Statistical-calculator

Task list

No.	Task	Short Description	Developer
1	Class Diagram	An outline showing how each of the statistical and calculator functions relates to each other	Nayana
2	Connect Travis-CI with Github repo	Configure automation testing on all branches using Travis	Nayana
3	Project management board	Development task breakdown to the function level	Nayana
4	Baseline the Basic Calculator functions	Addition, Subtraction, Division, Multiplication, Square, Square Root	Nayana
5	Descriptive Statistics functions	Functions- mean, median, mode, standard Deviation, Z-Score	Sourav
6	Population Sampling	Simple random sampling, Confidence Interval For a Sample, Margin of Error, Cochran’s Sample Size Formula, How to Find a Sample Size Given a Confidence Interval and Width (unknown population standard deviation)	Nayana
7	Random Generator	Generate a random number without a seed between a range of two numbers, Generate a random number with a seed between a range of two numbers, Generate a list of N random numbers with a seed and between a range of numbers, Select a random item from a list, Set a seed and randomly. select the same value from a list, Select N number of items from a list without a seed, Select N number of items from a list with a seed	Nayana
8	Readme	Task breakdown, description, formulas and result	Nayana, Sourav

Function list

No.	Function	Short Description Formula	Example	Result
1	Addition	a + b	12+3	15
2	Subtraction	b-a	13-2	11
3	Multiplication	a * b	5 * 2	10
4	Division	b/a	12/4	3
5	Square	a * a	5 * 5	25
6	Sqaure Root	math.sqrt(a)	math.sqrt(635)	25.19920633
7	Mean	sum(data)/len(data)	15/3	data=[1,2,3,4,5] Result = 3
8	Median	((n + 1)/2)th (even number of elements) (((n+1)/2) -1)(odd number of elements), n is len(data)	(5+1)/2	odd:data=[1,2,3,4,5] Result = 3,even:[1,2,3,4,5,6] Result = 3.5
9	Mode	max(frequency) Mode is calculated by counting the frequencies of an element in a list and calculating the max of all frequencies.	max(2,3,1,1,1,1,1)	data=[1,2,5,1,2,3,6,2,9,10,2] Result = 2(count 3)
10	Variance	s=((sum(x-x")* * 2/len(data-1))	((sum(data[i]-mean(data))* * 2/len(data)-1)	data=[1,2,3,4,5] Result = 2
11	Standard deviation	sqrt(variance)	sqrt(2)	data=[1,2,3,4,5] Result = 1.414
12	z_score	z=(data[i]-mean(data))/standard deviation	z=(1-3)/1.414	data=[1,2,3,4,5] -1.414

Class Diagram of Statistics, Calculator and related classes

Click here to veiw/download the class diagram in PDF format: Class Diagram.