7/19/2015 7/19/2015 Group EH Section E Group EH Section E Statistics for Business Decisions Assignment 2 Statistics for Business Decisions Assignment 2 Retail Trade Data Customer | Type of Customer | Items | Net Sales | Method of Payment | Gender | Marital Status | Age | 1 | Regular | 1 | 39.50 | Discover | Male | Married | 32 | 2 | Promotional | 1 | 102.40 | Proprietary Card | Female | Married | 36 | 3 | Regular | 1 | 22.50 | Proprietary Card | Female | Married | 32 |
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the distribution of the accounts among the four branches. For the mean and the median of the account balances for the said branches, the Makati branch has a mean of 128, 137.50 and a median of 139,700. On the other hand, Manila branch has a mean and a median of 187964.71 and 195800 respectively. It is discovered that the Quezon City branch has a mean of 135935.71 and a median of 150450, while the Pasig City branch has a mean and median of 149,986.67 and 148,700. For the standard deviation of
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if purchasing homes in a rural area is cheaper than purchasing homes from the inner city. 15 miles from the center of the city is inner city and anything passed 15 miles is rural area. The mean house pricing in the urban area is $232,736 out of a sample size of 59 with a standard deviation of $48,651. The mean house pricing in the rural area is $206,183 out of a sample size of 46 with a standard deviation of $40,896. At the 0.05 significance level, the company assumes that urban area is higher than
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different groups representing the net sales of the Pelican Store. They show the mean, median, mode, standard deviation, variance, skewness, kurtosis, range and the 25th, 50th and 75th percentile. All of these statistical outputs each embody a particular meaning. The first table that was constructed represented the frequencies of the net sales of the pelican store data and is simply a basic overview of sorts of the data. The mean here indicates that on average Pelican Stores customers spent over $77.
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Analyzing and Interpreting Data Ballard Integrated Managed Services (BIMS) conducted an internal survey for 440 employees, excluding top management, asking 10 questions on morale and four questions on demographics. BIMS upper management noticed a change in staff morale and an increase in the staff turnover rate, which initiated the survey. Barbara Tucker, General Manager, wants to discover what is making employees want to leave and has enlisted the help of Debbie Horner. Debbie Horner, human
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MAT 300 Statistics December 14, 2013 Bottling Company Case Study Calculate the mean, median, and standard deviation for ounces in the bottles. To determine the mean, which is the statistical average of all numbers involved, we will add the number of ounces together and divide by the number of bottles, in this case 30. For the mean we get 446.1 / 30, for a mean of 14.9. The median, however, is the ‘middle’ number of the bottles ounces. Since we have an even number, it will be
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Final Exam PSY 325: Statistics for the Behavioral and Social Sciences Download 100% accurate A++ and most economical answer from here http://www.homeworkmarket.com/content/need-urgent-5173933-2 http://www.homeworkmarket.com/content/need-urgent-5173933-2 Essay 1 A group of researchers conducted an experiment to determine which vaccine is more effective for preventing getting the flu. They tested two different types of vaccines: a shot and a nasal spray. To test the effectiveness, 1000 participants
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School of Business Report on “The Weekly Income, Weekly Expenditure on Food and Family Size of a sample household” Submitted to: Ahmad Idrees Tutor on FIN5SBF Submitted by: Bui Thi Bich Hien 17809616 Word count: 591 words Melbourne, August 25th, 2014 The Weekly Income, Weekly Expenditure on Food and Family Size of a sample household A sample of 45 households which was selected randomly from a population of 500 households, showed 5 variables including Weekly Income (WI), Weekly Expenditure
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Discuss/Demonstrate how you will use the data to analyze (must find each of the following for all 2 out of the 3 data sets: age, wait time and satisfaction). * What is the mean? (6 points) Client Age 775 / 20 = 38.75 Wait Time 1480 / 20 = 74.45 * What is the median? (6 points) Client Age (39+42)/2 = 40.5 Wait Time (16+16)/2 = 16 * What is the mode? (6 points) Client Age 18.34 Wait Time 197.88 * What is the standard deviation? (6 points) * Create a Bar Graph for each of the 2 out of the 3 questions
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following data. (See attached spread sheet). To calculate the mean, median and standard deviation for the ounces in the bottles I first imported the data in excel. After importing the data I use the Data analysis function where I choose descriptive statistics. Once choosing descriptive statistics I clicked ok and input my data range. Afterward I selected summary statistics and press OK. The forwarding data was provided; the mean equaling 14.87, median equaling 14.8, standard deviation equaling 0.550. To
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