Males | Females |
620 | 660 |
570 | 590 |
540 | 540 |
580 | 560 |
590 | 610 |
580 | 590 |
480 | 610 |
620 | 650 |
570 | 600 |
610 | 620 |
590 | 630 |
570 | 640 |
610 | 590 |
590 | 640 |
570 | 580 |
550 | 560 |
530 | 570 |
560 | 560 |
620 | 600 |
520 | 600 |
560 | 590 |
620 | 590 |
580 | 590 |
610 | 630 |
530 | 560 |
480 | 600 |
590 | 560 |
620 | 560 |
590 | 560 |
580 |
560 |
1. Summarize the data visually. This will require referencing chapter 2 and determining the best way to visually describe the writing SAT scores. You may analyze the data by gender, or you can group scores together for your visual analysis.
2. Summarize the data numerically. For both male and female writing SAT scores, you should calculate appropriate measures of central tendency as well as appropriate measures of dispersion. Make sure to discuss what these numbers mean and how they describe the data. Hint: reference Chapter 3
3. Summarize the data numerically. For both male and female writing SAT scores, you should calculate appropriate measures of central tendency as well as appropriate measures of dispersion. Make sure to discuss what these numbers mean and how they describe the data. Hint: reference Chapter 3
( INCLUDE Excel screenshots)
The measures of central tendencys are, Mean, Mode, Median.
Mean(Males) = 574.33 & Mean(Females) = 593.33
Mode(Males) = 620 & Mode(Females) = 560
Median(Males) = 580 & Median(Females) = 590
These measures provide a single value that discribes the way in which group of data cluster around a central value.
The Measures of dispersions are, Range, Interquartile Range, Standard Deviation.
Range (Males) = 140 & Range (Females) = 120
Interquartile Range (Males) = 45 & Interquartile Range (Females) = 50
Range (Males) = 38.30 & Range (Females) = 31.44
Measures of dispersions are used to determine spread of a data and variation of the data around central value.
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