Answer:
16
Step-by-step explanation:
9 divided by 144 gives you 16
Answer:
B
Step-by-step explanation:
The answer is “A” hope I helped
Answer:
theirs nothing to identify tho
Step-by-step explanation:
Solution:-
- The population proportion, P = 0.03 ( 3 % )
- The sample proportion, p = 0.058 ( 5.8 % )]
- The sample size , n = 85.
- State the hypothesis:
Null hypothesis : P = 0.03 ( 3 % )
Alternate hypothesis : P ≥ 0.03 ( 3 % )
- The rejection region is defined by the significance level α:
significance α = 0.05
Z-critical = Z_α = Z_0.05
p-value = Z_0.05 = 1.645
- The Z-statistics:
![Z = \frac{\sqrt{n}*(p - P ) }{\sqrt{P*(1-P)} }\\\\Z = \frac{\sqrt{85}*(0.058 - 0.03 ) }{\sqrt{0.03*(1-0.03)} }\\\\Z = 1.5132](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7B%5Csqrt%7Bn%7D%2A%28p%20-%20P%20%29%20%7D%7B%5Csqrt%7BP%2A%281-P%29%7D%20%7D%5C%5C%5C%5CZ%20%3D%20%5Cfrac%7B%5Csqrt%7B85%7D%2A%280.058%20-%200.03%20%29%20%7D%7B%5Csqrt%7B0.03%2A%281-0.03%29%7D%20%7D%5C%5C%5C%5CZ%20%3D%201.5132)
- Compare against the rejection value ( p - value ):
Z-critical = 1.645
Z-test = 1.5132
Z-test < Z-critical ... ( Null not rejected )
- We fail to reject the Null hypothesis, there is not enough evidence to support the manager's claim that the production process is out of control. Hence, we can support that the production process is not out of control.