Example of Quantitative Research Calculations: Metric Variable of Number of Adults in Household

For the Metric Variable of number of adults in household (ADULTCT), the descriptive statistics is below:

The metric variable of number of adults in household show N=51451 with missing value of 136. The values for the mean, median and mode for this statistics are 3.64, 3.00, and 2. The std. error of mean is minute compared to the std. error of mean for the URBRUR data. The sum is the total values of all subjects without missing data. It is also important to look at the skewness and kurtosis. The most important piece to consider,  according to Dr. Matt, in a video demonstration of central tendency (Laureate Education, 2016d), was how  the further we get away from 0 for the skewedness, the further we deviate from normal distribution. The skewness of this distribution table is 2.196, which is not a perfect distribution. Therefore, this distribution, because it has a positive skewness, has a long right tail.  Kurtosis allows for the degree to which research observation gather around a central socket ((Laureate Education, 2016d). For example, positive kurtosis of 12.3, relative to a normal distribution (i.e. which supposed to be 0 or around 0), shows how the research observation are more geared toward the central point of the distribution; the tail is thinner (not thicker), until otherwise.

Laureate Education (Producer). (2016d). Descriptive statistics [Video file]. Baltimore, MD: Author.

Statistics
ADULTCT: Number of adults in household 
N Valid 51451
Missing 136
Mean 3.64
Std. Error of Mean .011
Median 3.00
Mode 2
Std. Deviation 2.466
Variance 6.080
Skewness 2.196
Std. Error of Skewness .011
Kurtosis 12.307
Std. Error of Kurtosis .022
Range 53
Minimum 1
Maximum 54
Sum 187527
ADULTCT: Number of adults in household
  Frequency Percent Valid Percent Cumulative Percent
Valid 1 6572 12.7 12.8 12.8
2 14659 28.4 28.5 41.3
3 8976 17.4 17.4 58.7
4 7058 13.7 13.7 72.4
5 4979 9.7 9.7 82.1
6 3296 6.4 6.4 88.5
7 2177 4.2 4.2 92.7
8 1484 2.9 2.9 95.6
9 871 1.7 1.7 97.3
10 537 1.0 1.0 98.4
11 243 .5 .5 98.8
12 198 .4 .4 99.2
13 107 .2 .2 99.4
14 68 .1 .1 99.6
15 76 .1 .1 99.7
16 36 .1 .1 99.8
17 15 .0 .0 99.8
18 29 .1 .1 99.9
19 8 .0 .0 99.9
20 28 .1 .1 99.9
21 9 .0 .0 100.0
22 8 .0 .0 100.0
23 2 .0 .0 100.0
24 1 .0 .0 100.0
25 1 .0 .0 100.0
26 1 .0 .0 100.0
28 1 .0 .0 100.0
29 1 .0 .0 100.0
30 4 .0 .0 100.0
31 1 .0 .0 100.0
32 1 .0 .0 100.0
33 1 .0 .0 100.0
35 1 .0 .0 100.0
41 1 .0 .0 100.0
54 1 .0 .0 100.0
Total 51451 99.7 100.0  
Missing Missing 136 .3    
Total 51587 100.0