Descriptive StatisticsQuant Design and Analysis Descriptive, Lecture notes of Accounting

Descriptive StatisticsQuant Design and Analysis Descriptive Statistics Capella UniversityResubmissionofHistogramx2In 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 diffe

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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.
pf3

Partial preview of the text

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Descriptive Statistics

Quant Design and Analysis

Descriptive Statistics Capella

University

ResubmissionofHistogramx

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 quiz 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, and important metrics. The id is a quantitative variable that serves as an indicator

group's specific identity, whereas ethnicity is a categorical variable.

In total, a student points in the class can be calculated by taking the scores obtained

during that time span and then adding them together all. Other important factors, other than

those used to quantify and compare the genders, also include factors that may be crucial in

determining the gender of the two groups include age, education, social class, ethnicity,

N Mean Std. Deviation Skewness Kurtosis Statistic Statistic Statistic Statistic Std. Error Statistic Std. Error 105 571366.67 277404.129 -.090 .236 -1.299. 105 1.39 .490 .456 .236 -1.828. 105 3.35 1.056 -.451 .236 -.554. 105 2.9098 .68402 -.228 .236 -.757. 105 7.26 1.519 .106 .236 -.511. 105 100.09 13.427 -.757 .236 1.146. 105