Tamil Nadu HSE First Year Statistics study plan
Tamil Nadu HSE First Year Statistics · Give each week a clear focus.
8 weeks · About 6 hours per week
Measures of Central Tendency & Scope of Statistics and Data Collection
Define statistics in the singular and plural sense, and list three functions and two limitations of statistics in your own words
Classify the following as nominal, ordinal, interval or ratio data: exam marks, blood group, ranking in a race, temperature in Celsius
Compute the arithmetic mean for raw data, a discrete frequency distribution and a grouped frequency distribution with class intervals, showing the step-deviation shortcut
Distinguish between a census and a sample survey, and state two situations where a sample survey is preferable
Compute the median and mode for raw data and for a grouped frequency distribution, using the standard interpolation formula for each
Your checkpoint
A one-page formula sheet covering mean, median and mode for raw, discrete and grouped data, plus 10 solved problems (two per data type) with the final answers checked against your textbook
Measures of Central Tendency
Compute the geometric mean and harmonic mean for raw data and state one practical situation where each is preferred to the arithmetic mean
Locate the median and quartiles graphically using an ogive drawn from a cumulative frequency table
Derive the empirical relation among mean, median and mode for a moderately skewed distribution and apply it to find a missing value
Solve for a missing frequency when the mean of a grouped distribution is given
Compare the merits and demerits of mean, median and mode, and choose the appropriate average for a stated real-life context
Your checkpoint
A set of 15 mixed central-tendency problems solved end to end, including two missing-frequency problems and one ogive-based quartile reading, with a short written justification for each choice of average
Measures of Dispersion
Compute range, quartile deviation and its coefficient for raw data and for a grouped frequency distribution
Compute mean deviation about the mean and about the median for raw and grouped data, and state which is smaller and why
Compute variance and standard deviation using the direct, assumed-mean and step-deviation methods, and verify that all three give the same answer for one data set
Compute the coefficient of variation for two data sets and decide which is more consistent
Explain why standard deviation is preferred to range and quartile deviation as a measure of dispersion
Your checkpoint
A comparison table of all dispersion measures (formula, units, merits, demerits) plus 12 solved numerical problems, including two coefficient-of-variation comparisons and one combined mean and combined standard deviation problem
Correlation and Regression
Draw a scatter diagram for a given bivariate data set and describe the direction and strength of the relationship
Compute Karl Pearson's coefficient of correlation for raw data and for a grouped frequency distribution
Compute Spearman's rank correlation coefficient, including the correction for tied ranks
Interpret a computed correlation coefficient, and explain with an example why correlation does not imply causation
Derive the two lines of regression from the normal equations and compute the regression coefficients byx and bxy
Your checkpoint
A full worked correlation-and-regression report on one data set: scatter diagram, Pearson r, rank correlation with tie correction, both regression lines, the predicted value for one new observation, and a check that r equals the square root of byx times bxy
Correlation and Regression & Skewness and Kurtosis
State the properties of the correlation coefficient, including its limits, its symmetry, and its independence of change of origin and scale
Use the relation between regression coefficients and the correlation coefficient to recover a missing value
Define skewness and distinguish between positive and negative skewness using a frequency curve sketch
Compute Karl Pearson's and Bowley's coefficients of skewness for a grouped distribution
Define kurtosis, distinguish leptokurtic, mesokurtic and platykurtic curves, and compute the moments-based measure for a simple data set
Your checkpoint
A 20-item mixed problem set on correlation, regression, skewness and kurtosis, scored out of 20, with every wrong item reworked and the correct method written out in a corrections log
Probability
State the classical, relative-frequency and axiomatic definitions of probability, and give one limitation of each
Apply the addition theorem for two and three events, including the mutually exclusive and exhaustive cases
Apply the multiplication theorem for independent events and for conditional probability, and use Bayes' theorem on a two-stage problem
Solve problems using permutations and combinations, including arrangements with repeated items
Compute the probability of at least one success and use the complement rule to simplify a counting problem
Your checkpoint
A portfolio of 20 probability problems grouped by the rule used (addition, multiplication, conditional, Bayes, counting), each with the sample space written out explicitly before the calculation
Random Variables and Mathematical Expectation & Sampling Techniques and Sampling Distributions
Distinguish between a discrete and a continuous random variable, and construct a probability distribution for a stated experiment
Compute the mean, variance and standard deviation of a discrete random variable from its probability mass function
State the properties of the binomial distribution, and compute probabilities, mean and variance for a stated n and p
Compare simple random sampling, stratified sampling and systematic sampling, and state one advantage and one limitation of each
State the central limit theorem and explain the standard error of the sample mean, including how it changes with sample size
Your checkpoint
A two-part summary sheet: one side with the expectation and variance formulas for a discrete random variable and the binomial distribution, the other with a sampling-methods comparison table, each supported by two fully solved examples
Index Numbers & Scope of Statistics and Data Collection
Distinguish between a price relative and a link relative, and construct a simple aggregative price index
Compute Laspeyres', Paasche's and Fisher's ideal index numbers from a given price and quantity table
Interpret the time reversal and factor reversal tests, and check whether Fisher's ideal index satisfies both
Compute the cost of living index using the weighted aggregate method, and explain the limitations of index numbers
Complete two full-length timed practice papers under exam conditions and classify every error as conceptual, computational or careless
Your checkpoint
Two completed timed practice papers with a scored error analysis sheet listing each mistake, its cause category, and the exact revision page or formula to revisit before the exam
Milestones
Week 2: Score at least 80% on a self-made 15-question test on central tendency, including one missing-frequency and one ogive problem, without consulting notes
Week 4: Produce a correct scatter diagram, Pearson r, rank correlation with tie correction and both regression lines for an unseen data set within 45 minutes
Week 6: Solve 18 of 20 mixed probability problems correctly, with the sample space written out for each, in a single 60-minute sitting
Week 8: Score at least 75% on both timed full-length practice papers, with no conceptual errors remaining in the error analysis sheet