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