Course module
Paper-II | Statistics — SSC CGL Tier - 2
Explore the module outline and lessons below. Enroll free to begin studying here.
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- Lessons
- 83
- Duration
- 9 hr 11 min
- PYQs
- 16
- Practice
- 1
1% of this course's PYQ weight is covered in this module.
Syllabus index
Lessons in this module
Statistics
Introduction & Types of Data
Mean, Median, and Mode for grouped data
Probability
Basic Concepts and Terminology
- [Notes] What is Experiment, Event, Favorable & Total OutcomePdf
- What is Sure Event, Impossible Event, Complementary EventDrm Video
- [Notes] What is Sure Event, Impossible Event, Complementary EventPdf
- Short Trick to find total outcomes in an experimentDrm Video
- [Notes] Short Trick to find total outcomes in an experimentPdf
- Mutually Exclusive Events & Exhaustive EventsDrm Video
- [Notes] Mutually Exclusive Events & Exhaustive EventsPdf
- Odds in Favour of an event & Odds Against An EventDrm Video
- [Notes] Odds in Favour of an event & Odds Against An EventPdf
- Demo: What is Experiment, Event, Favorable & Total OutcomeStandard Video
Classical Problems (Cards, Dice, Coins, Digits, Number, Objects)
- Short Tricks to deal with cases of 'At least' & 'At most'Drm Video
- [Notes] Short Tricks to deal with cases of 'At least' & 'At most'Pdf
- Tricks & Techniques to Solve Dice Sum ProblemsDrm Video
- [Notes] Tricks & Techniques to Solve Dice Sum ProblemsPdf
- Tricks & Techniques to Solve Playing Cards ProblemDrm Video
- [Notes] Tricks & Techniques to Solve Playing Cards ProblemPdf
- Finding Probability of 53 Sundays in a Leap YearDrm Video
- [Notes] Finding Probability of 53 Sundays in a Leap YearPdf
Probability Using Venn Diagrams & Set Theory
Research Process Steps
Types of Variables (Independent, Dependent, Control, Extraneous, etc.)
Measurement Scales (Nominal, Ordinal, Interval, Ratio & Attitudinal Scales)
Formulating Hypothesis
Preparing Research Design & Types of Experimental Designs
True, Quasi & Non-Experimental Designs
Randomisation, Types & Experimental Constraints
Biases in Experimental Design (Halo, Rivalry, Apprehension, etc.)
Sampling Fundamentals – Types, Probability & Non-Probability Sampling
Sampling & Non-Sampling Errors
Tools & Methods of Data Collection (Questionnaire, Interview, Observation, etc.)
Statistical Properties of Data (including Skewness & Kurtosis)
Testing of Hypothesis & Variables
Parametric Tests – t-test, z-test, ANOVA
Non-Parametric Tests – Chi-square, Mann-Whitney, K-S, Runs Test, etc.
Assumptions, Advantages & Limitations of Tests
Previous-year questions
PYQ collectionPYQ Questions3 questionsPYQ collectionPYQ Questions3 questionsPYQ collectionPYQ Questions1 questionsPYQ collectionPYQ Questions4 questionsPYQ collectionPYQ Questions1 questionsPYQ collectionPYQ Questions1 questionsPYQ collectionPYQ Questions1 questionsPYQ collectionPYQ Questions1 questionsPYQ collectionPYQ Questions15 questionsPYQ collectionPYQ Questions1 questionsPYQ collectionPYQ Questions1 questionsPYQ collectionPYQ Questions16 questions
Explore the course
- Paper-I | Mathematical Abilities
- Paper-I | Reasoning & General Intelligence
- Paper-I | English Language & Comprehension
- Paper-I | General Awareness
- Paper-I | Computer Knowledge/Proficiency)