The height of corn stalks (in cm) have a N(μ1,σ1) distribution, while the height of Nebraska corn stalks have a N(μ2,σ2) distribution. It is known that σ1 ̸= σ2. A random sample of corn stalks from Iowa and Nebraska yielded the following summary statistics. Iowa: n1 =15 x ̄1 =155 s1 =16 Nebraska: n2 =17 x ̄2 =145 s2 =10 Suppose we wish to test H0 : μ1 = μ2 versus Ha : μ1 ̸= μ2 at the α = 0.10 significance level. What is the value of the test statistic (TS) and critical value (CV )? TS=2.09, CV=1.697 TS=2.09, CV=1.645 TS=2.15, CV=1.697 TS=2.15, CV=1.717 TS=2.15, CV=1.645 TS=2.09, CV=1.717
Rate of Change
The relation between two quantities which displays how much greater one quantity is than another is called ratio.
Slope
The change in the vertical distances is known as the rise and the change in the horizontal distances is known as the run. So, the rise divided by run is nothing but a slope value. It is calculated with simple algebraic equations as:
The height of corn stalks (in cm) have a N(μ1,σ1) distribution, while the height of Nebraska corn stalks have a N(μ2,σ2) distribution. It is known that σ1 ̸= σ2. A random sample of corn stalks from Iowa and Nebraska yielded the following summary statistics.
Iowa: n1 =15 x ̄1 =155 s1 =16 Nebraska: n2 =17 x ̄2 =145 s2 =10
Suppose we wish to test H0 : μ1 = μ2 versus Ha : μ1 ̸= μ2 at the α = 0.10 significance level. What is the value of the test statistic (TS) and critical value (CV )?
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