Chapter Undergraduate 400 words Human Written

Modality Skew Standard Deviation in Histogram

Last reviewed: ~2 min read
80% visible
Read full paper →
Paper Overview

Histograms and Visual Interpretation Histogram 1 shows the total scores of females. Histogram 2 shows the total scores of males. Both histograms display negative skew with longer tails on the left than on the right. The kurtosis is flatter among males than among females, which shows a sharp increase around the median; thus the histogram of female totals is mesokurtotic...

Full Paper Example 400 words · 80% shown · Sign up to read all

Histograms and Visual Interpretation Histogram 1 shows the total scores of females. Histogram 2 shows the total scores of males. Both histograms display negative skew with longer tails on the left than on the right. The kurtosis is flatter among males than among females, which shows a sharp increase around the median; thus the histogram of female totals is mesokurtotic and the histogram of males is more playkurtotic. The modality is different for the two as well: the female histogram is multimodal and the male histogram is bimodal.

There appear to be outliers but this could also be judged as the tail of normal distribution and were they removed it would look like an amputee distribution perhaps. Both histograms show significant symmetry with slightly more modality on the right because of the skew. The strengths of visually interpreting histograms is that it provides a general feel for the shape of the curve and the make-up of the variable, in this case males and females and how they round out as a whole.

The weakness of visually interpreting histograms is that it does not provide an exact numerical interpretation for measurement purposes. Descriptive Statistics N Minimum Maximum Mean Std. Deviation Skewness Kurtosis Statistic Statistic Statistic Statistic Statistic Statistic Std. Error Statistic Std. Error id 106484 988808 571366.67 277404.129 -.090 .236 -1.299 .467 gender 1 2 1.39 .490 .456 .236 -1.828 .467 ethnicity 1 5 3.35 1.056 -.451 .236 -.554 .467 gpa 1.14 4.00 2.7789 .76380 -.052 .236 -.811 .467 quiz3 0 10 8.05 2.322 -1.177 .236 .805 .467 total 51 15.299 -.837 .236 .943 .467 Valid N (listwise) Section 2: Calculating and Interpreting Measures of Central Tendency and Dispersion The variables for which mean, s.d., skewness and kurtosis have no meanings are: id, gender, and ethnicity.

The variables for which mean, s.d., skewness and kurtosis are interpretable are gpa, quiz 3, and total scores, because these three variables offer numeric data.

80 words remaining — Conclusions

You're 80% through this paper

The remaining sections cover Conclusions. Subscribe for $1 to unlock the full paper, plus 130,000+ paper examples and the PaperDue AI writing assistant — all included.

$1 full access trial
130,000+ paper examples AI writing assistant included Citation generator Cancel anytime
Cite This Paper
"Modality Skew Standard Deviation In Histogram" (2016, January 30) Retrieved April 21, 2026, from
https://www.paperdue.com/essay/modality-skew-standard-deviation-in-histogram-2155616

Always verify citation format against your institution's current style guide.

80% of this paper shown 80 words remaining