Step 2 of hypothesis testing involves reviewing the assumptions
of 2 sample t-test. Discuss the three assumptions of the t-test.
Provide an example of the assumption that is not robust to
violations and a situation when the assumption is violated.
Discuss in not more than 100 words the purposes of hypothesis
testing in quantitative research. Illustrate your answers with at
least one example in the construction industry.
Hypothesis Testing (One Sample- proportion)
using the 5 step process:
Use hypothesis testing to test the claim that the percentage of
women who use Cannabis on a regular basis is more than 26%. A
random sample of 200 women found that 64 of them used Cannabis on a
regular basis. Use a level of significance of 0.10.
Explain what one-sample hypothesis testing is used for and why
it is used
Provide three specific examples of situations in which a person
within a business setting would use hypothesis tests and why they
should be used in those situations
Explain what two-sample hypothesis testing is used for and why
it is used
Provide three specific examples of situations in which a person
within a business setting would use hypothesis tests and why they
should be used in those situations
a. What is hypothesis testing in statistics? Discuss
b. Does Type I error being considered more serious than Type II
error? Explain
c. What is the p-value of a test? Give an example
a. What is hypothesis testing in statistics? Discuss
b. Does Type I error being considered more serious than Type II
error? Explain
c. What is the p-value of a test? Give an example
Discuss the relationship between UAS carrier platform and the
sensor.
Name three uses, cases, or applications where a UAS with a
specific sensor can save lives or prevent harm for humans.
Name three uses, cases, or applications where a UAS with a
specific sensor can save time by being faster than the conventional
application.
Name three uses, cases, or applications where a UAS with a
specific sensor can save money by being cheaper than the
conventional application.
(a) Discuss briefly the principles behind maximum
likelihood.
(b) Describe briefly the three hypothesis testing procedures that
are available
under maximum likelihood estimation. Which is likely to be the
easiest
to calculate in practice, and why?
(c) OLS and maximum likelihood are used to estimate the parameters
of a
standard linear regression model. Will they give the same
estimates?
Explain your answer.