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Showing 1 to 15 of 210 results matching sizes
Name/Notes Owner Created Size Views
AgePawsizeScatterjheretzMay 13, 2019174B30
Jessica Hall Lab Two frequency side by side for Education Attainment
The relative freq sbys chart shows that more females did not graduate from H.S. compared to males at a little over 14 mil. Approximately 28 mil males and over 33 mil of the females became H.S. graduates . Moreover, more than 14 mil males and almost 17 mil females gained some college education with no degree. Females exceed males in all categories. The freq chart has a disadvantage over the rel freq chart because it does not take into account the differences in the total population sizes between males and females surveyed in the study.
jessicasymone26Oct 13, 2018174B50
Summary statistics for Rate:
Where: Group = "Infant"
Group by: Year
YearnMeanVarianceStd. dev.Std. err.MedianRangeMinMaxQ1Q3

#7: What I learned - Infant Rates by Year (Under Five Table on Graph)
#7: What I have learned about the global infant mortality rate and under five mortality rate: When examining the WHO region data, I noticed a significant difference in all urban area rates when compared to rural area rates, which could be due to lack of infrastructure such as electricity, clean water, public health clinics, etc. While all WHO regions had varying average rates for both infants and under-fives, all regions’ respective averages for urban rates were lower than their rural average rates. When all regions’ data are combined, urban areas have an average of 53.40 infant mortality rates and an average of 80.70 for under-five rates. Rural areas have an average of 71.71 for infant mortality rates and an average of 112.13 for under-five rates. When looking specifically at all infant rates by year, the average seems to fluctuate within at most 15 units from 1993 - 2001 and then dips dramatically to an average of 30.825 in the following year of 2002; however, 2002 also has the lowest sample population at 8 figures. This differs from under-five rates which jump dramatically in the first year to the second, with 1993’s average at 96.73 and the following year of 1994’s average at 120.02 while the sample sizes only increase by 2. However, both rates see a decrease in 2012, with an infant rate of 46.86 and an under-five rate of 68.84.
mmmwwwAug 8, 201811KB166
Histogrammonchis715Mar 26, 2018174B76
Histogram of neck sizesalqahtanif8Feb 13, 2018174B72
Group 8: Pie Chart - Clothing Sizesnaomip19Jan 3, 201755KB355
Summary statistics for Collision:
Group by: Size
SizenMeanStd. dev.MinQ1MedianQ3MaxRangeIQR

Summary statistics for Property Damage:
Group by: Size
SizenMeanStd. dev.MinQ1MedianQ3MaxRangeIQR

Summary statistics for Comprehensive:
Group by: Size
SizenMeanStd. dev.MinQ1MedianQ3MaxRangeIQR

Summary Stats_2WD_AllSizes
ambaker_101Oct 25, 20159KB89
Summary statistics for ShoeSize:
Group by: Gender
GendernMeanVarianceStd. dev.Std. err.MedianRangeMinMaxQ1Q3

Summary statistics for Height:
Group by: Gender
GendernMeanVarianceStd. dev.Std. err.MedianRangeMinMaxQ1Q3

E.Roche2015SpringHeightand shoesizeSummary Stats
eseton39Jan 24, 20154KB149
Height and Shoe sizeScatter Plot29742450_ecollege_msumlpDec 4, 20148KB186
Histogram for dress sizesdl2686Oct 10, 201411KB135
Pie Chart With Datafreepraz2012Mar 29, 201486KB280
Frequency table results for Household:
Household Frequency
1 2
2 8
3 5
4 9
5 9
6 4
7 2
11 1

Frequency Table of Statistics Students Household Sizes
britneyn2012Sep 7, 2013972B207
Student Shoe Sizes
Question 19
jlsherrAug 25, 201325KB173
Class Shoe Sizes
Question 19
mikailsAug 23, 20139KB172
Summary statistics:
Column n Mean Variance Std. Dev. Std. Err. Median Range Min Max Q1 Q3
Girls 100 541.43 91301.88 302.16202 30.216202 550.5 946 46 992 256.5 833
Boys 100 574.56 58015.258 240.86357 24.086357 577.5 880 110 990 404.5 753.5
Column Statistics
The summary statistics supports the boxplot by showing the standard deviation, variance and range among the album collections between both genders. The girls' individual album collection shows a variance of 91301.88 and a standard deviation of 302.16 which proves that the spread is much wider than the boys' individual album collection which has a total variance of 58015.258 and a standard deviation of 240.86. This can also be shown by the differences between both genders' collections in quartiles 1 and 3. However, though the spread is much wider among the collections of the girls, the means between the total groups of album collection are roughly closer together with a 5.8% difference. Similar to the mean is the median of the data which has a difference of 4.7%. This proves that towards the center of the distribution the album collection of the girls and boys don't vary as much. Likewise, although the minimum amount of albums owned from the girls is much fewer than from the guys, the maximum amount of owned is roughly the same. This affects the range for the girls which is 946, but shows more consistency of album collection sizes among the guys. Overall, this shows that boys are more likely to own more albums than the girls by a matter of consistency. This is proven by the differences between the collections in the first quartile.
astra028May 12, 20131KB308

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