This page is made after going through the recent new-syllabus question papers like Chaitra 2082 and Bhadra 2082, and observing how the questions are actually being asked. After checking everything together, a clear question-wise pattern can be seen.
We looked at the recent papers and how the syllabus is being followed in exams. Most of the questions are coming in a fixed structure. If you understand this structure, you do not have to study everything blindly.
Mean, standard deviation, variance, quartiles, boxplot, histogram, scatter plot or comparison between data sets. Interpretation is also important.
Basic probability, total probability and Bayes theorem. Usually given in a real-life situation like machines, suppliers, defects or selection.
Discrete or continuous random variable. They may ask to find \( k \), mean, variance or probability.
Discrete distribution question. Exact, at least and at most type probability questions are very common.
Normal distribution using \( z \), probability and percentage type questions. Sometimes sampling distribution or CLT can appear.
Point estimation, confidence interval for mean or sample size. Usually direct if the formula is clear.
Steps of hypothesis testing, Type I error, Type II error and general procedure of testing.
Single mean, two means, paired \( t \)-test or one-way ANOVA. This is one of the most important numerical testing areas.
Goodness of fit, independence test or ANOVA style question. Chi-square tables and expected frequencies must be handled properly.
Correlation coefficient \( r \), coefficient of determination, testing of correlation, scatter plot or effect of outlier.
Simple regression equation, regression coefficient and prediction. The question may also include a short theory part.
\( \bar{X} \)-chart, R-chart or P-chart. Find control limits, plot points and comment whether the process is under control.