Answer:
4.56%
Explanation:
From the given information:
In a c-chart limit
UCL = 
where;

UCL = 24
Then:




z
2.0
At z = 2.0, the value represents the probability of 95.44% of not making a Type 1 error.
This implies that the probability of making a Type 1 error = 1 - 95.44%
= 4.56%
I would calculate her return on investment by using this formula ((Profit from client's products - AdWords Expense)/Adword Expense * 100%). Therefore, you could achieve 42.85% (($1000-$700)/$700 * 100%) return on investment from your investment in the Adwords. The profit from the client's product is $1000 (10 * ($150-$50)).
Answer:
Objective Task Method
Explanation:
According to my research on different business strategies, I can say that based on the information provided within the question Nathan is using an Objective Task Method. This is a financial business strategy in which a company/business sets aside a specific set amount of money to use as it's marketing budget based on the objectives they are trying to accomplish. Which is exactly what Nathan is doing in this scenario.
I hope this answered your question. If you have any more questions feel free to ask away at Brainly.
Answer:
The beta of your portfolio is 0.9045
Explanation:
Hope this help :D
Answer:
Expected market return will be 10.97%
Explanation:
CAPM is method to calculates the expected return value using beta of the investment risk free rate and market premium of that investment.
According to CAPM
Expected Return Rate = Risdt free rate + Beta ( Market risk Premium)
Expected Return Rate = Risdt free rate + Beta ( Market Return - Risk free rate)
10.45% = 3.6% + 0.93 ( Market return - 3.6%)
10.45 - 3.60 = 0.93 ( Market return - 3.6%)
6.85 / 0.93 = Market return - 3.6%
7.37 + 3.60 = Market return
Market Return = 10.97%