A researcher who wants to test the hypothesis that the population mean of a variable is 85, takes a sample of 50 people and obtains a sample mean of 81. A hypothesis test finds that the sample mean is not significantly different from the hypothesized population mean at 5% level of significance. What could be a 95% confidence interval for the population mean?

CI = (  28,28  - 1,96*σ ;  28,28 + 1,96*σ )

Step-by-step explanation:

Population mean      μ₀  = 85

Sample size   n  =  50

Sample mean   μ  = 81

Significance Level     α = 5 %    α  =  0,05

From Hypothesis Test

Null Hypothesis                         H₀         μ    =    μ₀

Alternative Hypothesis             Hₐ         μ    ≠   μ₀  

After a two taio-test was found no significative difference about the mean

Then  α/2  =  0,05/2   α/2 = 0,025

CI = 95 %     CI = 0,95

From z-table

z(c) = (±) 1,96

CI =  (  μ -  μ₀ ) ± z(c) * σ/√50

CI =  (  85 - 81 )*√50  ± 1,96 *σ

CI =  4*7,07   ± 1,96*σ

CI  =  (  4*7,07  - 1,96*σ ;   4*7,07  + 1,96*σ )

CI = (  28,28  - 1,96*σ ;  28,28 + 1,96*σ )

9.55 degrees.

step-by-step explanation:

the given angle is

1 cycle is equal to 2π radians. so 4π will be equal to two cycles.

5.166667π-4π = 1.166667π

hence, this angle goes a little more than negative x axis.

1.166667π-π= 0.166667π

hence, the reference angle is 0.166667π radians.

1 radian = 57.2958 degrees

now, in degrees, this should be equals to 9.55 degrees.

i think 1: 2

step-by-step explanation: