The population of adults with tablets and/or smartphones get an average of 6 hours (µ = 6 and σ = 2) of sleep a night. To see whether electronic use was interfering with sleep, researchers had a sample of 25 adults turn off their smartphones and tablets 1 hour before going to bed. This sample got an average of 6.9 hours of sleep a night. Assuming the population is normally distributed, use an alpha of .05 to test the hypothesis that turning off their electronics early increased the number of hours of sleep they got.
A.Specify the null and alternative hypotheses
B. Report the critical value, the SE, and the test statistic
C.Report your decision in a sentence
D. What type of error did you risk making?
Solution:
A. Specify the null and alternative hypotheses
Here, we have to use one sample z test for the population mean.
Null hypothesis: H0: Turning off tablets and/or Smartphone’s early do not increase the number of hours of sleep.
Alternative hypothesis: Ha: Turning off tablets and/or Smartphone’s early increased the number of hours of sleep.
H0: µ = 6 versus Ha: µ > 6
This is an upper tailed (one tailed) test.
B. Report the critical value, the SE, and the test statistic
We are given
Level of significance = α = 0.05
So, critical value by using z-table is given as below:
Critical Z value = 1.6449
SE = σ/sqrt(n)
We are given σ = 2, n = 25
SE = 2/sqrt(25) = 0.4000
Test statistic = Z = (Xbar - µ) / [σ/sqrt(n)]
Test statistic = (6.9 – 6)/[2/sqrt(25)]
Test statistic = 0.9/0.4
Test statistic = 2.25
C. Report your decision in a sentence
From above test statistic, we have
P-value = 0.0122
(by using z-table)
P-value < α = 0.05
Or
Test statistic = 2.25 > Critical Z value = 1.6449
So, we reject the null hypothesis
There is sufficient evidence to conclude that turning off tablets and/or Smartphone’s early increased the number of hours of sleep.
D. What type of error did you risk making?
We are making risk of type I error for the above test, because we reject the null hypothesis for above test.
Get Answers For Free
Most questions answered within 1 hours.