Two questions:
what is the confidence level we are looking at?
also the p-value of .240.24? Is that a mistake in typing or is it .240 to the 24 decimal?
Generally, if the p-value is less than the confidence level (alpha) you reject the null hypothesis. The null hypothesis here is that the ads didn't nothing to help.
For instance, if the p-value were .240 and the alpha was .05 you would reject the null hypothesis and say that the ads may have had an effect on the outcome.
Answer:
Investment = 20,000
Return 2 = 5,000
Payment y3 = 8,000
Initial Investment = 20,000
NPV = -$5,881.89
Explanation:
Answer:
87%
Explanation:
The computation of the likelihood for high demand is as follows:
Given that
The high consumer demand probability = P(H) = 0.6
The low consumer demand probablity = P(L) = 0.2
The Probability of favorable survey response given high consumer demand = P(F ÷ H) = 0.9
And,
Probability of favorable survey response given low consumer demand = P(F ÷ L) = 0.2
Now, determine the probability of high demand that the market report is favorable = P(H ÷ F)
P(H ÷ F) = (P(F ÷ H) × P(H)) ÷ (P(F ÷ H) × P(H)) + (P(F ÷ L) × P(L))
= ((0.9) × (0.6)) ÷ ((0.9 × 0.6) + (0.2 × 0.4))
= 0.87096
= 0.87096 × 100
= 87%
The par value for shares of Apple is $0.000015
