Hypothesis Testing by Edu Pristine

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About the Lecture

The lecture Hypothesis Testing by Edu Pristine is from the course Archiv - Quantitative Methods. It contains the following chapters:

  • What is meant by Hypothesis?
  • One-Tailed Test & Two-Tailed Test
  • Sampling Distribution
  • Test statistic
  • Statistical Result and Economically Meaningful result
  • Some Variations in Z-Test
  • Testing the equality of population means
  • Paired Comparisons Test

Author of lecture Hypothesis Testing

 Edu Pristine

Edu Pristine


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Excerpts from the accompanying material

... interpret the choice of the null and alternative hypotheses, and distinguish between one-tailed and two- tailed tests of ...

... "Hypothesis is a statement about the value of population parameter". It is stated in terms of the parameter that needs to be tested ...

... researcher wants to reject". Alternate Hypothesis (H a) is what is concluded if there is sufficient evidence to reject ...

... Conclusion". There are five ingredients to any statistical test - Null Hypothesis (H 0): The hypothesis that the researcher wants to reject - Alternate Hypothesis(H a): The hypothesis ...

... H 0 if: test statistic > upper critical value or test statistic < lower critical value. One-tailed test can be structured as: Upper tail: H 0: µ "d µ 0verses H a: µ > µ 0, or Lower tail: H 0: µ "e µ 0verses H a: µ ...

... of the test 1. State the Null and the alternate hypothesis 2. Select the appropriate test statistic 3. Specify the level of significance 4. State the decision rule regarding the hypothesis ...

... market. Mean household income = $20,000; Interest level for the course among the students = high current knowledge of students for the niche concepts = low amit strongly believes the course would adequately profit students if they can afford to buy the course. They would be able to afford the course only if the mean household income is greater than $19,000. Would you advice amit ...

... "Hint: P-value" What should be the hypothesis? "Hint: What is the point at which the decision changes (19,000 or20,000)?" What about the alternate hypothesis? What other information do you need to ensure that the right decision is arrived at? "Hint: confidence intervals/significance levels?" Hint: Is there any ...

... the sample data". If the mean population household income is greater than $19,000, with certain degree of confidence, then amit should introduce the product line into the ...

... $19,000". Amits decision making is equivalent to either accepting or rejecting the hypothesis: The population mean household income in the new market area is greater than $19,000 "The term one-tailed signifies that all z-values that would ...

... 5 10 Critical Value (X c) " Sample mean values greater than $19,000--that is x-values on the right-hand side of the sampling distribution centered on µ = $19,000 ...

... of 100 households is $4, 000. The standard error of the mean (s x) is given by: "Critical mean household income x c through the following two steps: 1. Determine the critical z-value, z c. For ða=0.05: ...