
Results shared by StatCrunch members
Showing 1 to 15 of 210 results matching sizes
Name/Notes 
Owner 
Created 
Size 
Views 
AgePawsizeScatter  jheretz  May 13, 2019  174B  30 
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.  jessicasymone26  Oct 13, 2018  174B  50  Summary statistics for Rate:
Where: Group = "Infant" Group by: Year
Year  n  Mean  Variance  Std. dev.  Std. err.  Median  Range  Min  Max  Q1  Q3 

1993  10  64.6  477.63778  21.854926  6.9111343  61.4  70.5  31.7  102.2  45.6  82.2  1994  12  77.616667  544.10333  23.326023  6.7336427  77.55  73.3  42.8  116.1  60.9  94.05  1995  12  66.241667  1154.9208  33.984126  9.8103722  56.9  116.8  28.3  145.1  39.9  87.3  1996  22  75.8  647.94762  25.454815  5.4269848  77.15  83.1  34.9  118  52.5  94.7  1997  16  62.825  1255.8087  35.437391  8.8593477  52.6  136.4  22.8  159.2  37.7  78.55  1998  26  68.834615  813.56955  28.523141  5.5938481  63.3  116  30.8  146.8  49.3  84.7  1999  14  69.957143  619.32264  24.886194  6.651115  70  80.2  35.7  115.9  47.6  80.5  2000  24  68.145833  886.56085  29.775172  6.0778315  62.05  102.5  21.2  123.7  44.15  91.9  2001  10  79.48  1069.3262  32.700554  10.340823  77.5  104.9  27.5  132.4  50.3  104.8  2002  8  30.825  133.16786  11.539838  4.0799488  31.15  40  12.2  52.2  24.9  35.05  2003  20  67.425  855.65145  29.25152  6.5408388  65.35  111  23.8  134.8  47.4  81.05  2004  12  82  292.59091  17.105289  4.9378716  78.95  59.7  60.6  120.3  69.7  92.6  2005  28  57.082143  778.65856  27.904454  5.2734461  54.55  100.5  17.4  117.9  31.2  78.75  2006  20  65.66  578.46674  24.051335  5.3780421  65.7  103.6  18.6  122.2  48.6  81.45  2007  16  52.78125  930.19896  30.499163  7.6247908  47.6  92.1  15.7  107.8  26.6  79.15  2008  20  53.12  764.63747  27.652079  6.1831928  48.95  101.3  12.4  113.7  32.9  65.35  2009  10  43.72  536.52622  23.163036  7.324795  38.25  69.1  17  86.1  23  60.6  2010  20  51.175  448.44408  21.176498  4.735209  56.85  64.6  16.3  80.9  32.6  63.1  2011  18  56.111111  283.47516  16.836721  3.9684531  56.65  58.5  22.6  81.1  44.4  68.7  2012  14  46.857143  443.31495  21.055046  5.6271976  42  71.7  16  87.7  35.2  63 
#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 underfives, 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 underfive rates. Rural areas have an average of 71.71 for infant mortality rates and an average of 112.13 for underfive 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 underfive 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 underfive rate of 68.84.  mmmwww  Aug 8, 2018  11KB  166 
Histogram  monchis715  Mar 26, 2018  174B  76 
Histogram of neck sizes  alqahtanif8  Feb 13, 2018  174B  72 
Group 8: Pie Chart  Clothing Sizes  naomip19  Jan 3, 2017  55KB  355  Summary statistics for Collision:
Group by: Size Summary statistics for Property Damage:
Group by: Size
Size  n  Mean  Std. dev.  Min  Q1  Median  Q3  Max  Range  IQR 

Large  9  104.55556  11.181582  85  97  105  111  120  35  14  Midsize  21  92.238095  12.624994  61  87  90  101  116  55  14  Small  12  97.583333  16.68673  78  87.5  90.5  108  128  50  20.5  VeryLarge  3  118.66667  16.258331  106  106  113  137  137  31  31  Summary statistics for Comprehensive:
Group by: Size
Summary Stats_2WD_AllSizes  ambaker_101  Oct 25, 2015  9KB  89  Summary statistics for ShoeSize:
Group by: Gender Summary statistics for Height:
Group by: Gender
E.Roche2015SpringHeightand shoesizeSummary Stats  eseton39  Jan 24, 2015  4KB  149 
Height and Shoe sizeScatter Plot  29742450_ecollege_msumlp  Dec 4, 2014  8KB  186 
Histogram for dress sizes  dl2686  Oct 10, 2014  11KB  135 
Pie Chart With Data  freepraz2012  Mar 29, 2014  86KB  280  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  britneyn2012  Sep 7, 2013  972B  207 
Student Shoe Sizes
Question 19  jlsherr  Aug 25, 2013  25KB  173 
Class Shoe Sizes
Question 19  mikails  Aug 23, 2013  9KB  172  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.  astra028  May 12, 2013  1KB  308 

