HELP. PLEASE. 1. State (hypotheses and parameter of interest)

2. Plan (check conditions and state type of inference)

3. Do (find the test statistic and P-value)

4. Conclude (give conclusion based on P-value)

We use
p
pp-values to make conclusions in significance testing. More specifically, we compare the
p
pp-value to a significance level
α
αalpha to make conclusions about our hypotheses.
If the
p
pp-value is lower than the significance level we chose, then we reject the null hypothesis
H
0
H
0
​
H, start subscript, 0, end subscript in favor of the alternative hypothesis
H
a
H
a
​
H, start subscript, start text, a, end text, end subscript. If the
p
pp-value is greater than or equal to the significance level, then we fail to reject the null hypothesis
H
0
H
0
​
H, start subscript, 0, end subscript, but this doesn't mean we accept
H
0
H
0
​
H, start subscript, 0, end subscript. To summarize:
p
-value
<
α
⇒
reject
H
0
⇒
accept
H
a
p
-value
≥
α
⇒
fail to reject
H
0

p-value<α
p-value≥α
​

⇒reject H
0
​
⇒accept H
a
​

⇒fail to reject H
0
​

​

Labor costs would be a large factor holding production of shade-grown coffee back. if it requires higher labor costs to receive a smaller benefit per hectare, then these costs would be prohibitive on expanding this practice to all coffee growing.

Ok , hopefully this app