Канал: Concepts of Statistics

Lecture: 69 How to draw a Frequency Polygon

Lecture: 69 How to draw a Frequency Polygon

Lecture 5: How to find determinant of 2 by 2 and 3 by 3 matrix

Lecture 5: How to find determinant of 2 by 2 and 3 by 3 matrix

Lecture 68: How to draw Histogram | complete explanation

Lecture 68: How to draw Histogram | complete explanation

Lecture 67: How to draw component bar chart | component bar diagram

Lecture 67: How to draw component bar chart | component bar diagram

Lecture 66: Type 1 and Type 2 error | basic concept

Lecture 66: Type 1 and Type 2 error | basic concept

Lecture 65: How to draw multiple bar chart | multiple bar diagram

Lecture 65: How to draw multiple bar chart | multiple bar diagram

Lecture 64: Confidence Interval for the difference between two population means | examples

Lecture 64: Confidence Interval for the difference between two population means | examples

Lecture 63: How to draw bar chart | bar diagram

Lecture 63: How to draw bar chart | bar diagram

Lecture 62: How to draw Pie chart | pie diagram | sector diagram

Lecture 62: How to draw Pie chart | pie diagram | sector diagram

Lecture 61: Confidence interval estimation of population mean with examples | complete explanation

Lecture 61: Confidence interval estimation of population mean with examples | complete explanation

Lecture 60: Estimation of confidence interval | basic concept

Lecture 60: Estimation of confidence interval | basic concept

Lecture 59: Estimation | point estimation and interval estimation

Lecture 59: Estimation | point estimation and interval estimation

Lecture 4: Multiplication of Matrices | complete explanation

Lecture 4: Multiplication of Matrices | complete explanation

Lecture58: Testing Hypothesis for Standard Deviation with examples

Lecture58: Testing Hypothesis for Standard Deviation with examples

Lecture3: Addition and Subtraction of matrices | Examples

Lecture3: Addition and Subtraction of matrices | Examples

Lecture57: Hypothesis Testing for difference between two proportions with example

Lecture57: Hypothesis Testing for difference between two proportions with example

Lecture56: Testing hypothesis for population proportion with example

Lecture56: Testing hypothesis for population proportion with example

Lecture 55: Testing hypothesis for differences between two population means with examples

Lecture 55: Testing hypothesis for differences between two population means with examples

Lecture 54: Hypothesis Testing for population mean with examples

Lecture 54: Hypothesis Testing for population mean with examples

Lecture 53: One tailed and two tailed test and Testing hypothesis about mean

Lecture 53: One tailed and two tailed test and Testing hypothesis about mean

Lecture: 52 Procedure for Test of Hypothesis

Lecture: 52 Procedure for Test of Hypothesis

Lecture: 2 Class 9 math Chapter no 1 Types of Matrices

Lecture: 2 Class 9 math Chapter no 1 Types of Matrices

Lecture: 1 Class 9 Math Chapter no 1 Exercise: 1.1 ,Matrices and Determinants

Lecture: 1 Class 9 Math Chapter no 1 Exercise: 1.1 ,Matrices and Determinants

Lecture: 51 Sampling distribution for difference between proportion with example

Lecture: 51 Sampling distribution for difference between proportion with example

Lecture: 50 Sampling distribution of sample proportion with examples

Lecture: 50 Sampling distribution of sample proportion with examples

Lecture49: Sampling distribution of differences between means

Lecture49: Sampling distribution of differences between means

Lecture 48: Central limit theorem example no 14.13

Lecture 48: Central limit theorem example no 14.13

Lecture 47: B.sc part 2 Sampling Examples 14.7, 14.9, 14.11, 14.12

Lecture 47: B.sc part 2 Sampling Examples 14.7, 14.9, 14.11, 14.12

Lecture46: Sampling Distribution of the mean and example

Lecture46: Sampling Distribution of the mean and example

Lecture 45: Sampling with and without replacement and examples

Lecture 45: Sampling with and without replacement and examples

Lecture 44: Sampling techniques and complete explanation

Lecture 44: Sampling techniques and complete explanation

Lecture 43: Inverse use of table of areas under normal curve Examples

Lecture 43: Inverse use of table of areas under normal curve Examples

Lecture 42: Normal Distribution and Areas under Normal Curve

Lecture 42: Normal Distribution and Areas under Normal Curve

Lecture 41: Multinomial Distribution and Examples

Lecture 41: Multinomial Distribution and Examples

Lecture 40: Geometric Distribution and examples

Lecture 40: Geometric Distribution and examples

Lecture 39: Negative Binomial Distribution and examples

Lecture 39: Negative Binomial Distribution and examples

Lecture 38: Poisson Frequency Distribution and Poisson process with examples

Lecture 38: Poisson Frequency Distribution and Poisson process with examples

Lecture 37: Poisson Distribution and Examples

Lecture 37: Poisson Distribution and Examples

Lecture 36: Examples of Hypergeometric Distribution

Lecture 36: Examples of Hypergeometric Distribution

Lecture 35: Hypergeometric Probability Distribution and examples

Lecture 35: Hypergeometric Probability Distribution and examples

Lecture 34: Binomial Frequency Distribution with example and properties of Binomial Distribution

Lecture 34: Binomial Frequency Distribution with example and properties of Binomial Distribution

Lecture33: Binomial Probability Distribution with examples

Lecture33: Binomial Probability Distribution with examples

Lecture 32: Spearman Rank Correlation with examples

Lecture 32: Spearman Rank Correlation with examples

Lecture 31: Correlation with example and properties

Lecture 31: Correlation with example and properties

Lecture 30: Complementation law , Addition law and Multiplication law of probability

Lecture 30: Complementation law , Addition law and Multiplication law of probability

Lecture 29: Definitions of Probability: Objective Probability and Subjective Probability

Lecture 29: Definitions of Probability: Objective Probability and Subjective Probability

Lecture28: Finding and interpretation of Coefficient of Determination with example

Lecture28: Finding and interpretation of Coefficient of Determination with example

Lecture27: Standard error of estimate used in regression analysis with example

Lecture27: Standard error of estimate used in regression analysis with example

Lecture26: Probability: Rule of multiplication, permutation and combination with examples

Lecture26: Probability: Rule of multiplication, permutation and combination with examples

Lecture25: Least square method to find parameters of simple linear regression line and example

Lecture25: Least square method to find parameters of simple linear regression line and example

Lecture 24: Regression part a, simple linear regression model

Lecture 24: Regression part a, simple linear regression model

Lecture23: Probability : Events, Mutually Exclusive events, Exhaustive events, Complementary events

Lecture23: Probability : Events, Mutually Exclusive events, Exhaustive events, Complementary events

Lecture22: Probability: Random Experiment and Sample space

Lecture22: Probability: Random Experiment and Sample space

Lecture21: Probability part e, Partition of sets, Relation and Function

Lecture21: Probability part e, Partition of sets, Relation and Function

Lecture21: Probability part d, Algebra of sets

Lecture21: Probability part d, Algebra of sets

Lecture21: Probability part c, Union, Intersection, Difference, Complementation

Lecture21: Probability part c, Union, Intersection, Difference, Complementation

Lecture 21: Probability part b (set Theory)

Lecture 21: Probability part b (set Theory)

Lecture 21 Probability Part a, Set theory

Lecture 21 Probability Part a, Set theory

Lecture 20 kurtosis and solved examples of kurtosis

Lecture 20 kurtosis and solved examples of kurtosis

Lecture 19 Skewness and solved examples of skewness

Lecture 19 Skewness and solved examples of skewness

Lecture 18 Moments and solved examples of moments

Lecture 18 Moments and solved examples of moments

Lecture17 Coefficient of Variation and solved examples of Coefficient of Variation

Lecture17 Coefficient of Variation and solved examples of Coefficient of Variation

Lecture16 Variance and Standard Deviation, solved examples of Variance and S.D

Lecture16 Variance and Standard Deviation, solved examples of Variance and S.D

Lecture15 Mean Deviation and solved examples of mean deviation

Lecture15 Mean Deviation and solved examples of mean deviation

Lecture14 Quartile Deviation and solved examples of Quartile Deviation

Lecture14 Quartile Deviation and solved examples of Quartile Deviation

Lecture 13 Measures of dispersion, Range and solved examples of range

Lecture 13 Measures of dispersion, Range and solved examples of range

Lecture 12 Mode and solved examples of mode

Lecture 12 Mode and solved examples of mode

Lecture11c Percentiles and solved examples of percentiles

Lecture11c Percentiles and solved examples of percentiles

Lecture11b Deciles and solved examples of Deciles

Lecture11b Deciles and solved examples of Deciles

lecture11 part a Quantiles, Define Quartiles and solved examples of Quartiles

lecture11 part a Quantiles, Define Quartiles and solved examples of Quartiles

Lecture 10 Median, Solved examples of median

Lecture 10 Median, Solved examples of median

Lecture 9 Harmonic mean

Lecture 9 Harmonic mean

Lecture 8, Geometric Mean, Solved examples of Geometric mean for grouped and ungrouped data

Lecture 8, Geometric Mean, Solved examples of Geometric mean for grouped and ungrouped data

Lecture7: Arithmetic mean | Measure of central tendency

Lecture7: Arithmetic mean | Measure of central tendency

lecture6 Frequency Distribution, Frequency, Solved example of frequency distribution

lecture6 Frequency Distribution, Frequency, Solved example of frequency distribution

lecture 5, Tabulation, Parts of Tabulation

lecture 5, Tabulation, Parts of Tabulation

Lecture 4 Classification, Branches of Classification, Types of Classification

Lecture 4 Classification, Branches of Classification, Types of Classification

Lecture3 Variables, Types of Variables, Data, Types of Data

Lecture3 Variables, Types of Variables, Data, Types of Data

Lecture2,Branches of Statistics, Descriptive Statistics and Inferential Statistics

Lecture2,Branches of Statistics, Descriptive Statistics and Inferential Statistics

Lecture1-Definition of Statistics, Population, Sample, Parameter and Statistic with examples

Lecture1-Definition of Statistics, Population, Sample, Parameter and Statistic with examples