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Words 334

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Click Link Below To Buy: http://hwcampus.com/shop/ma260-statistical-analysis-1/ 1. A recent article in the Myrtle Beach Sun Times reported that the mean labor cost to repair a color television is $90 with a standard deviation of $22. Monte’s TV Sales and Service completed repairs on two sets this morning. The labor cost for the first was $75 and it was $100 for the second. Compute z values for each and comment on your findings.

2. The mean of a normal distribution is 400 pounds. The standard deviation is 10 pounds. a. What is the area between 415 pounds and the mean? b. What is the area between the mean and 395 pounds?

c. What is the probability of selecting a value at random and discovering that it has a value of less than 395 pounds?

3. The monthly sales of mufflers in the Richmond, VA area follow the normal distribution with a mean of 1200 and a standard deviation of 225. The manufacturer would like to establish inventory levels such that there is only a 5% chance of running out of stock. Where should the manufacturer set the inventory levels?

4. Research on new juvenile delinquents revealed that 38% of them committed another crime.

a. What is the probability that of the last 100 new juvenile delinquents put on probation, 30 or more will commit another crime?

b. What is the probability that 40 or fewer of the delinquents will commit another crime?

c. What is the probability that between 30 and 40 of the delinquents will commit another crime?

5. An Air Force study indicates that the probability of a disaster such as the January 28, 1986 explosion of the space shuttle Challenger was 1 in 35. The Challenger flight was the 25th mission.

a. How many disasters would you expect in the first 25 flights?

b. Use the normal approximation to estimate the probability of at least one disaster in 25…...

...1. The null hypothesis a. Is a statement about the value of the population parameter. b. Will always contain the equal sign. c. Cannot include values less than 0. d. Both a and b are correct 2. The alternate hypothesis a. Is accepted if the null hypothesis is rejected b. Will always contain the equal sign c. Tells the value of the sample mean d. None of the above 3. The level of significance a. Is frequently .05 or .01 b. Can be any value between 0 and 1 c. Is the likelihood of rejecting the null hypothesis when it is true d. All of the above 4. A tType I error is a. The correct decision. b. A value determined from the test statistic. c. Rejecting the null hypothesis when it is true. d. Accepting the null hypothesis when it is false. 5. The critical value is a. Is cCalculated from sample information. b. Cannot be negative. c. Is tThe point that divides the acceptance region from the rejection region. d. Is aA value determined from the test statistic. 6. In a one-tailed test a. The rejection region is in only one of the tails. b. The rejection region is split between the tails. c. The p-value is always less than the significance level. d. The p-value is always more than the significance level. 7. To conduct a one sample test of means and use the z distribution as the test statistic a. We need to know...

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...market by gaining greater market shares by strategically introducing a new cold beverage product. In this case my line of questioning would be what popular drinks are being marketed successfully currently? Is the health-concious drinks and foods at the top of the food chain currently? Is there a more convenient consumption of cold beverages we can capitalize on such as a no-sugar-added fruit juice in a carton that is individual in size? How will the product be marketed? What regions are the cold beverages selling best? What surveys indicate who is buying the drinks by gender, age, time of year, etc. These are all questions that would be important to my report to identify a relationship between variables, probably single linear analysis would provide this information best with dependent and independent variables to be considered. The variables in my mind then become gender, will the drink be more appealing to women than men; portability, will the personalized approach to individual grab-and-go drinks be more appealing to consumers in that market? Research could easily show a company where most cold beverages are sold from regionally designed research for collecting this data. This variable would be region. The generational/age input or “baby boomer” effect could be part of the input or variables (Can Soft Drink Taxes Reduce Population Weight?). Placing the correct variables into the regression model should give me a fairly accurate answer with regard to my......

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...Final Project: Statistics II Descriptive analysis of statistical data INTRODUCTION There have always been crimes, from a treachery to an assassination. Happens in every country you can think of, and every government has to deal with it. It is really stressful to try to understand the nature of the crimes: why are they done and where could they happen next. Out of this preoccupation is that we found studies gathering data from communities; we focused on one specific crime: murders. In several communities, it is thought that the murder rate is somehow related to several factors. For instance, it is common to hear that the murder rate depends on poverty and unemployment. Starting from this hypothesis, the database found to make this analysis relates the number of murders per year per 1,000,000 inhabitants with the number of inhabitants, the percentage of families’ incomes below $5000, and the percentage unemployed. OBJECTIVE OF THE STUDY Trying to estimate how many murders will happen in a year in a specific place is difficult, but not impossible. This is why we are using the dataset found with the variables mentioned above, with which we’ll be able to find a formula. So, after this project, if we want to know how many murders will be on a city, for example Monterrey, we’d just plug in the data from that city (the inhabitants, the percentage of families income below $5000, and the percentage unemployed) and we’ll get a number, which would be the predicted number of......

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...Statistical Analysis in the Car Market Course Title: Applied Managerial Statistics Course Number: GM 533 Instructor Name: Susan Orr Student Name: Braulio E. Assis (713-382-8789) Home Address: 3833 Cummins St Apt.1328, Houston, TX 77027 Email Address: edmur_assis2005@hotmail.com Title of the Work: “Statistical Analysis in the Car Market” Date: Aug 19, 2011 Introduction Business managers and owners in the car industry need information on which they could anchor their decision to maximize the company’s profit as well as to ensure efficiency and productivity of the operations of their business. One of these factors is the price, which is one the key determinants of demand and supply. Further, it is essential for them to know the various factors that affect the price of cars and how each of those factors influence the price. This report presents the result of the statistical analysis done in order to identify the factors that significantly affect the price of cars. The asking price is in terms of dollars. The predictor variables considered are the following: whether the car is convertible or not (CONVERT), the age of cars in years (AGE), the odometer reading in miles (MILES), whether the car is automatic or not (TRANS), whether the car has air conditioner or not (AIR), the number of cylinder in engine (CYL), the color (maroon, silver, grey, red, blue, black or white), (8) the model of the car, whether it is a GT model or not, and (9) the ownership which is......

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...Statistical Analysis Process: Generally, all of the business courses that you take are focused on answering a single question - “What can managers do to improve the performance of their organizations?” It is not sufficient to theorize that a particular business strategy will lead to improved performance. You must test the theory. The statistical analysis process is a standardized methodology for testing theories. Generally, you identify a strategy that you believe may work, you ask experts what they think about the strategy, you analyze the data collected from the experts, you interpret the results from the analysis, and you draw conclusions about how well the strategy works based on the interpretations. All remaining assignments require that you follow this process. 1. State the research question. This is general question related to our area of concern. For example: “What can managers do to improve the performance of their organizations?” That’s probably stated a little too generally. More specific examples include: “Will implementation of a market orientation strategy improve my organization’s performance?” and “Will implementation of JIT and TQM improvement programs combine to improve my organization’s performance?” 2. State the hypotheses. Hypotheses are formulated from the research question. They must be stated in a form that is statistically testable. For example, “Market orientation is positively associated with operational......

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...Part 1: Summary statistics were computed using MS-excel: Summary Statistics: Full-Time Enrollment | | | | Mean | 165.16 | Standard Error | 28.1682256 | Median | 126 | Mode | 30 | Standard Deviation | 140.841128 | Sample Variance | 19836.22333 | Kurtosis | -0.751273971 | Skewness | 0.756612995 | Range | 451 | Minimum | 12 | Maximum | 463 | Sum | 4129 | Count | 25 | Insights: 1. Average full time enrollment is 165 students and median enrollment is 126 students. 2. It appears that the distribution of full-time enrollments is positively skewed where median appears to be a better measure of central tendency. 3. Maximum enrollment is 436 students and minimum enrollments are 12 enrollments. Standard deviation is 140 students. So the data appears to have large spread around the mean. Students per Faculty | | | | Mean | 8.48 | Standard Error | 1.011797081 | Median | 7 | Mode | 5 | Standard Deviation | 5.058985406 | Sample Variance | 25.59333333 | Kurtosis | -0.705506483 | Skewness | 0.762103551 | Range | 17 | Minimum | 2 | Maximum | 19 | Sum | 212 | Count | 25 | Insights: 1. There are on average 8.5 students per faculty member, where the maximum number of students per faculty is 19 and minimum number of students per faculty is 2. 2. Most schools have 5 students per faculty member since mode is 5. Local Tuition ($) | | | | Mean | 12374.92 | Standard Error | 1555.684696 | ......

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...Statistical Information Paper HCS 438 July 17, 2011 Monica Vargas Statistical Information Paper Statistics are used in many different ways in my workplace. The use of statistics is for the improvement of quality care and safety. Statistics are also used to measure employee compliance in regards to hand washing and proper use of policies and procedures. We also use charts and graphs to show infection rates, skin integrity, falls within the facility, budget concerns, and many more. These graphs help hospital personal improve care and safety to provide quality care to all patients. Graphs can also be used to measure patient and employee satisfaction. Descriptive statistics are used to describe the basic features of the data in a study and do not involve generalizing the data that has been collected. They provide simple summaries about the sample and the measures. Together with simple graphics analysis, they form the basis of virtually every quantitative analysis of data (Trochim, 2006). An example of descriptive statistics used at my workplace can be the number of patients that are admitted into the hospital on a Monday versus a patient admitted on any other day of the week. This information can also be broken down into more descriptive categories such as how many patient were men, women , children, what is their diagnosis, why were they admitted, and so on and so forth. We use inferential statistics to make judgments of the probability that an observed......

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...Regression, Second Edition Sage, written by John Fox and Sanford Weisberg. The data set contains salary statistics for all full time professors, therefore, the data set is a population. The conclusions reached in this data analysis will be for the entire population of full time professors at this one unnamed college. The data set contains 255 observations and five variables. The variables are discipline of the professor as theoretical or applied, years of service, years of service since obtaining a PHD, gender, and salary. There is a mix of categorical and quantitative variables to allow for in-depth statistical analysis. The objective of performing data analysis on a population of professor salaries at one college will be to learn any salary discrepancies between the males and females. The following statistical analyses will be performed: * Compare the proportion of males to females in the population * Compare the mean and median salaries for males and females * Compare the distribution of salaries for males and females * Determine if equitable salaries between males and females, and * Determine if there is an association between years of service and salary level for the population, males, and females. We will use basic statistical methods to perform the above analyses, which include frequency tables, histograms, boxplots, and scatterplots. We first calculated the proportion of males to females in the population and created a frequency table to......

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...MA260 Assignment 05 Statistical Analysis I Click Link Below To Buy: http://hwcampus.com/shop/ma260-assignment-05-statistical-analysis/ Assignment 05 MA260 Statistical Analysis I Directions: Be sure to save an electronic copy of your answer before submitting it to Ashworth College for grading. Unless otherwise stated, answer in complete sentences, and be sure to use correct English, spelling, and grammar. Refer to the "Assignment Format" page located on the Course Home page for specific format requirements. NOTE: Show your work in the problems. 1. Compute the mean and variance of the following discrete probability distribution. x P(x) 2 .50 8 .30 10 .20 2. The Computer Systems Department has eight faculty, six of whom are tenured. Dr. Vonder, the chair, wants to establish a committee of three department faculty members to review the curriculum. If she selects the committee at random: a. What is the probability all members of the committee are tenured? b. What is the probability that at least one member is not tenured? (Hint: For this question, use the complement rule). 3. New Process, Inc., a large mail-order supplier of women’s fashions, advertises same-day service on every order. Recently, the movement of orders has not gone as planned, and there were a large number of complaints. Bud Owens, director of customer service, has completely redone the method of order handling. The goal is to have fewer than five unfilled orders on hand at the end......

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...MA260 statistical analysis 1 Click Link Below To Buy: http://hwcampus.com/shop/ma260-statistical-analysis-1/ 1. A recent article in the Myrtle Beach Sun Times reported that the mean labor cost to repair a color television is $90 with a standard deviation of $22. Monte’s TV Sales and Service completed repairs on two sets this morning. The labor cost for the first was $75 and it was $100 for the second. Compute z values for each and comment on your findings. 2. The mean of a normal distribution is 400 pounds. The standard deviation is 10 pounds. a. What is the area between 415 pounds and the mean? b. What is the area between the mean and 395 pounds? c. What is the probability of selecting a value at random and discovering that it has a value of less than 395 pounds? 3. The monthly sales of mufflers in the Richmond, VA area follow the normal distribution with a mean of 1200 and a standard deviation of 225. The manufacturer would like to establish inventory levels such that there is only a 5% chance of running out of stock. Where should the manufacturer set the inventory levels? 4. Research on new juvenile delinquents revealed that 38% of them committed another crime. a. What is the probability that of the last 100 new juvenile delinquents put on probation, 30 or more will commit another crime? b. What is the probability that 40 or fewer of the delinquents will commit another crime? c. What is the probability that between 30 and 40 of the......

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...MA260 Assignment 05 Statistical Analysis I Click Link Below To Buy: http://hwcampus.com/shop/ma260-assignment-05-statistical-analysis/ Assignment 05 MA260 Statistical Analysis I Directions: Be sure to save an electronic copy of your answer before submitting it to Ashworth College for grading. Unless otherwise stated, answer in complete sentences, and be sure to use correct English, spelling, and grammar. Refer to the "Assignment Format" page located on the Course Home page for specific format requirements. NOTE: Show your work in the problems. 1. Compute the mean and variance of the following discrete probability distribution. x P(x) 2 .50 8 .30 10 .20 2. The Computer Systems Department has eight faculty, six of whom are tenured. Dr. Vonder, the chair, wants to establish a committee of three department faculty members to review the curriculum. If she selects the committee at random: a. What is the probability all members of the committee are tenured? b. What is the probability that at least one member is not tenured? (Hint: For this question, use the complement rule). 3. New Process, Inc., a large mail-order supplier of women’s fashions, advertises same-day service on every order. Recently, the movement of orders has not gone as planned, and there were a large number of complaints. Bud Owens, director of customer service, has completely redone the method of order handling. The goal is to have fewer than five unfilled orders on hand at the end......

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...References Agresti, Alan (1996).Introduction to categorical data analysis. NY: John Wiley and Sons. Ahmed, N. (1976); Development Agriculture of Bangladesh. Dhaka, Bangladesh Books of International Ltd. BANBEIS (1998); Bangladesh Education Statistics (At a glance), Bangladesh Bureau of Statistics. BBS, 2003: Report of the household expenditure survey 2000, Statistical Division, Ministry of Planning, Government of Bangladesh, Dhaka. BBS (2002); Statistical Year book of Bangladesh, 2001, Dhaka. Bunce, L. and R. Pomeroy. 2003. Socioeconomic Monitoring Guidelines for Coastal Managers in the Caribbean: SocMon Caribbean. GCRMN. Bunce, L., P. Townsley, R. Pomeroy, and R. Caribbean. GCRMN. Bunce, L., P. Townsley, R. Pomeroy, and R. Pollnac. 2000. Chandra KJ. Fish parasitological studies in Bangladesh: A Review. J Agric Rural Dev. 2006; 4: 9-18. Cochran, W.G. (1977); Sampling Techniques, 3rded. New Delhi: Wiley Eastern. Davis, James A. (1971). Elementary survey analysis. Des Raj (1971); Sampling Theory. Fox, J. 1984: Linear Statistical Models and Ravallion, M. and B. Sen 1996: When Method Matters: Monitoring Poverty in Bangladesh, Economic Development and Cultural Change, 44: 761-792 Gujarati, Damodar.N; Basic Econometrics. 4TH edition; Mcgraw-Hill. Gupta, S.C., Kapoor; Fundamental of Mathematical Statistics. New Delhi. Heyman, W. and R. Graham (eds.). 2000. The voice of the fishermen of Southern Belize, Toledo Institute for......

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...MA260 Assignment 05 Statistical Analysis I Click Link Below To Buy: http://hwcampus.com/shop/ma260-assignment-05-statistical-analysis/ Assignment 05 MA260 Statistical Analysis I Directions: Be sure to save an electronic copy of your answer before submitting it to Ashworth College for grading. Unless otherwise stated, answer in complete sentences, and be sure to use correct English, spelling, and grammar. Refer to the "Assignment Format" page located on the Course Home page for specific format requirements. NOTE: Show your work in the problems. 1. Compute the mean and variance of the following discrete probability distribution. x P(x) 2 .50 8 .30 10 .20 2. The Computer Systems Department has eight faculty, six of whom are tenured. Dr. Vonder, the chair, wants to establish a committee of three department faculty members to review the curriculum. If she selects the committee at random: a. What is the probability all members of the committee are tenured? b. What is the probability that at least one member is not tenured? (Hint: For this question, use the complement rule). 3. New Process, Inc., a large mail-order supplier of women’s fashions, advertises same-day service on every order. Recently, the movement of orders has not gone as planned, and there were a large number of complaints. Bud Owens, director of customer service, has completely redone the method of order handling. The goal is to have fewer than five unfilled orders on hand at the end......

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...MA260 statistical analysis 1 Click Link Below To Buy: http://hwcampus.com/shop/ma260-statistical-analysis-1/ 1. A recent article in the Myrtle Beach Sun Times reported that the mean labor cost to repair a color television is $90 with a standard deviation of $22. Monte’s TV Sales and Service completed repairs on two sets this morning. The labor cost for the first was $75 and it was $100 for the second. Compute z values for each and comment on your findings. 2. The mean of a normal distribution is 400 pounds. The standard deviation is 10 pounds. a. What is the area between 415 pounds and the mean? b. What is the area between the mean and 395 pounds? c. What is the probability of selecting a value at random and discovering that it has a value of less than 395 pounds? 3. The monthly sales of mufflers in the Richmond, VA area follow the normal distribution with a mean of 1200 and a standard deviation of 225. The manufacturer would like to establish inventory levels such that there is only a 5% chance of running out of stock. Where should the manufacturer set the inventory levels? 4. Research on new juvenile delinquents revealed that 38% of them committed another crime. a. What is the probability that of the last 100 new juvenile delinquents put on probation, 30 or more will commit another crime? b. What is the probability that 40 or fewer of the delinquents will commit another crime? c. What is the probability that between 30 and 40 of the......

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...Professor Vaccaro MBAMS 630 – STATISTICAL ANALYSIS FOR MANAGERS SUMMER SESSION - I , 5th EXAMINATION ( Chapter 13 ) – Part I NAME ___Due Thursday, July 14th, 2016 MULTIPLE CHOICE : ( select the most correct response ) 1. The Y-intercept ( bo ) represents the: a. estimated average Y when X = 0. b. change in estimated average Y per unit change in X. c. predicted value of Y. d. variation around the sample regression line. 2. The slope ( b1 ) represents: a. predicted value of Y when X = 0. b. the estimated average change in Y per unit change in X. c. the predicted value of Y. d. variation around the line of regression. 3. The least squares method minimizes which of the following? a. SSR b. SSE c. SST d. all of the above A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of its product. To do this, the firm randomly chooses six (6) small cities and offers the candy bar at different prices. Using candy bar sales as the dependent variable, the company will construct a simple linear regression on the data below: City Price ($) Sales River Falls 1.30 100 Hudson 1.60 90 ...

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