these statistics to analyze the comparisons of answers from employees and departments. Utilizing the central tendency which are three measures: mean, mode, and median allows us to give senior management raw data to make better decisions with. Measures of Variability findings enables us to differentiate results from BIMS surveys which differs from their mean. Our overall recommendation and analysis will be given to senior management within this paper off the current raw data. Data Collected The
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equal to the number of leafs, count the actual units * Mean, sum/total * Median = middle number when arranged in order * Mode = appears the most times * If data is skewed to the right then the median is less than the mean, symmetric means they are equal, skewed to the left means the mean is less than the median * Range = largest minus smallest * Sample variance, s squared, 1st calculate sample mean, then subtract the mean from each individual number and square that number, add them
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Data Analysis Problem Three running backs each rushed the ball 19 times in their most recent games. Using the Running Back Data Set (Microsoft Excel), and the three data sets it contains, calculate mean, median, mode, variance, and standard deviation for each running back. Then, write a short paragraph describing the results. Be sure to discuss any unique issues related to data such as outliers, large variance, and so forth. What happens to each running back's results when you eliminate their
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details of all the earthquakes in New Zealand in September 2013. a) Create a Histogram for the Earthquake data. (Hint : A group width of 0.5 would work well) (10 marks) b) What shape is the histogram? (1 mark) c) Calculate the Mean, Range and Mode for the Earthquake data. (3 marks) d) Identify 1 way in which your histogram could be improved. (2 marks) e) Using the data and your answers above (2a, 2b, 2c) state 4 distinct features of New Zealand’s earthquakes in September
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7 8 8 9 9 9 10 15 19 20 21 2. In the array provided, what is the mode? A. 7 B. 9 C. 10 D. 15 E. Both A and B 3. In the array provided, what is the median? A. 7 B. 9 C. 10 D. 15 E. Both A and B 4. In the array provided, what is the mean? A. 7 B. 9 C. 10 D. 15 E. Both A and B 5. The difference between the smallest and the largest values in a distribution is the _____. A. mean B. median C. mode D. range E. deviation 6. Which of the following is a bar chart arranged
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experimental and control groups similar in their type of feeding? Provide a rationale for your answer. 6. What was the marital status mode for the subjects in the experimental and control groups? Provide both the frequency and percentage for the marital status mode for both groups. 7. Could a median be determined for the education data? If so, what would the median be for education for the experimental and the control groups? Provide a rationale for your answer. 8. Can the findings from this
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descriptive statistics for the Motion Picture Industry Case study. The data set provided was used to calculate the median, mean and mode for the gross opening weekend. On the first graph you can see that for the opening gross the graph is skewed to the right so the median is the best central tendency measure rather than using the mean. The median opening gross was 0.39, which means 50% of the opening gross values were less than 0.39 and 50% were above 0.39. The opening gross was 3.43, which indicates
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ELDER ABUSE IN NURSING HOMES: THE IMPACT OF DEMENTIA/SPECIAL CARE UNITS BY CHRISTINA KAY FALK THESIS Submitted in partial fulfillment of the requirements for the degree of Master of Science in Community Health in the Graduate College of the University of Illinois at Urbana-Champaign, 2013 Urbana, Illinois Adviser: Stephen J. Notaro, Ph.D. ii ELDER ABUSE IN NURSING HOMES: THE IMPACT OF DEMENTIA/SPECIAL CARE UNITS By: Christina K. Falk Elder abuse is a topic that impacts everyone in America
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TIME | SPEED (km/h) | | VEHICLE CLASS | | 1 (motor) | 2 (car) | 3 (van) | 4 (truck) | 5.30-5.45 | 76 | 120 | 128 | 134 | 97 | 126 | 77 | 144 | 84 | 67 | 54 | 52 | | 83 | 151 | 132 | 66 | 156 | 140 | 130 | 89 | 98 | 34 | 39 | 57 | | 99 | 80 | 110 | 158 | 140 | 137 | 130 | 80 | 91 | 34 | 61 | 53 | | 160 | 106 | 96 | 140 | 140 | 126 | 48 | 90 | 60 | 39 | 35 | 43 | | 136 | 127 | 78 | 153 | 105 | 140 | 80 | 113 | 63 | 45 | 59 | 32 | 5.45-6.00 | 103 | 131 | 138 | 140 | 84 | 126 |
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Basics of Statistics Jarkko Isotalo 30 20 10 Std. Dev = 486.32 Mean = 3553.8 N = 120.00 0 2400.0 2800.0 2600.0 3200.0 3000.0 3600.0 3400.0 4000.0 3800.0 4400.0 4200.0 4800.0 4600.0 5000.0 Birthweights of children during years 1965-69 Time to Accelerate from 0 to 60 mph (sec) 30 20 10 0 0 Horsepower 100 200 300 1 Preface These lecture notes have been used at Basics of Statistics course held in University
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