Let x be a random variable that represents micrograms of lead per liter of water (µg/L). An industrial plant discharges water into a creek. The Environmental Protection Agency (EPA) has studied the discharged water and found x to have a normal distribution, with
σ = 0.7 µg/L.
† Note: For degrees of freedom d.f. not in the Student's t table, use the closest d.f. that is smaller. In some situations, this choice of d.f. may increase the P-value a small amount and thereby produce a slightly more "conservative" answer.
(a) The industrial plant says that the population mean value of x is
μ = 2.0 µg/L.
However, a random sample of
n = 10
water samples showed that
x = 2.52 µg/L.
Does this indicate that the lead concentration population mean is higher than the industrial plant claims? Use
a = 1%.
(i) What is the level of significance?
State the null and alternate hypotheses.
H0: μ = 2.0; H1: μ > 2.0H0: p = 2.0; H1: p ≠ 2.0 H0: p = 2.0; H1: p > 2.0H0: p = 2.0; H1: p < 2.0H0: μ = 2.0; H1: μ ≠ 2.0H0: μ = 2.0; H1: μ < 2.0
(ii) What sampling distribution will you use? What assumptions are
you making?
The Student's t, since we assume that x has a normal distribution with unknown σ.The standard normal, since we assume that x has a normal distribution with unknown σ. The Student's t, since we assume that x has a normal distribution with known σ.The standard normal, since we assume that x has a normal distribution with known σ.
What is the value of the sample test statistic? (Round your answer
to two decimal places.)
(iii) Find (or estimate) the P-value.
P-value > 0.5000.250 < P-value < 0.500 0.100 < P-value < 0.2500.050 < P-value < 0.1000.010 < P-value < 0.050P-value < 0.010
Sketch the sampling distribution and show the area corresponding to
the P-value.
(iv) Based on your answers in parts (i) to (iii), will you reject
or fail to reject the null hypothesis? Are the data statistically
significant at level α?
At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.At the α = 0.01 level, we reject the null hypothesis and conclude the data are not statistically significant. At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are statistically significant.At the α = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant.
(v) Interpret your conclusion in the context of the
application.
There is sufficient evidence at the 0.01 level to conclude that the population mean discharge level of lead is higher.There is insufficient evidence at the 0.01 level to conclude that the population mean discharge level of lead is higher.
(b) Find a 95% confidence interval for μ using the sample data and
the EPA value for σ. (Round your answers to two decimal
places.)
lower limit | µg/L |
upper limit | µg/L |
(c) How large a sample should be taken to be 95% confident that the
sample mean
x
is within a margin of error
E = 0.3 µg/L
of the population mean? (Round your answer up to the nearest
whole number.)
water samples
level of significance =0.01
H0: μ = 2.0; H1: μ > 2.0
ii)
The standard normal, since we assume that x has a normal distribution with known σ.
test stat z = '(x̄-μ)*√n/σ= | 2.35 |
iii)
P-value < 0.010
iv) At the α = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant.
v)
There is sufficient evidence at the 0.01 level to conclude that the population mean discharge level of lead is higher.
b)
for 95 % CI value of z= | 1.960 | |
margin of error E=z*std error = | 0.43 | |
lower bound=sample mean-E= | 2.09 | |
Upper bound=sample mean+E= | 2.95 |
c)
for95% CI crtiical Z = | 1.960 | |
standard deviation σ= | 0.7 | |
margin of error E = | 0.3 | |
required sample size n=(zσ/E)2 = | 21 |
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