Subject Details
Dept     : MCA
Sem      : 1
Regul    : 2023
Faculty : Dr. NANDINI.G
phone  : NIL
E-mail  : nandiniap2006@gmail.com
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Lecture Notes

UNIT 1:
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Cumulative Frequencies
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Relative Frequencies
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Pie Charts
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Bar Charts
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Bar Charts
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Histogram
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Histogram
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Frequency Polygon
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Frequency Ogives
UNIT 2:
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Arithmetic Mean
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Median
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Mode
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Range
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Quartile Deviation
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Standard Deviation
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Standard Deviation
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Variance
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Co efficient of Variance
UNIT 3:
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Sampling distributions-Tests for single mean (large samples)
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Sampling distributions-Tests for Difference of two means(large samples)
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Sampling distributions-Tests for single Proportion(large samples)
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Sampling distributions-Tests for Difference of two Proportion(large samples
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Sampling distributions-Tests for single mean and Difference of two means(small samples)
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Sampling distributions-Tests for single mean and Difference of two means(small samples)
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Sampling distributions-Tests for single mean (smal samples)
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Chi square test for goodness of fit-Independence of attributes.
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Chi square test for goodness of fit-Independence of attributes.
UNIT 4:
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Complete randomized design
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Complete randomized design
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Complete randomized design
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Randomized block design
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Randomized block design
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Latin square design
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Latin square design
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Latin square design
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Latin square design
UNIT 5:
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Karl Pearson’s Co Efficient Correlation
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Least Square Fit Of Linear Regression
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Random Vector & Matrices
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Multivariate Normal Density Function
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Mean Vectors
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Covariance Matrices
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Multivariate Normal Density Function
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Principal Component Analysis
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Population Principal Components