MA3391 PROBABILITY AND STATISTICS
Prepared by
S.Santhosh (Admin)
Important questions
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UNIT -1
1.Exponential Distribution( mean, variance)**
2. Poisson distribution
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3. binomial ,geometric distributionrare
4. Bayes theorem
UNIT-2
1. Correlative and regression**
2. Covariance
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3. central limit theorem UNIT-3
1.rank test,sum test **
1.efficiency consistency ,method of moments,maximum likehood
2.diff b/w mean variance
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UNIT-41.rank test,sum test **
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2.kolmogorov test ,test of randomness
UNIT-5
1.Control charts for attributes
2.Control charts for measurements**
1.Control charts for attributes
2.Control charts for measurements**
**Very important questions are bolded and problem asked based on this topic
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Share it as link alone . don't share it as screenshot or any text material if u found this anywhere kindly report me . #Admin WhatsAppContact uS
*These questions are expected for the exams This may or may not be asked for exams All the best.... from admin Santhosh
Thanks for your love and support guys keep supporting and share let the Engineers know about Us and leave a comment below for better improvements If there is any doubt feel free to ask me I will clear if I can or-else I will say some solutions ..get me through WhatsApp for instant updates ~$tuff$£ctorSYllabuS
Contact uS
*These questions are expected for the exams This may or may not be asked for exams
All the best.... from admin Santhosh
Thanks for your love and support guys keep supporting and share let the Engineers know about Us and leave a comment below for better improvements
If there is any doubt feel free to ask me I will clear if I can or-else I will say some solutions ..get me through WhatsApp for instant updates ~$tuff$£ctorUNIT I PROBABILITY AND RANDOM VARIABLES
Probability – The axioms of probability – Conditional probability – Baye‘s theorem - Discrete and continuous random variables – Moments – Moment generating functions – Binomial, Poisson, Geometric, Uniform, Exponential and Normal distributions.
UNIT II TWO - DIMENSIONAL RANDOM VARIABLES
Joint distributions – Marginal and conditional distributions – Covariance – Correlation and linear regression – Transformation of random variables – Central limit theorem (for independent and identically distributed random variables).
UNIT III TESTING OF HYPOTHESIS
Sampling distributions - Estimation of parameters - Statistical hypothesis - Large sample tests based on Normal distribution for single mean and difference of means - Tests based on t, Chi-square and F distributions for mean, variance and proportion - Contingency table (test for independent) - Goodness of fit.
UNIT IV DESIGN OF EXPERIMENTS
One way and Two-way classifications - Completely randomized design – Randomized block design – Latin square design - 22 factorial design.
UNIT V STATISTICAL QUALITY CONTROL
Control charts for measurements (X and R charts) – Control charts for attributes (p, c and np charts) – Tolerance limits - Acceptance sampling.
Probability – The axioms of probability – Conditional probability – Baye‘s theorem - Discrete and continuous random variables – Moments – Moment generating functions – Binomial, Poisson, Geometric, Uniform, Exponential and Normal distributions.
UNIT II TWO - DIMENSIONAL RANDOM VARIABLES
Joint distributions – Marginal and conditional distributions – Covariance – Correlation and linear regression – Transformation of random variables – Central limit theorem (for independent and identically distributed random variables).
UNIT III TESTING OF HYPOTHESIS
Sampling distributions - Estimation of parameters - Statistical hypothesis - Large sample tests based on Normal distribution for single mean and difference of means - Tests based on t, Chi-square and F distributions for mean, variance and proportion - Contingency table (test for independent) - Goodness of fit.
UNIT IV DESIGN OF EXPERIMENTS
One way and Two-way classifications - Completely randomized design – Randomized block design – Latin square design - 22 factorial design.
UNIT V STATISTICAL QUALITY CONTROL
Control charts for measurements (X and R charts) – Control charts for attributes (p, c and np charts) – Tolerance limits - Acceptance sampling.