Suppose that you had consumer group wanted to test to see if weight of participants in a weight loss program changed (up or down). They computed a 95% confidence interval of the result (-4.977, 2.177). What do we know about the p-value for the test? Group of answer choices It would be less than 0.05. It would be greater than 0.05. It would be equal to 0.05. Can't be determined.

Step-by-step explanation:

Hello!

The study variable is: X: the weight of a participant in a weight loss program

And the parameter of interest is μ: population average weight of participants of a weight loss program

Suppose that the hypothesis of interest is:

H₀: μ≥μ₀

H₁: μ<μ₀

α:0.05

To be able to determine the p-value you need:

The hypothesized value for the population mean (μ₀)

The distribution under witch the CI was constructed (either Z or t)

The sample size.

Given the computed 95%CI alone, the p-value cannot be determined.

I hope this helps!

f is the midpoint of

hope it you

step-by-step explanation:

sin(7pi/6 - pi/3)  

= sin(7pi/6 - 2pi/6)  

= sin(5pi/6)  

= sin(pi - pi/6)  

= sin(pi/6)  

= 1/2  

sin 7pi/6 - sin pi/3  

= sin (pi + pi/6) - sin pi/3  

= -sin pi/6 - sin pi/3  

= -1/2 - sqrt(3)/2  

= -(1+sqrt(3))2