Independent Republican Democrat Republican Republican Independent Republican

Independent republican democrat republican republican

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Independent Republican Democrat Republican Republican Independent Republican Republican Republican Republican Republican Independent Independent Republican Republican Democrat Republican Democrat Democrat 1) Lines - lines presented horizontally and vertically can have different effect on users. For example two lines with same length can look different if positioned at 90 degree. 2) Lines in segment or layer can also look different if placed between inward and outward lines. 3) The poggendorff is also another illusion that can misinterpret the data as one segment of a transverse line can be interrupted by intervening structure. 4) Delboeuf is illusions regarding circles that appear to be different when placed inside or outside another circle. 5) Ponzo is an illusion when two equal lines appear different when placed over parallel lines that appear to unite. 1) While displaying the graphed data, the data to link ratio should be maximized. Also should eliminate redundancy in order to affectively display the data. 2) The numbers should be clearly visible and positioned near their represented area. 3) There should not be anything on graph that is not required. 4) The colors should be used very carefully as very bright and similar colors can make data confusing. 5) The graphs and pictures should be as per requirement of data that is being displayed. Democrat Independent Republican Total Result 0 10 20 30 40 50 60 70 80 90 26 18 36 80 Column H
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1 Compare and contrast varaiables and values. Days 8 70 40.00 64 2 Define Qualitative data. 99 9 55 10 Days Count - Days 64 36-42 3 3 Define Quantitative data. 89 43-49 1 87 50-56 7 65 57-63 4 4 What is variability in a distribution of data? 62 64-70 10 Variability in distribution of data is referred to as the pattern in which data spreads out in a distribution. 38 71-77 2 67 78-84 5 5 70 85-91 4 Median 60 92-99 4 69 Total Result 40 6 Why is the choice you made the better choice. 78 39 11 75 68.28 7 What is bias in a statistical measure? 56 The standard deviation as it underestimates population. 71 12 51 67.50 99 68 13 95 279.49 86 57 14 53 16.72 =STDEV.S(D:D) 47 or 50 16.72 =SQRT(F24) 55 81 80 98 51 36 63 66 85 79 83 70 How many bonds are in the list? A variable is referred to as a characteristic, number, or quantity that is not fixed or constant in nature. An example of variable would be age as it keeps on changing as time goes. The value is referred to as the measurement of interest and is definite in nature. For example the age of a person at a given point of time. Create a frequency distibution of the day values that are grouped. Qualitative data is referred to a data that define or approximate and does not measure the attributes, characteristics, properties, etc. of an event or an object. For example the temperature outside in Dallas today was high. Quantitative data is referred to as information or details about quantities. This information should be definite in nature ie it should have a number or symbol. A good example would be shirt sizes numbered as 15, 16, 16.5, 17 In the following distribution of home prices, which is a better measure of central tendency: $210,000, $215,000, $215,000, $220,000, $645,000? Select answer from the Dropdown choice.
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