Sum of Variable Variance CoefVar Sum Squares Minimum Q1 Median Q3 C1 3.024 50.85 171.000 733.000 1.000 2.000 3.000 5.000 N for Variable Maximum Range IQR Mode Mode Skewness Kurtosis MSSD C1 7.000 6.000 3.000 2 15 0.53 -0.72 3.214 FREQUENCY DISTRIBUTION: SIZE | FREQUENCY | 1 | 5 | 2 | 15 | 3 | 8 | 4 | 9 | 5 | 5 | 6 | 5 | 7 | 3 |
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7644 | 8≤x<10 | 9 | 30 | 100 | 270 | 2.14 | 64.2 | 4.5796 | 137.388 | Total | | 100 | | 686 | 13.86 | 139.32 | 57.298 | 314.04 | The results are calculated manually 1. Arithmetic mean: = = = 6.86 (Manual computation) 2. Mode : The mode belongs group from 6x<8 because the group is values which occur most frequently. Applying the formula = 7.21 3. Median : The median is at the: = = 50.5. So that the value is between 50th and 51st item Applying the formula:
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MAP4C Class #: _____ Date: ______________ Mean, Median, and Mode for Grouped Data Part A – Frequency Tables The following table shows the annual salaries earned by employees of a small company: Annual salary ($) 35 500 42 750 51 000 99 000 150 000 Totals Frequency 3 5 5 1 1 15 106 500 213 750 255 000 99 000 150 000 824 250 a) What is the mean salary? To find the mean of data in a frequency table: for each row… - multiply each value by its frequency - add
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QUANTITATIVE ANALYSIS: DESCRIPTIVE STATISTICS Introduction Suppose that we have carried out a survey on the effect of carrying out a management audit with three groups of nine participant institutions each i.e. small medium and large. Each group was given the same survey questions in questionnaire format and the answers from the scores were tagged between 0 and 20. What is to be done with the raw scores? There are two key types of measures that can be taken whenever we have a set of scores from
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Stress James Farrar From the moment of birth to the end of life one way or another we all have to deal with stress. Each of us cope with stress in our own way because there are some many different types of stress from self- imposed to environmental, there seems to be no end to it. What determines the extant of the damage done by the effects of whatever stress that is imposed is the ability to cope with, process and or deal
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MODEL LINEAR QUADRATIC RECIPROCAL LOG-LOG LOG-LINEAR LINEAR-LOG mean of educ median of educ mean of wage 13.81 13.00 20.63 b1 -7.13 6.06 b2 2.01 0.07 estimated wage when educ = 13.81 20.63 19.42 21.11 17.98 17.00 21.09 estimated wage when educ = 13 34.33 35.85 24.15 26.75 31.39 29.64 30.32 -127.18 0.29 1.59 -34.86 0.99 0.09 21.31 MODEL b1 b2 Estimate of Marginal Effect Estimate of Elasticity when educ = mean (13.81) 2.01 1.93 0.67 1.29 1.53 1.62 1.35 1.38 0.44 0.99 1.24
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party. The key features of the number of people in the booking party can be seen in Table 1, below. Table 1: Key features of number of people Mean | 3.51 | Standard Deviation | 1.31 | Mode | 4 | Median | 4 | Max | 6 | Min | 2 | As seen in the table the mean number of people is 3.51 and the mode and median are 4, this reveals that CCResort are attracting small families. The minimum and maxiumum of 2 and 6 respectively also conveys how they are attracting a very small range of parties
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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 to 42.467 with a
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low morale at BIMS. The interval level of measurement was used to display the employee’s length of employment and a numeric code was used to describe the nominal, ordinal and interval data. Descriptive statistics was used to show the mean, median, mode and central tendency of the data. An analysis of each survey question was broken down, and the interpretation displayed on tables, charts and graphs. These graphs give an overall visual description of the answers to each question. After all the data
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Barbara Tucker who oversees Ballard Integrated Managed Services, Inc for the Douglas Medical Center location decided to conduct a survey in regards to the research question asking, why the turnover rate jumped from averaging 55-60% to 64%. A survey was given to each employee of BIMS that support the Douglas Medical Center and of the 5,300 employees only 78 participated in the survey leaving a very low response rate or 17.3%. This immediately tells the observers that the morale of the employees
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