The time (in number of days) until maturity of a certain variety
of tomato plant is normally distributed with mean = 30 days to
mature and standard deviation = 2.4. I select a simple random
sample of four plants of this variety and measure the time until
maturity. The four times, in days, are: 39, 36, 32, 33.
Conduct the hypotheses test and state the conclusion at
0.1significance level of the test if the maturity time is more than
claimed.
Show work
Here, we have to use one sample z test for the population mean.
The null and alternative hypotheses are given as below:
H0: the maturity time is equal to claimed value of 30 days.
Ha: the maturity time is more than claimed value of 30 days.
H0: µ = 30 versus Ha: µ > 30
This is an upper tailed test.
The test statistic formula is given as below:
Z = (Xbar - µ)/[σ/sqrt(n)]
From given data, we have
µ = 30
Xbar = 35
σ = 2.4
n = 4
α = 0.1
Critical value = 1.2816
(by using z-table or excel)
Z = (35 – 30)/[2.4/sqrt(4)]
Z = 4.1667
P-value = 0.0000
(by using Z-table)
P-value < α = 0.10
So, we reject the null hypothesis
There is sufficient evidence to conclude that the maturity time is more than claimed value of 30 days.
Get Answers For Free
Most questions answered within 1 hours.