Basic-stats-using-Python

Basic Statistical operations such as :

1. Measures of central tendency :

                    which tells about where centre of data is lying

    1. Mean:  
            Mean or average = (sum of elements/Total number of elements) 
    2. Median:
             Median is the middle most value
    3. Mode:
            It is most Frequent Value

2. Measures of Dispersion:

                    Dispersion from the mean

   1.Variance:
            The measure of variance from the mean
   2.Standard Deviation:
            Variance has sq units which is unacceptable practically so we go for standard deviation (sqrt(variance))
   3.Range:
            Range=Max-Min

3. Skewness:

   Measure of symmetry in distribution
   Skewness=0 or nearly 0 for normal distribution

4. Kurtosis:

   Measure of Peakness of Diastribution

5. Normal Distribution:

   Symmetrical arount mean.
   Area under curve is 100%
   Mean=0 and standard deviation=1 or constant

6. Z-score:

   To standardize the normal distribution we use this.
   Range is [-3,3]

7. T-score:

    To standardise the normal distribution when we dont have standard deviation

8 Visualizations:

    To understand data, we use visualizations

9 Confidence Interval:

    The interval in which we have confidence that our value is present

Data used:

    Q7,Q9_a,Cars

Programming:

    Python

The Codes regarding basic statistical operations and their datasets are present in this Repository in detail