A study of the following with reference to pharmaceutical sciences.
Applications of statistics in pharmaceutical sciences.
Scales of measurement (nominal, ordinal, interval, ratio)
Definitions, concept, Applications, merits and demerits of the mean, median, mode, standard deviation, relative standard deviation, variance, coefficient of variation, skewness, kurtosis.
Definition and concept of precision, accuracy, mean error, relative error, significant numbers.
Concept, applications, properties, calculations involved in correlation (Pearson's correlation coefficient, Spearman's rank correlation coefficient) and regression (linear regression, least square method).
Probability: Definitions (Random event, Elementary event, exhaustive event, mutually exclusive events, complementary events, independent events, classical and modern definitions of probability, random variables.)
Addition thoerem, Multiplication thoerem, Baye's thoerem
Probability distributions such as normal, binomial and poisson distributions, sampling distribution, standard error, confidence limits.
Elements of sampling theory: Definitions and concepts of population, sample, discrete variable, continuous variable, different sampling methods.
Testing of hypothesis: Definition and concept of null hypothesis, types of error, level of significance, criterion value, T-test, X2-test.
Text Books:
1. Comprehensive statistical methods, by P.N>Arora, Sumeet Arora, and S.Arora (S.Chand & company)
2. Miller & Freund's Probability and statistics for engineers by Richard A. Johnson, (pearson Education Publishers)
3. Statistics - Theory, methods and application by DC sancheit and VK Kapoor (Sultan chand & sons Publishers)
Reference Book:
1. Pharmaceutical statistics by S.Bolton 2. Biostatistics and computer applications by G.N.Rao and N.K.Tiwari published by Pharma book syndicate.
Applications of statistics in pharmaceutical sciences.
Scales of measurement (nominal, ordinal, interval, ratio)
Definitions, concept, Applications, merits and demerits of the mean, median, mode, standard deviation, relative standard deviation, variance, coefficient of variation, skewness, kurtosis.
Definition and concept of precision, accuracy, mean error, relative error, significant numbers.
Concept, applications, properties, calculations involved in correlation (Pearson's correlation coefficient, Spearman's rank correlation coefficient) and regression (linear regression, least square method).
Probability: Definitions (Random event, Elementary event, exhaustive event, mutually exclusive events, complementary events, independent events, classical and modern definitions of probability, random variables.)
Addition thoerem, Multiplication thoerem, Baye's thoerem
Probability distributions such as normal, binomial and poisson distributions, sampling distribution, standard error, confidence limits.
Elements of sampling theory: Definitions and concepts of population, sample, discrete variable, continuous variable, different sampling methods.
Testing of hypothesis: Definition and concept of null hypothesis, types of error, level of significance, criterion value, T-test, X2-test.
Text Books:
1. Comprehensive statistical methods, by P.N>Arora, Sumeet Arora, and S.Arora (S.Chand & company)
2. Miller & Freund's Probability and statistics for engineers by Richard A. Johnson, (pearson Education Publishers)
3. Statistics - Theory, methods and application by DC sancheit and VK Kapoor (Sultan chand & sons Publishers)
Reference Book:
1. Pharmaceutical statistics by S.Bolton 2. Biostatistics and computer applications by G.N.Rao and N.K.Tiwari published by Pharma book syndicate.
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