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t est to gather oation. The outut of this What is the p-value of this test? What is the conclusion? (3 credins) Assume that t


4. The FloridaLakes dataset describes characteristic of water samples taken at random Florida lakes. Acidity (pH) is given fo
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Answer #1

a.

p-value of the test = 0.61

Since p-value (=0.61) > 0.01 assumed significance level, we do not reject the null hypothesis that the sample is from normal distribution

b.

From the data

Given

\overline{x} = 6.59 ; \sigma = 1.20; n = 53

z = \frac{\overline{x} - \mu}{\frac{\sigma}{\sqrt{n}}} = \frac{6.59 - 7}{\frac{1.20}{\sqrt{53}}} = -2.4874

At 0.01 significance level, for a two-tail test z-critical value is 2.58

Since the calculated absolute value of z i.e., \left | z \right | = 2.4874 < z_{critical} = 2.58 we do not reject null hypothesis and infer that the population mean pH is 7

c.

From the data

Given

\overline{x} = 6.59 ; \sigma = 1.20; n = 53

z = \frac{\overline{x} - \mu}{\frac{\sigma}{\sqrt{n}}} = \frac{6.59 - 7}{\frac{1.20}{\sqrt{53}}} = -2.4874

At 0.01 significance level, for a left-tail test z-critical value is -2.33

Since the calculated absolute value of z i.e., z = -2.4874 < z_{critical} = -2.33 we reject null hypothesis and infer that the population mean pH is less than 7

5.

95% confidence interval for the population mean \mu is

(\overline{x} - z_{critical} \ast \frac{\sigma}{\sqrt{n}}{ , }\overline{x} + z_{critical} \ast \frac{\sigma}{\sqrt{n}})

At 95% confidence z-critical value is 1.96

Given

\overline{x} = 6.59 ; \sigma = 1.20; n = 53

95% confidence interval for the population mean \mu of pH is

= (6.59 - 1.96 \ast \frac{1.20}{\sqrt{53}}{ , }6.59 + 1.96 \ast \frac{1.20}{\sqrt{53}})

= (6.2669{ , }6.9131)

Interpretation:

We are 95% confident that the population mean pH is between 6.2669 and 6.9131

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t est to gather oation. The outut of this What is the p-value of this test? What is the conclusion? (3 credins) Assume that the distribution of the pH Sevel is normal with ox1.20. Test 7 ui...
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