1. Courses
  2. MGT162

Quantitative Analysis for Management II

  • Teacher
    Faiza Asad
  • Category
    Management Sciences & Humanities
  • Course Code
    MGT162
  • Session
    Fall 2020

Course Material/Videos

Available Resources
15604 Lecture 1 - Testing for a Population Mean with a Population Standard Deviation Video Notes
15633 Lecture 1 - Testing for a Population Mean with a Population Standard Deviation Video Notes
15605 Lecture 2 - Testing for a Population Mean with a Known Population Standard Deviation- P value in hypothesis testing -Testing for a Population Mean with an Unknown Population Standard Deviation Video Notes
15634 Lecture 2 - Testing for a Population Mean with a Known Population Standard Deviation- P value in hypothesis testing -Testing for a Population Mean with an Unknown Population Standard Deviation Video Notes
15606 Lecture 3 - Hypothesis Testing a Single Population Proportion- Type two Error Video Notes
15635 Lecture 3 - Hypothesis Testing a Single Population Proportion- Type two Error Video Notes
15607 Lecture 4 - Hypothesis testing about the difference between two independent population means difference between two population proportions. Video Notes
15636 Lecture 4 - Hypothesis testing about the difference between two independent population means difference between two population proportions. Video Notes
20408 Lecture 11 - Two-way Analysis of Variance Video Notes
20409 Lecture 12 - Two-way Analysis of Variance- Block effect Video Notes
20410 Lecture 13 - Two way ANOVA calculation by using Excel Quiz Chapter 12 Video Notes
20411 Lecture 14 - Understand and interpret the terms dependent and independent variable. Calculate and interpret the coefficient of correlation Video Notes
20412 Lecture 15 - Regression Analysis Computation of Y-intercept, and Slop of the regressiop line Video Notes
20413 Lecture 16 - The Standard Error of Estimate Assumptions Underlying Linear Regression Video Notes
20414 Lecture 17 - Relationships among the Correlation Coefficient, the Coefficient of Determination, and the Standard Error of Estimate Video Notes
20415 Lecture 18 - Confidence Interval and Prediction Interval Estimates Y Video Notes

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