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MTH264
Statistical Inference
Teacher
Dr Shabbir Ahmad
Category
Management Sciences & Humanities
Course Code
MTH264
Session
Fall 2020
Course Material/Videos
Available Resources
19602
Lecture 1 - Fundamentals of Hypothesis Testing
Video
Notes
19603
Lecture 2 - Testing of Hypothesis for One Population Mean
Video
Notes
19604
Lecture 3 - Testing of Hypothesis for Difference of Two Population Means
Video
Notes
19605
Lecture 4 - Testing of Hypothesis for One Population Proportion P
Video
Notes
19606
Lecture 5 - Testing of Hypothesis for Difference of Two Population Proportions
Video
Notes
19607
Lecture 6 - Fundamentals of Estimation of Parameter
Video
Notes
19608
Lecture 7 - Interval Estimation for One Mean
Video
Notes
19609
Lecture 8 - Interval Estimation for Difference ofTwo Means
Video
Notes
19610
Lecture 9 - Interval Estimation for one Population Proportion
Video
Notes
19611
Lecture 10 - Interval Estimation for Difference of Two Population Proportions
Video
Notes
19612
Lecture 11 - Testing of Hypothesis about Population mean of paired data
Video
Notes
19613
Lecture 12 - Interval Estimation about Population mean of paired data
Video
Notes
19614
Lecture 13 - Testing One Population’s Variance or Standard Deviation
Video
Notes
19615
Lecture 14 - Interval Estimation for One Population’s Variance or Standard Deviation
Video
Notes
19616
Lecture 15 - Testing of Hypothesis for Uniform and Multinomial Proportions
Video
Notes
19617
Lecture 16 - Testing about Goodness of Fit (Binomial and Poisson).
Video
Notes
19618
Lecture 17 - Testing about the Independence of Attributes.
Video
Notes
19619
Lecture 18 - Testing for Equality of Two Population Variance (F)
Video
Notes
19620
Lecture 19 - Interval Estimation for Equality of Two Population Variances (F)
Video
Notes
19621
Lecture 20 - Testing of Hypothesis about more than Two Population Means (One Way ANOVA / CRD Design).
Video
Notes
19622
Lecture 21 - Testing of Hypothesis about more than Two Population Mean (Two Ways ANOVA / RCBD Design).
Video
Notes
19623
Lecture 22 - Summary/Review of Previous Lectures
Video
Notes