In: Statistics and Probability
12. Assume that a simple random sample has been selected from a normally distributed population and test the given claim. Identify the null and alternative hypotheses, test statistic, P-value, and state the final conclusion that addresses the original claim.
A safety administration conducted crash tests of child booster seats for cars. Listed below are results from those tests, with the measurements given in hic (standard head injury condition units). The safety requirement is that the hic measurement should be less than 1000 hic. Use a 0.01 significance level to test the claim that the sample is from a population with a mean less than 1000 hic. Do the results suggest that all of the child booster seats meet the specified requirement?
800,805,1326,644,621,592
What are the hypotheses?
a.Ho: µ > 1000 hic
H1: µ < 1000 hic
B.Ho: µ < 1000 hic
H1≥ 1000 hic
C.Ho: µ = 1000 hic
H1: µ ≥ 1000 hic
D. Ho: µ = 1000 hic
H1 µ < 1000 hic
Identify the test statistic.
T=
(Round to three decimal places as needed.)
Identify the P-value.
The P-value is ___
(Round to four decimal places as needed.)
State the final conclusion that addresses the original claim.
(Reject/fail to reject) H 0. There is (sufficient/insufficient) evidence to support the claim that the sample is from a population with a mean less than 1000 hic.
What do the results suggest about the child booster seats meeting the specified requirement?
A.There is not strong evidence that the mean is less than 1000 hic, and one of the booster seats has a measurement that is greater than 1000 hic.
B.The results are inconclusive regarding whether one of the booster seats could have a measurement that is greater than 1000 hic.
C.There is strong evidence that the mean is less than 1000 hic, but one of the booster seats has a measurement that is greater than 1000 hic.
D.The requirement is met since most sample measurements are less than 1000 hic
Sol:
Ho:
Ha:
alpha=0.01
use t.test function in R to get the t value and p value
Rcode is:
booster <- c(800,805,1326,644,621,592)
t.test(booster,mu=1000,alternative = "less",conf.level = 0.99)
output:
One Sample t-test
data: booster
t = -1.8036, df = 5, p-value = 0.06558
alternative hypothesis: true mean is less than 1000
99 percent confidence interval:
-Inf 1174.871
sample estimates:
mean of x
798
INTRePRETATION:
t=-1.804
p=0.0656
p>0.01
Fail to reject H0
State the final conclusion that addresses the original claim.
There is insufficient evidence to support the claim that the sample is from a population with a mean less than 1000 hic.
A.There is not strong evidence that the mean is less than 1000 hic,