Answer:
Margin of Error decreases
Pvalue decreases
Power increases
Step-by-step explanation:
The margin of error decreases as sample size increases given the same level of confidence, hence, the interval gets narrower.
The margin of error = (Zcritical * σ/√n) ; where, n is the denominator, as the denomination increases, the obtained value will decrease, hence, the margin of error.
When we have a false H0, then we expect a statistical result which will reject H0, with all facts remaining unchanged , increase in sample size n, will lead to decrease in Pvalue, because a lower P value increases the significance of statistical test needed to reject H0.
The power of a fixed level test when the null hypothesis is true, higher power is required to reject the null , increasing n will increase the probability of rejecting H0, by increasing the power of a fixed level test.
Answer:
Step-by-step explanation:
during the day, it was -3.....at night it dropped 19 degrees...
so at night it is : (-3 - 19) = - 22 degrees Fahrenheit
Answer:
speaking giberish
Step-by-step explanation:
cos it is just a word that is rare
X=0 or all real numbers and the minimum value would be 5
Assuming it's for a polynomial function, this video explains a lot https://www.youtube.com/watch?v=OrLz7yide2g hope this helps:)
