Answer:
11.84% approx.
Step-by-step explanation:
Expected return = Respective return × Respective probabilities
= (18.5 × 0.71) + (-7.6 × 0.29)
= 10.931%
Probability Return Probability ×(Return - expected return)²
0.71 18.5 0.71×(18.5 - 10.931)² = 40.67573
0.29 -7.6 0.29×(-7.6 - 10.931)² = 99.585409
Total = 140.261139%
![SD=[\frac{\text{total probability(return-expected return)}^2}{\text{total probability}}]^{(\frac{1}{2})}](https://tex.z-dn.net/?f=SD%3D%5B%5Cfrac%7B%5Ctext%7Btotal%20probability%28return-expected%20return%29%7D%5E2%7D%7B%5Ctext%7Btotal%20probability%7D%7D%5D%5E%7B%28%5Cfrac%7B1%7D%7B2%7D%29%7D)
= ![[\frac{140.261139^2}{140.261139}]^{\frac{1}{2} }](https://tex.z-dn.net/?f=%5B%5Cfrac%7B140.261139%5E2%7D%7B140.261139%7D%5D%5E%7B%5Cfrac%7B1%7D%7B2%7D%20%7D)
= 11.84319 ≈ 11.84% approx.
We can’t see the whole graph
Answer:
8.1240384 i
Step-by-step explanation:
Answer: It is the third to the top
Step-by-step explanation:
90's block each other out add you rotate it 180 degrees you get this.
Answer:
C. We have made a correct decision
Step-by-step explanation:
Hypotheses are:
: mu is less than or equal to 47
: mu is greater than 47
Type I error happens when we reject the null hypothesis but the null hypothesis was true
Type II error happens when we fail to reject the null hypothesis but the null hypothesis was wrong.
In this example we concluded that <em>mu is greater than 47,</em> thus we reject the null hypothesis. Since true mean is 52, this conclusion is true. We have made a correct decision