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Nataliya [291]
3 years ago
5

1. The department of nature resources reports that a fish is unsafe to eat if the polychlorinated biphenol (PCB) concentration e

xceeds 4.0 parts billion (ppb). 10 fish were taken randomly from a local lake and the value of the PCB concentration for each fish was measured. The data are listed blow. 2.9 7.6 4.8 5.2 5.1 4.7 6.9 4.9 3.7 3.8 Let µ = the true mean value of the PCB concentration for all the fish in the lake. We want to test to determine whether the fish from this lake should not be eaten. Write down the null and alternative hypotheses
Mathematics
1 answer:
Hitman42 [59]3 years ago
3 0

Answer:

H0 rejected as μ>4

and a fish is unsafe to eat from the lake.

Step-by-step explanation:

1)Let the null hypothesis be  H0 : mu ≤4 against the alternate Ha: mu > 4 ppb

H0: μ ≤4   against the claim Ha:  μ>4

2) X`= ∑x/ n= 2.9 +7.6+ 4.8+ 5.2+ 5.1+ 4.7+ 6.9+ 4.9+ 3.7+ 3.8/10

= 49.6/10= 4.96

The standard deviation can be calculated  sigma= 1.344767 ( using statistic calculator)

3) The significance level is taken to be  ∝=0.05

The value of z at 0.05 for 1 sided test is z >± 1.645

i.e the critical region is less than - 1.645 and greater than +1.645

4) Taking the distribution to be approximately normal

Z= x`- u / s/ √n

Z= 4.96-4/ 1.345/10

Z= 4.96-4/ 1.345/3.1622

Z= 0.96/0.4253

Z= 2.257

5) Since the calculated value of z = 2.257 falls in the critical region we reject our null hypothesis and conclude that true mean value of the PCB concentration is greater than 4 (ppb) and that a fish is unsafe to eat from the lake.

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Answer:

The correct 95% confidence interval is (8.4, 8.8).

Step-by-step explanation:

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(a)

The (1 - <em>α</em>)% confidence interval for population mean (<em>μ</em>) is:

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The (1 - <em>α</em>)% confidence interval for the parameter implies that there is (1 - <em>α</em>)% confidence or certainty that the true parameter value is contained in the interval.

The 95% confidence interval for the mean rating, (8.4, 8.8) implies that the true there is a 95% confidence that the true parameter value is contained in this interval.

The mistake is that the student concluded that the sample mean is contained in between the interval. This is incorrect because the population is predicted to be contained in the interval.

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The (1 - <em>α</em>)% confidence interval for population parameter implies that there is a (1 - <em>α</em>) probability that the true value of the parameter is included in the interval.

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Thus, the students is not making any misinterpretation.

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According to the Central Limit Theorem if we have a population with mean <em>μ</em> and standard deviation <em>σ</em> and we take appropriately huge random samples (<em>n</em> ≥ 30) from the population with replacement, then the distribution of the sample mean will be approximately normally distributed.

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