Last answered:

01 Jun 2024

Posted on:

30 Dec 2023


Resolved: Incorrect questions as per the explanation

1. If we take status quo Ho in testing whether the height is above average or not then : 

Ho : my height is above the average height of the classmates. (status quo)

H1/Ha : my height is equal or less than the average height of the classmates. (change/rejection)

2. Similarly,

Ho : The Obama administration issued fewer executive orders than the Bush administration.

H1/Ha : The Obama administration issued atleast as many or fewer executive orders than the Bush administration.

Kindly rephrase the confusing questions/answers.

3 answers ( 1 marked as helpful)
Posted on:

04 Jan 2024


I agree with what you are saying above. The answers seem incorrect. I am also getting your answers as above. Can any lecturer clarify? This is confusing.

Posted on:

07 Jan 2024


I am still researching, I guess will need to go through multiple examples and other exercises to reach a conclusion, the matter on this course wont suffice, suggesting the same to the readers finding trouble in clarity.

Posted on:

01 Jun 2024


For question 1, The null hypothesis (H0) typically represents the default assumption or the status quo that you're testing against.
Here, you're starting with the assumption that your height is not significantly different from or possibly lower than the average height of your classmates.
This aligns with the idea that, by default, there's no reason to assume that your height is above average; so it's a conservative starting point for testing.

I think the problem with these questions are just how they are phrased; i think they need to be statements like I am taller than the average height in the classroom. becasue that is what a hypothesis is. statement that can be true until proven guilty like mentioned in the previous vid. but they way its phrased, makes it so that the null is that he isnt taller than the average

The alternative hypothesis is formulated to reflect the specific question or hypothesis you want to investigate. It's the statement that you're seeking evidence for, or trying to find support for, through statistical analysis.

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