- Correlation
- Pearson: Product Corelation
- Spearman: Rank Corelation
- Whenever we have Ordinal Data (Rank Column, Marks of Students ).
- If two ranks are same, then (next rank+(next+1))/2 rank, i:e (2+3)/2
- If Three ranks are same, then rank is: (next rank+(next+1)+(next+2))/2. i: 1+3+4/2
- And so on.

- Hypothesis Test
- Find t value
- Find p value
- Check it p value less than or more than alpha
- If p value is less than alpha then

- T Test: Sample Size is Small: Say 30.
- One Tail Test
- When Hypothesis talks about mean as > or < of Certail value
- When Fail to reject Null Hypothesis?
- If the P from test is > than Alpha(0.05, generally), then Null Hypothesis is Accepted(Failed to reject)
- If T from experiment is < than T found out for Degree of Freedom(Number of Observations) and Critical Value (Alpha say 0.05) from T Table of One Tail, then Null Hypothesis is Accepted.

- Two Tail Test
- When Null Hypothesis talks about = of certain value.
- When Fail to reject Null Hypothesis?
- If the P from test is > than Alpha(0.05, generally), then Null Hypothesis is Accepted!(Failed to reject)
- If T from experiment is beyond T Area(Experiment T must not fall in between Table T value range( found out for Degree of Freedom(Number of Observations) and Critical Value (Alpha say 0.05) from T Table of One Tail, then Null Hypothesis is Accepted.

- Normal Distribution
- 68-95-99.7 for 1,2,3 SD Area from Mean.
- Standardization:
- z(i)=(x-mean)/(standard distribution)

**Skewness** is a measure of symmetry, or more precisely, the lack of symmetry. A distribution, or data set, is symmetric if it looks the same to the left and right of the center point.
**Kurtosis**is a measure of whether the data are peaked or flat relative to a normal distribution.
- Mean Absolute Deviation: x-Mean
**Upper Hinge:** Mid of Median to Max Value
**Lower Hinge:** Mid of Median to Min Value

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Written 9:44 PM by HARI PRASAD

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