1. If other factors are held constant, what is the effect of increasing the samp

Question

1. If other factors are held constant, what is the effect of increasing the sample variance?

A It will decrease the estimated standard error and decrease the likelihood of rejecting Ho.

B. It will decrease the estimated standard error and increase the likelihood of rejecting Ho

C It will increase the estimated standard error and decrease the likelihood of rejecting Ho

D it will increase the estimated standard error and decrease the likelihood of rejecting Ho

2. If the 90% confidence interval for u is from 40 and 50, then the sample mean is M= 45

True or False

Explanation / Answer

1. Now standard error=sample variance /sqrt(n)

If we increase variance, standard error will increase

Now for test statistics SE is denominator means increasing its value will decrease the test statistics

Now lower the test statistics will give greater p value, and result is not significant at p<alpha.

That means decreases the likelihood of rejecting H0

So answer is C and D as both the statements are same.

Related Questions

Navigate

• Browse (All)
• Browse 1
• Subjects

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.