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Descriptive.docx Descriptive Statistics Quant Design and Analysis Descriptive Statisti

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Descriptive.docx Descriptive Statistics Quant Design and Analysis Descriptive Statistics Capella University ResubmissionofHistogramx2 In Figure 1, the number of females on the y-axis, with the number of males on the x-axis to illustrate. A skew describes the shape of the data, where most values occur close to the mean. (George, 2016, p. 114). A histogram in the male distributions section of the data displays a negative skew and a negative kurtosis. The one peak on the histogram distribution curve implies that the data is being distributed uniformly over the value range. It can be seen in the graph that males have lower scores than females. Examining the data in the graphs, it is important to search for deviations and identify outliers. An outlier will occur in either the female or the male histogram. According to previous research, it has been found that there are disadvantages and advantages to visually reading histograms. Some manipulations are used to make it seem as though the truth is different images. A deeper analysis of the data could result in the information being incorrect. A benefit of the histogram is that they enable the data to display variance in different patterns to be visible. Section 2 Descriptive Statistics id gender ethnicity gpa quiz3 total Valid N (listwise) In Figure 2, This can only be done when aggregated and analyzed at their own levels, but it gives a standard deviation, skewness, and kurtosis of the information provided are neutral, relative, an. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . .. .. . . . . . . . . . . . . . . . . . .. . . . .

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