How to prepare and score Good marks in Statistics Paper?

1. Plan a good Timetable – Ensure that you get yourself proper sleep and a healthy diet. It is extremely important to sleep for a minimum of 8 hours daily, to stay fresh and active. This will also enhance your concentration power. There could be some topics that you simply find boring and time-consuming. You can’t leave these chapters as they’re necessary for you to attain good marks. Attempt to complete these boring chapters first, then you can do the easier ones. So when the exam time approaches, you remain free from pressure and study patiently.
2. Have a reference material at hand (CBSE Study material/ CBSE Study Notes) – These reference materials are available on the web, for free. You can download these CBSE study materials and consult them while study. Another good reference material is Toppers’ notes, which are also available online. Like the CBSE study notes, these toppers’ notes also contain accurate and up-to-date information to organize you well for your board exams.
3. Solve the CBSE Previous years’ question papers – you can’t be certain if you’ve prepared well for the exam unless you test your preparation. The simplest way to check your preparation is to solve the CBSE previous years’ question papers. This will not only offer you enough practice of the topic but also will assist you identify the chapters where you ought to give more attention.
4. Try the online test series class 11th in Statistics – After solving the past year’s question papers, You can solve these class 11th practice tests available online. The questions compiled within these online test series class 11th are prepared by experts in the subject and are as per the CBSE standards. Solving these class 12th practice tests will strengthen your knowledge and can assist you to frame your answers well.

Collection Of Data

1. Sources of Data – Primary, Secondary Sources, Published, and Un-published sources
2. Methods of collecting primary data
   • Personal interview OR Direct Personal Investigation
   • Mailing (questionnaire surveys)
   • Telephone interviews
   • Indirect verbal investigation
   • Information from local sources
   • Enumerator method
3. Point of difference between Primary and Secondary data
   • Accuracy
   • Originality
   • Cost
   • Need for modification
4. Important points to be kept in mind while drafting the questionnaire
5. Pilot Survey
6. Census survey
7. Sample survey
8. Methods of sampling
   • Random sampling
   • Simple or unrestricted random sampling
   • Restricted random sampling
   • Non-Random Sampling
   • Judgment sampling
   • Quota sampling
   • Convenience sampling
9. Sampling Errors
10. Non-sampling errors

Organization and Classification of Data

1. Characteristics of classification
   • Homogeneity
   • Suitability
   • Clarity
   • Flexibility
   • Diversification
2. A variable
   • Discrete variable
   • Continuous variable
3. Basis of classification
   • Chronological classification
   • Geographical/Spatial classification
   • Qualitative classification
   • Quantitative classification
   • conditional classification
4. A frequency distribution
5. The class mid-point or class mark
6. Class frequency
7. Class width
8. Class Limits
9. The difference between Univariate and Bivariate Frequency distribution
10. Types of series
    • Individual series
    • Frequency series
    • Discrete series Or frequency array
    • Frequency distribution or continuous series

Presentation of Data

1. Forms of Presentation of data
   • Textual/Descriptive Presentation
   • Tabular Presentation
   • Diagrammatic Presentation
   • Graphical Presentation
2. Parts or components of Table
3. Kinds of Table:
   • According to Purpose
   • According to originality
   • According to construction
4. Classification of tabular presentation of data
   • Qualitative Classification
   • Quantitative Classification
   • Temporal classification
   • Spatial classification
5. Types of Diagrammatic Presentation
   • Geometric Form
   • Frequency Diagram
   • Arithmetic Line Graph or Time series graph
6. Bar diagram
   • Simple bar diagram
   • Multiple bar diagram
   • Subdivided bar diagram
   • Percentage bar diagram
   • Deviation bar diagram
   • Pie or circular diagram
7. Histogram
8. Frequency polygon
9. Frequency curve
10. Cumulative frequency curves or ogive curve.
11. Arithmetic line Graphs or Time Series Graphs

Measures of Central Tendency

1. The arithmetic mean or mean
2. Median
3. Partition values
4. Quartiles
   • lower half
   • upper half
   • first quartile
   • second quartile
   • third quartile
5. Deciles
6. Percentiles
7. Mode
8. Main purposes and functions of averages
9. Main purposes and functions of averages
10. Merits and Demerits of
    • Mean
    • Median
    • Mode
11. Important Formulae

Measures of Dispersion

1. Dispersion
2. Absolute measures of dispersion
3. Relative measures
4. Range
5. Inter Quartile Range
6. Quartile Deviation
7. Mean Deviation
8. Standard Deviation
9. Shortcut Method or assumed mean method
10. Calculation of standard deviation in discrete series
11. Step deviation method
12. Individual Series
    • Actual Mean Method
    • Assumed Mean Method
13. Discrete/Continuous Series
    • Actual Mean Method
    • Assumed Mean Method
    • Step Deviation Method
14. Merits of standard donation:
    • Based on all values
    • Rigidly defined
    • Less effect of fluctuations
    • Capable of algebraic treatment
15. Demerits of standard donation:
    • Difficult to compute
    • More stress on extreme items
    • Dependent on the unit of measurement.
16. Coefficient of variation
17. LORENZ CURVE
18. Application Lorenz Curve:
    • Distribution of income
    • Distribution of wealth
    • Distribution of wages
    • Distribution of production
    • Distribution of population
19. Construction of Lorenz Curve

Correlation

1. Meaning of correlation
2. Type of Correlation
3. Examples of positive correlation are:
   • Price and supply of a commodity.
   • Increase in Height and Weight.
   • Age of husband and age of wife.
   • The family income and expenditure on luxury items.
4. Examples of negative correlation are:
   • Sale of woolen garments and day temperature.
   • Price and Demand of a commodity.
   • The yield of crops and price.
5. Degree of Correlation:
6. Methods of estimating the correlation
   • Scatter diagram
   • Karl person’s coefficient of correlation
   • Spearman’s rank correlation.
7. Calculation of Karl Person’s coefficient of correlation

• Actual mean method
• Assumed Mean method
• Step deviation method

1. Properties of correlation coefficient(r)
2. Spearman’s rank correlation method

Index Numbers

1. Features of Index Number
2. Importance of Index number
3. Limitation of Index Number
4. Types of Index numbers
5. Methods of constructing index number
6. Simple aggregative method
7. Current year
8. Base year
9. The simple average of price Relatives method
10. The weighted average of price relative method
11. Weighted Aggregative method

• Laspeyre’s method
• Pasche’s method
• Fisher’s Method

1. Some Important index numbers: Consumer price index (CPI), Wholesale price index (WPI,) Index of industrial production (IIP), Index of agriculture production (IAP) and  Sensex
2. Problems in the construction of index numbers
3. Uses of index numbers
4. Inflation and index numbers