Descriptive statistics relative to the data

Question

Discuss the below:

1) Can you kindly explain what the confidence % truly means at the bottom of the descriptive statistics relative to the data?

2) How would I determine if the accuracy of the data would improve if there were more data points? In other words, can the number of data points somehow determine the confidence interval for the data????

3) How would I determine whether the data columns represent a normal or log normal distribution? How do I produce a distribution diagram or curve?

4) How would I produce a probability graph for any column of data ---- i.e. plotting concentration of the compound on the x-axis and probability on the y-axis ---- how is this done? We are supposed to understand the significance of outlier data here?

5) How do I determine the percentile ranking of the data? In other words, how do I determine what percentile the data points lie within?

6) I've seen confidence intervals described by what looks like a box & whisker plot ----- but how would I determine or plot the confidence intervals and then determine the upper and lower control limits based on the data?

7) How can or does the confidence interval for a data set improve?? What has to happen to the data for the CI to improve? And what bearing does the outlier data have?

Data set
Date	Cadmium	Chromium	Lead	Mercury	Ash Content	Chlorine	Heat Content	S.G.
Sampled	mg/kg	mg/kg	mg/kg	mg/kg	%	mg/kg	BTU/lb
24-Mar-09	0.05	0.127	0.25	0.040	0.0168	5.0		0.7996
5-Jun-09	0.05	0.242	0.25	0.004	0.3387	5.0	15165	0.8390
8-Sep-09	0.10	0.250	0.50	0.004	0.0145	5.0		0.8314
2-Dec-09	0.20	0.500	1.00	0.004	0.0103	5.0		0.8336
12-Mar-10	0.10	0.250	0.50	0.020	0.0314	5.0	17554	0.8050
18-Jun-10	0.10	0.250	0.50	0.020	0.0145	5.0		0.8362
1-Sep-10	0.10	0.250	0.50	0.020	0.0400	5.0	14100	0.8140
6-Dec-10	0.10	0.250	0.50	0.020	0.0100	5.0	16700	0.8085
28-Mar-11	0.10	0.250	0.50	0.020	0.0100	5.0	15000	0.8172
7-Jun-11	0.10	0.500	0.50	0.020	0.0100	5.0	16300	0.8285
29-Jun-11	0.10	0.250	0.50	0.020	0.0200	5.0	15100	0.8245
1-Sep-11	0.10	0.250	0.50	0.020	0.0500	11.0	12900	0.8768
8-Dec-11	0.10	0.250	0.50	0.020	0.1000	5.0	14500	0.8832
5-Mar-12	0.10	0.250	0.50	0.020	0.0300	10.0	13500	0.8800
14-Jun-12	0.10	0.468	0.50	0.020	0.0300	10.0	13700	0.8885
5-Sep-12	0.10	0.250	0.50	0.020	0.0400	10.0	14300	0.8949
4-Dec-12	0.10	0.250	0.50	0.020	0.0230	15.0	15900	0.8395
6-Mar-13	0.10	0.250	0.50	0.020	0.0360	15.0	14100	0.8641
2-Jun-13	0.10	0.250	0.50	0.020	0.0220	9.1	14700	0.8730
2-Sep-13	0.10	0.349	0.50	0.020	0.0190	29.8	15500	0.8537
2-Dec-13	0.10	0.250	0.50	0.020	0.0910	25.4	16800	0.8607
9-Mar-14	0.10	0.250	0.50	0.020	0.0880	5.0	13000	0.8280
Mean	0.1	0.281182	0.5	0.018727	0.04750909	9.104545	14934.38889	0.844541
Standard Error	0.005698	0.019525	0.02849	0.001566	0.01498563	1.462644	313.9598153	0.006192
Median	0.1	0.25	0.5	0.02	0.0265	5	14850	0.8376
Mode	0.1	0.25	0.5	0.02	0.01	5	14100	#N/A
Standard Deviation	0.026726	0.091581	0.133631	0.007343	0.07028885	6.860409	1332.018686	0.029041
Sample Variance	0.000714	0.008387	0.017857	5.39E-05	0.00494052	47.06522	1774273.781	0.000843
Kurtosis	10.5	2.293972	10.5	4.063022	15.2665262	3.963119	-0.62406259	-1.16985
Skewness	2.057912	1.607819	2.057912	0.010706	3.70772641	2.062043	0.325290291	0.245128
Range	0.15	0.373	0.75	0.036	0.3287	24.8	4654	0.0953
Minimum	0.05	0.127	0.25	0.004	0.01	5	12900	0.7996
Maximum	0.2	0.5	1	0.04	0.3387	29.8	17554	0.8949
Sum	2.2	6.186	11	0.412	1.0452	200.3	268819	18.5799
Count	22	22	22	22	22	22	18	22
Largest(1) Kth	0.2	0.5	1	0.04	0.3387	29.8	17554	0.8949
Smallest(1) Kth	0.05	0.127	0.25	0.004	0.01	5	12900	0.7996
Confidence Level(95.0%)	0.01185	0.040605	0.059248	0.003256	0.03116433	3.041735	662.3973031	0.012876