Statistics and Linear Algebra 2

1. The Calculate the variance of a certain set of data:

　　Pts_mean = SUM (nba_stats["pts"])/len (nba_stats[' pts ')
point_variance = 0
For I in nba_stats[' pts ']:
difference = (i-pts_mean) * * 2
Point_variance + = Difference
Point_variance = Point_variance/len (nba_stats[' pts ')

2. Something to the power have the highest pirority, then mutiply and Devide, the Add and subsract.

3. Raise to the 11 fifth power. Assign the result to e . ( 11**5)

Take the fourth root of 10000 . (10000** (1/4))

4. Use STD () method to get the diviation:
Std_dev = nba_stats["PF"].std ()

5. To get the normal distribution:

From scipy.stats import norm

Points_two = Np.arange ( -10,10,0.1) #setup The X value by distributing-points from-10 to evenly.
Probabilities_two = Norm.pdf (points_two,0,2) # Get the normal distribution by using norm function　
Plt.plot (Points,probabilities_two) # Plot the points
Plt.show ()

6. In the normal distribution:

68% of the data is within 1 standard deviation of the mean, about 95% was within 2 standard deviations of the mean, and ABO UT 99% is within 3 standard deviations of the mean

7.

Statistics and Linear Algebra 2