as cumulative frequency curve or Ogive. 3 K’S WHAT WE KNOW | WHAT WE DON’T KNOW | WHAT WE NEED TO KNOW | Basic GMI grade requirement subject | Definition ogive | the ratio of grade of 50 student GMI | How to calculate the mode‚ mean and median | How many student GMI obtained B+ | Benefit of histogram | Function of histogram | how to make histogram | The importance of ogive | PROBLEM STATEMENT 50 student of German-Malaysia Institute just had their Mathematics II examination and their
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that of Non Gulf view condominiums. The mean number of days to sell of Gulf view condominiums is less than that of Non Gulf view condominiums. The median List price of Gulf view condominiums is greater than that of Non Gulf view condominiums. The median sale price of Gulf view condominiums is greater than that of Non Gulf view condominiums. The median number of days to sell of Gulf view condominiums is less than that of Non Gulf view condominiums. The variation in the list price of Gulf view condominiums
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| | Mean | 79.800 | 54.460 | 58.480 | | Median | 82.000 | 55.500 | 58.500 | | Standard deviation | 8.288 | 14.747 | 15.999 | | Minimum | 63.000 | 25.000 | 16.000 | | Maximum | 95.000 | 90.000 | 92.000 | | Range | 32.000 | 65.000 | 76.000 | | Variance | 68.694 | 217.478 | 255.969 | | | | | | | | | | | Overall‚ the nurses show the highest level of satisfaction with their work (mean = 79.80 and median = 82). The data shows 40 of the 50 nurses rated
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Hassani Date of Submission : 30/04/2012 Word Count (Without contents‚ References and Title page): 2‚497 Contents 1.1 - Introduction – Page 3 2.1 – Data set‚ Annual GDP % Change Comparisons – Page 3 2.2- The mean – Page 3 2.3- The Median – Page 4 2.4- Histograms – Page 4 2.5- The Range – Page 5 2.6- Simple Linear Regression – Page 6 3.1- Time series analysis – Line Graph (Cyclical) – Page 8 4.1- Conclusion – Page 8 5.1- References – Page 9 1.1 Introduction
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and the Stork Stand. Procedures This experiment is patterned after the procedures used by Drowatzky and Zuccato (1967)‚ an experiment that is reported in the textbook. Each student will perform three trials on each of the four balance tests. The median score for each test will be used for the later analyses. Static Balance Tests: The Diver’s Stand has the person standing erect with both feet together‚ arms extended in front. When ready‚ he or she rises onto the balls of the feet‚ closes his
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4. To discuss what kinds of summaries are best for various kinds of measurements. Section 7.1 Turning Data into Information Four kinds of useful information about a set of data: center‚ variability‚ shape and outlier Types of center: mean‚ median and mode (and their definitions) Types of variability: range‚ standard deviation and IQR (and their definitions) Types of shape: symmetric‚ skew to the left‚ skew to the right‚ unimodal and bimodal (and their definitions) Definition of outlier
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199.9 201.1 199.7 200.2 200.5 200.2 199.7 200.9 200.2 199.5 200.6 200.3 199.8 Using the given Data we arrive at the following measures mentioned below: Summary measures for selected variables Coke Count 50.000 Mean 200.118 Median 200.150 Standard deviation 0.419 Minimum 199.200 Maximum 201.100 Range 1.900 First quartile 199.825 Third quartile 200.400 Interquartile range 0.575 Skewness 0.037 1st percentile 199.249 90th percentile 200.600 95th percentile
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One Part A Some questions in Part A require that you access data from Statistics for People Who (Think They) Hate Statistics. This data is available on the student website under the Student Test Resources link. 1. By hand‚ compute the mean‚ median‚ and mode for the following set of 40 reading scores: SUMMARY 31 32 43 42 24 34 25 44 23 43 24 36 25 41 23 28 14 21 24 17 25 23 44 21 13 26 23 32 12 26 14 42 14 31 52 12 23 42 32 34 2. Compute the means
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histogram of gas mileage. Comment on the distribution of the mileage. II. Descriptive Statistics 1. For each variable (speed and mileage) in the table above‚ find mean‚ median‚ and mode. Mean Speed = Median X = Mode X = Mean Mileage = Median Y = Mode Y = 2. Which of the three measures (mean‚ median‚ mode) is a better measure of central
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µlow ≠ µmedium ≠ µhigh Analysis 1. All Sales | Inside | | Outside | | | | | | | | Mean | 64925 | Mean | 59289 | Mean | 70562 | Standard Error | 989 | Standard Error | 1115 | Standard Error | 1276 | Median | 61490 | Median | 56407 | Median | 69000 | Mode | 53464 | Mode | 53464 | Mode | #N/A | Standard Deviation | 10839 | Standard Deviation | 8639 | Standard Deviation | 9884 | Sample Variance | 117476832 | Sample Variance | 74634297 | Sample Variance | 97692326
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