Question

calcium is essential to tree growth. in 1990, the concentration of calcium in precipitation in chautauqua, new york, was 0.11 milligram per liter (mg/l). a random sample of 8 precipitation dates in 2018 results in the following data: 0.070, 0.108, 0.120, 0.262, 0.065, 0.234, 0.126, 0.087. a normal probability plot suggests the data could come from a population that is normally distributed. a boxplot does not show any outliers. does the sample evidence suggest that calcium concentrations have changed since 1990? use the α = 0.05 level of significance. what are the null and alternative hypotheses? h₀: dropdowns dropdowns box h₁: dropdowns dropdowns box (type decimals. do not round.)

Explanation:

Step1: Determine the parameter

The problem is about the population mean of calcium concentrations. The parameter is \(\mu\).

Step2: Set up the null hypothesis

The null hypothesis \(H_0\) assumes no change. So, \(H_0:\mu = 0.11\)

Step3: Set up the alternative hypothesis

The alternative hypothesis \(H_1\) is that there is a change. So, \(H_1:\mu
eq0.11\)

Answer:

\(H_0:\mu = 0.11\)
\(H_1:\mu
eq0.11\)