contributing factors associated with job satisfaction or dissatisfaction of both male and female employees in the AIU by demographic characteristic (Cano, Miller). Gender Breakdown 40 Males 12 Females Mean 1.230769231 Median 1 Mode 1 Standard Deviation 0.425436 Sample Variance 0.180995 The quantitative methodology used in the study of employees of the American Intellectual Union was intrinsic
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10s and 1s digits, respectively. The stem-and-leaf diagram shows that the distribution is ___________. symmetric positively skewed negatively skewed None of the answers Which of the following is most influenced by outliers? Median Mode 75th percentile Mean serial correlation is typically observed in: sparse data outliers cross-sectional data time series data n the sample regression equation what is ? The value of y when x = 0 The predicted value of y, given a specific x value
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Question: Due to financial hardship, the Nyke shoe company feels they only need to make one size of shoes, regardless of gender or height. They have collected data on gender, shoe size, and height and have asked you to tell them if they can change their business model to include only one size of shoes – regardless of height or gender of the wearer. In no more 5-10 pages (including figures), explain your recommendations, using statistical evidence to support your findings. The data found are below:
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| Qualification | Unit Code / Unit number and title | Pearson BTEC Level 5 HND Diploma in Business (Management) | D/601/0578Unit 6: Business Decision Making | Student name / BTEC Registration Number | Assessor name | Nguyễn Thanh NgọcLê Phương MaiNguyễn Thị Hoài Thu | F08-055F08-047F08-067 | MBA Le Thu Hanh | Date issued | Hand in deadline | Submitted on | | | | | | Assignment title | Collection and Analysis of Data for Decision Making (1 of 2) | In this assessment you will
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sales each employee closes during the week. The inference is that the number of sales that are closed during the week are larger for those who have completed some type of training. Analysis of Individual Variables 1. Sales Mean – 42.467 Median – 42 Mode – 43,44 Range – 20 Standard Deviation – 4.259 Variance – 18.139 Once the data is organized it is clear to see the number of sales each week falls between 32 sales/wk to 52 sales/wk. The average weekly sales come
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positive correlation of 0.95 between Weekly Income (WI) and Weekly Expenditure on Food (WEF). This means that a change in Income shall bring about a similar change in the expenditure on food as well. The way we see the data points (80% of the sample) bunched and scattered between the range of WI of 200-400 and just focus on this sub-data set; we would have a very low correlation of 0.32. This would mean that in this range the relation between the Income and Expenditure on Food is really low and there
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Interval data: Real numbers, i.e. heights, weights, prices Box plot -Values are real numbers Outliers: -All calculations are valid less than 25th Percentile-Data may be treated as ordinal or nominal 1.5*interquatile Ordinal Data: order poor = 1, fair = 2, good = 3, very good = 4 or -Values must represent the ranked order of the data. Larger than 75th -Calculations based on an ordering process are valid. Percentile+1.5*interquatile -Data may be treated as nominal but not as interval. Nominal Data:
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1. Which of the following correctly ranks from smallest to largest the measures of central tendency of the data displayed in the histogram below? * 1. Mode < mean < median. * 2. Median < mode < mean. * 3. Mode < median < mean. 4. The answer cannot be deter 2. The scatter diagram below displays the relationship between age and net worth (in US$ billions) for the world's 20 wealthiest people as reported by Forbes Magazine in 2001. If 45-year old
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London Churchill College | BTEC Higher National Diploma (HND) in Business | Business Decision Makingby Edina TosokiTutor: Rahaman Hasan | | LETTER OF TRANSMITTAL 29th of November 2013 Dear Mr. Rahaman Hasan, Enclosed is a formal report for your attention on the subject of Kellogg’s case analysis as per requested in September 2013 to analyze the market response to Kellogg’s products in the UK compared to the historical data of response in India focusing on the failed launch
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half width at half maximum and is the statistical median. In the illustration about, . The Cauchy distribution is implemented in the Wolfram Language as CauchyDistribution[m, Gamma/2]. The characteristic function is | | | (12) | | | | (13) | The moments of the distribution are undefined since the integrals | (14) | diverge for . If and are variates with a normal distribution, then has a Cauchy distribution with statistical median and full width | (15) | The sum of variates
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