relative frequency table, histogram, boxplot, dotplot, pie chart, bar graph. Caution: not all of these are appropriate for each of these variables, nor are they all necessary. More is not necessarily better. In addition be sure to find the appropriate measures of central tendency, the measures of dispersion, and the shapes of the distributions (for the quantitative variables) for the above data. Where appropriate, use the five number summary (the Min, Q1, Median, Q3, Max). Once again, use MINITAB as appropriate, and explain what the results mean. • Analyze the connections or relationships between the......

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...RUNNING HEAD: LEEPER LINGERIE COMPANY Leeper Lingerie Company HRM 533-Online Do you think that Keith was justified in insisting that the job, not the person be evaluated? Explain you answer. The difference between ‘job evaluation’ and ‘employee evaluation’ is that one is general and wide-ranging while the other one is individualistic. For the most part a job evaluation “is a formal, systematic means to identify the relative worth of the jobs within an organization.” (Mathis and Jackson, p. 382) In the process of ‘job evaluation’, a company reinforces the job descriptions and its relevance to the company. This is where specific tasks, duties and requirements are implemented. Scholars such as Fisher, Schoenfeld and Shaw states that performance appraisal is the ‘performance assessment and management process in which an employee’s contribution to the organization during a specific period of time is assessed.”(p. 423) In a performance appraisal meeting, an employee’s contribution or the lack of, is evaluated with the employee and his immediate supervisor. The key element is for the employee to be present at the time of the meeting. In this case, the meeting was called to reevaluate several jobs within the company. Keith was reasonable to not involve a particular employee as part of the assessment. The purpose of the committee was to review certain jobs and not an individual employee. This was not a performance-appraisal meeting but rather to......

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...com/shop/math-533-complete-course/ MATH 533 COMPLETE COURSE MATH 533 COMPLETE COURSE, MATH 533 Week 1 Homework Problems (MyStatLab) MATH 533 Week 1 Discussion MATH 533 Week 1 Quiz MATH 533 Week 2 Homework Problems (MyStatLab) MATH 533 Week 2 Course Project: AJ Davis Department Stores (Part A) MATH 533 Week 2 Discussion MATH 533 Week 2 Quiz MATH 533 Week 3 Homework Problems (MyStatLab) MATH 533 Week 3 Discussion MATH 533 Week 3 Quiz MATH 533 Week 4 Homework Problems (MyStatLab) MATH 533 Week 4 Discussion MATH 533 Week 4 Quiz MATH 533 Week 5 Homework Problems (MyStatLab) MATH 533 Week 5 Discussion MATH 533 Week 5 Quiz Two Different Set MATH 533 Week 6 Homework Problems (MyStatLab) MATH 533 Week 6 Course Project: AJ Davis Department Stores (Part B) MATH 533 Week 6 Discussion MATH 533 Week 6 Quiz MATH 533 Week 7 Course Project: AJ Davis Department Stores (Part C) MATH 533 Week 7 Discussion MATH 533 Week 7 Quiz MATH 533 Week 8 Final Exam (4 Versions) Readings Practice for Final Exam MATH 533 Week 1 Homework Problems (MyStatLab) MATH 533 Week 1 Discussion MATH 533 Week 1 Quiz MATH 533 Week 2 Homework Problems (MyStatLab) MATH 533 Week 2 Course Project: AJ Davis Department Stores (Part A) MATH 533 Week 2 Discussion MATH 533 Week 2 Quiz MATH 533 Week 3 Homework Problems (MyStatLab) MATH 533 Week 3 Discussion MATH 533 Week 3 Quiz MATH 533 Week 4 Homework Problems (MyStatLab) MATH 533 Week 4 Discussion MATH 533 Week 4 Quiz MATH 533......

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...MATH 533: Applied Managerial Statistics Course Project –Part A I. Introduction. SALESCALL Inc. is a company with thousands of salespeople. The data provided; SALES (the number of sales made this week), CALLS (the number of sales calls made this week), TIME (the average time per call this week), YEARS (years of experience in the call center) and TYPE (the type of training, either group training, online training of no training). The data is used to determine the most productive sales person. With this information the company can tailor it’s training to achieve the greatest number of sales. II. Individual Variables. 1. Sales Descriptive Statistics: SALES Total Variable Count Mean StDev Variance Minimum Q1 Median Q3 SALES 100 42.340 4.171 17.398 32.000 39.250 42.000 45.000 N for Variable Maximum Range IQR Mode Mode SALES 52.000 20.000 5.750 44 12 Data for sales made in a week for SALESCALL Inc. shows that an average of 42 sales are made. The company can expect to have as few as 32 and up to 52 sales in a week. From the data gathered the company can expect to see the average sales made. Looking at the Histogram above shows sale have a bell shaped curve. 2. Calls Descriptive Statistics: CALLS Total Variable Count Mean StDev Variance Minimum Q1 Median Q3 CALLS 100 162.09 18.01 324.53 ...

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...MATH/GM 533 Final Exam 1. (TCO D) PuttingPeople2Work has a growing business placing out-of-work MBAs. They claim they can place a client in a job in their field in less than 36 weeks. You are given the following data from a sample. Sample size: 100 Population standard deviation: 5 Sample mean: 34.2 Formulate a hypothesis test to evaluate the claim. (Points : 10) Ho: µ = 36; Ha: µ ≠ 36 Ho: µ ≥ 36; Ha: µ < 36 Ho: µ ≤ 34.2; Ha: µ > 34.2 Ho: µ > 36; Ha: µ ≤ 36 Ans. b. H0 must always have equal sign, < 36 weeks 2. (TCO B) The Republican party is interested in studying the number of republicans that might vote in a particular congressional district. Assume that the number of voters is binomially distributed by party affiliation (either republican or not republican). If 10 people show up at the polls, determine the following: Binomial distribution 10 | n | 0.5 | p | X | P(X) | cumulative probability | 0 | 0.00098 | 0.00098 | 1 | 0.00977 | 0.01074 | 2 | 0.04395 | 0.05469 | 3 | 0.11719 | 0.17188 | 4 | 0.20508 | 0.37695 | 5 | 0.24609 | 0.62305 | 6 | 0.20508 | 0.82813 | 7 | 0.11719 | 0.94531 | 8 | 0.04395 | 0.98926 | 9 | 0.00977 | 0.99902 | 10 | 0.00098 | 1.00000 | What is the probability that no more than four will be republicans? (Points : 10) 38% 12% 21% 62% Ans. a look at x=4, cumulative probability 3. (TCO A) Company ABC had sales per month as......

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...MATH 533 COMPLETE COURSE A+ Graded Tutorial Available At: http://hwsoloutions.com/?product=math-533-complete-course Visit Our website: http://hwsoloutions.com/ Product Description MATH 533 COMPLETE COURSE, MATH 533 Week 1 Homework Problems (MyStatLab) MATH 533 Week 1 Discussion MATH 533 Week 1 Quiz MATH 533 Week 2 Homework Problems (MyStatLab) MATH 533 Week 2 Course Project: AJ Davis Department Stores (Part A) MATH 533 Week 2 Discussion MATH 533 Week 2 Quiz MATH 533 Week 3 Homework Problems (MyStatLab) MATH 533 Week 3 Discussion MATH 533 Week 3 Quiz MATH 533 Week 4 Homework Problems (MyStatLab) MATH 533 Week 4 Discussion MATH 533 Week 4 Quiz MATH 533 Week 5 Homework Problems (MyStatLab) MATH 533 Week 5 Discussion MATH 533 Week 5 Quiz Two Different Set MATH 533 Week 6 Homework Problems (MyStatLab) MATH 533 Week 6 Course Project: AJ Davis Department Stores (Part B) MATH 533 Week 6 Discussion MATH 533 Week 6 Quiz MATH 533 Week 7 Course Project: AJ Davis Department Stores (Part C) MATH 533 Week 7 Discussion MATH 533 Week 7 Quiz MATH 533 Week 8 Final Exam (4 Versions) Readings Practice for Final Exam MATH 533 Week 1 Homework Problems (MyStatLab) MATH 533 Week 1 Discussion MATH 533 Week 1 Quiz MATH 533 Week 2 Homework Problems (MyStatLab) MATH 533 Week 2 Course Project: AJ Davis Department Stores (Part A) MATH 533 Week 2 Discussion MATH 533 Week 2 Quiz MATH 533 Week 3 Homework Problems (MyStatLab) MATH 533 Week 3 Discussion MATH 533......

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...MATH 533 Final Exm Click Link Below To Buy: http://hwcampus.com/shop/math-533-final-exm/ Or Visit www.hwcampus.com 1. (TCO A)Consider the following sample data on the age of the 30 employees that were laid off recently from DVC Inc. 21 38 20 26 37 52 37 24 45 20 50 49 44 30 29 42 56 46 60 30 32 25 47 55 38 25 20 29 32 30 a. Compute the mean, median, mode, and standard deviation, Q1, Q3, Min, and Max for the above sample data on age of employees being laid off. b. In the context of this situation, interpret the Median, Q1, and Q3. (Points : 33) 2. (TCO B) Consider the following data on newly hired employees in relation to which part of the country they were born and their highest degree attained. HS BS MS PHD Total East 3 5 2 1 11 Midwest 7 9 2 0 18 South 5 8 6 2 21 West 1 7 8 6 22 Total 16 29 18 9 72 If you choose one person at random, then find the probability that the person a. has a PHD. b. is from the East and has a BS as the highest degree attained. c. has only a HS degree, given that person is from the West. (Points : 18) 3. (TCO B) Squib claims that its new pain reliever is effective in giving relief for headaches within 10 minutes for 95% of users. A random sample of 25 patients is selected. Assuming......

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...MATH 533 Final Exm Click Link Below To Buy: http://hwcampus.com/shop/math-533-final-exm/ Or Visit www.hwcampus.com 1. (TCO A)Consider the following sample data on the age of the 30 employees that were laid off recently from DVC Inc. 21 38 20 26 37 52 37 24 45 20 50 49 44 30 29 42 56 46 60 30 32 25 47 55 38 25 20 29 32 30 a. Compute the mean, median, mode, and standard deviation, Q1, Q3, Min, and Max for the above sample data on age of employees being laid off. b. In the context of this situation, interpret the Median, Q1, and Q3. (Points : 33) 2. (TCO B) Consider the following data on newly hired employees in relation to which part of the country they were born and their highest degree attained. HS BS MS PHD Total East 3 5 2 1 11 Midwest 7 9 2 0 18 South 5 8 6 2 21 West 1 7 8 6 22 Total 16 29 18 9 72 If you choose one person at random, then find the probability that the person a. has a PHD. b. is from the East and has a BS as the highest degree attained. c. has only a HS degree, given that person is from the West. (Points : 18) 3. (TCO B) Squib claims that its new pain reliever is effective in giving relief for headaches within 10 minutes for 95% of users. A random sample of 25 patients is selected. Assuming......

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...Assignment 2 USA Motors HRM 533 Total Rewards July 20, 2010 Will the incentive plan to reduce absenteeism succeed? Explain your opinion. The incentive plan shows the ability to succeed. Jack Parks is the benefits and services manager, whom did a review of the division’s absenteeism rates for controllable absences, which are absences believed to be of the employees choice. “He finds that the company could reduce this rate from the previous year’s figure of 11%” (USA Motors, 2010, p.9). Parks seems to have ensured that the incentive plan will meet the organization’s needs and hopefully keep the employees motivated. Ten years ago an incentive plan was negotiated between USA Motors and the national union, to pay employess for being absent. “The theory was that by giving workers one week of paid absence against which they could charge personal absences, the company would be encouraging employees to notify their supervisors then they would be out of work, so that arrangements could be made and production could be maintained” (USA Motors, 2010, p.9). The employees found a loop hole in the incentive plan, ”by not charging off any paid absences, they could receive a full week’s pay in June when the company paid off the balance of unused paid absences for the previous year” (USA Motors, 2010, p.9). Parks felt that a need for an improved incentive plan to reduce absentee should be in place. “The plan Parks had in mind entails a standard for the amount of......

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