Assam Higher Secondary Statistics study materials
Assam Higher Secondary Statistics study resources

Assam Higher Secondary Statistics study plan

Assam Higher Secondary Statistics · Give each week a clear focus.

8 weeks · About 7 hours per week

Week 1

Descriptive Statistics: Collection and Presentation of Data, Measures of Central Tendency & Measures of Dispersion, Moments, Skewness and Kurtosis

  • Distinguish census from sample survey and classify 20 real data sources as primary or secondary, justifying each choice in one line.

  • Construct grouped frequency distributions with correct class limits, class marks, and both cumulative frequency columns for five raw data sets.

  • Draw and fully label a histogram, frequency polygon, and both ogives from one grouped distribution, then locate the median graphically and confirm it by computation.

  • Compute mean, median, mode, weighted mean, and combined mean for grouped and ungrouped data across 10 problems, showing the step-deviation working.

  • Write out all central tendency formulas from memory and state two properties each of mean, median, and mode.

Your checkpoint

A hand-written formula sheet for Domain 1 plus 10 fully solved central tendency problems, with at least 8 of 10 correct.

Week 2

Measures of Dispersion, Moments, Skewness and Kurtosis

  • Compute range, quartile deviation, mean deviation about mean and median, standard deviation, variance, and coefficient of variation for eight data sets, grouped and ungrouped.

  • Apply the step-deviation and assumed-mean shortcuts to grouped standard deviation and verify against the direct method on two data sets.

  • Convert raw moments to central moments and back for two small distributions, checking the arithmetic numerically both ways.

  • Calculate beta-one, beta-two, gamma-one, and gamma-two for six distributions and classify each as skewed or symmetric, leptokurtic, mesokurtic, or platykurtic.

  • Compare two or more series on consistency using the coefficient of variation in five word problems, stating which series is more consistent and why.

Your checkpoint

A 20-problem timed set (50 minutes) covering dispersion, moments, skewness and kurtosis, scored at 75% or above, with corrections written for every error.

Week 3

Measures of Dispersion, Moments, Skewness and Kurtosis & Correlation and Regression

  • Compute Karl Pearson's coefficient of skewness and Bowley's coefficient for four distributions and use the empirical relation between mean, median, and mode to recover a missing value.

  • Draw scatter diagrams for five bivariate data sets and classify direction and strength of association by inspection before computing anything.

  • Compute Pearson's correlation coefficient by the direct, deviation, and assumed-mean methods on one data set and show that all three agree to two decimals.

  • Compute Spearman's rank correlation, including two cases with tied ranks, applying the tie correction properly.

  • Demonstrate with examples that correlation is unaffected by change of origin or scale but is affected by interchange of variables.

Your checkpoint

A comparison table of the three correlation methods plus eight fully worked correlation problems, including two tied-rank cases.

Week 4

Correlation and Regression

  • Obtain both regression lines from a single data set and use each to predict a value, showing clearly which line predicts x from y and which predicts y from x.

  • Compute the two regression coefficients and verify that their product equals the squared correlation coefficient.

  • Solve five problems where the means, standard deviations, correlation coefficient, and one regression coefficient are given and the remaining quantities must be recovered.

  • Interpret regression coefficients and the intercept in context, and explain in writing why regression lines pass through the point of means.

  • Contrast correlation with regression on four stated points of difference, with one worked counterexample.

Your checkpoint

A closed-book 90-minute mock paper on Domains 1 to 3, scored at 70% or above, with a written error log.

Week 5

Probability and Probability Distributions

  • Define classical, relative frequency, and axiomatic approaches to probability, and compute probabilities for dice, cards, and urn experiments under each interpretation.

  • Apply the addition and multiplication theorems across 15 problems, correctly separating mutually exclusive from independent events each time.

  • Compute conditional probabilities and solve five Bayes' theorem problems, drawing the tree diagram before calculating.

  • Construct probability distributions for two discrete random variables, verify that probabilities sum to one, and compute expectation and variance of each.

Your checkpoint

A 25-problem probability worksheet scored at 80% or above, with a half-page summary of when each theorem applies.

Week 6

Probability and Probability Distributions & Sampling, Statistical Inference, Time Series and Index Numbers

  • Fit a binomial distribution for given n and p, compute individual and cumulative probabilities, and state its mean and variance.

  • Solve Poisson distribution problems and demonstrate the binomial-to-Poisson approximation for large n and small p with a numerical comparison.

  • Use standard normal tables to convert between z-scores and probabilities and solve four applied problems involving normal areas.

  • Distinguish sample from population and describe simple random, stratified, and systematic sampling with one advantage and one limitation of each.

  • Explain sampling distribution and standard error, and compute the standard error of the mean for four given cases.

Your checkpoint

A 12-problem worksheet on distributions and sampling methods scored at 75% or above, plus a labelled sketch of the normal curve with the 68-95-99.7 areas marked.

Week 7

Sampling, Statistical Inference, Time Series and Index Numbers

  • Construct confidence intervals for a population mean from large-sample data and interpret the interval in one sentence for a non-statistician.

  • Set up null and alternative hypotheses and carry out z-tests and t-tests for a single mean, stating the conclusion at 5% and 1% levels.

  • Decompose a time series into its four components and compute three-year and four-year moving averages for a given series, noting the centring requirement for even periods.

  • Fit a linear trend by the method of least squares to a given series and predict a value two periods ahead.

  • Construct Laspeyres, Paasche, and Fisher index numbers from one price-quantity table and test Fisher's index for time reversal and factor reversal.

Your checkpoint

Six worked index-number problems, four time-series problems, and a one-page decision flowchart for choosing between z-test and t-test.

Week 8

Descriptive Statistics: Collection and Presentation of Data, Measures of Central Tendency & Measures of Dispersion, Moments, Skewness and Kurtosis & Correlation and Regression & Probability and Probability Distributions & Sampling, Statistical Inference, Time Series and Index Numbers

  • Re-solve every previously incorrect problem and log each error under one of: formula recall, algebraic slip, misread question, or concept gap.

  • Write the complete formula set for all five domains from memory on a single sheet and check it against the week 1 sheet.

  • Complete two full-length timed papers under exam conditions with no notes, then mark them strictly against the syllabus.

  • Re-drill the two weakest sub-topics identified by mock-paper scores until two consecutive perfect attempts are achieved.

Your checkpoint

Two completed full-length mock papers with marked score sheets and a final consolidated one-page formula sheet covering all five domains.

Milestones

Week 2: Closed-book self-test on Domains 1 and 2 scored at 70% or above; the moments and kurtosis items must all be correct before moving on.

Week 4: Closed-book 90-minute paper on Domains 1 to 3 scored at 70% or above, with both regression coefficients and r correctly related in at least eight of ten attempts.

Week 6: Full-syllabus test covering Domains 1 to 4 scored at 65% or above, with no unanswered question in the probability section.

Week 8: Two full-length mock papers averaging 70% or above, with every Domain 5 formula reproduced correctly from memory.