Answer:
P-value = .010444, this means it is statistically significant or probable that the proportion of people who are confident is larger than 70% at the 0.05 significance level.
Explanation:
Population proportion, p = 0.70
Number of people taken in a sample, n = 700
Sample proportion, = 0.74
State the hypotheses:
H
₀:p = 0.70
Hₐ
:p < 0.70
one-tailed test, we must calculate z test statistic:
z = ( - p) / √{[p(1 - p)]/n}
z = (0.74 - 0.70) / √{[0.70(1 - 0.70)]/700} = 2.31
z = 2.31
using a table we can find out P-value for Z = 2.31:
P-value = .010444, this means it is statistically significant or probable that the proportion of people who are confident is larger than 70% at the 0.05 significance level.
the right one is A <span>:)</span>
Answer:
Explanation:
He should work with the 50,000 hours estimate instead of the 40,000 in order to avoid shortage of funds during the business year
Answer:
The answer is:
1. Acquisition cost.
2. Estimated useful life to the company.
3. Estimated residual value at the end of the asset’s useful life to the company.
Explanation:
1. Acquisition cost/Purchase price: This is the amount at which the asset(s) was bought. The acquisition cost will include the original purchase price, the cost of transporting the asset to the factory etc. and subtract any purchases discount.
2. Estimated Useful life to the company: This is the number of years the purchased asset are estimated to last for. E.g fitting and furniture with an estimated value of 5 years while the equipment for production can be 7 years. This depends on the company policy though.
3. Estimated residual value: This is the amount of money the firm is expected to get from the asset after it has been fully depreciated.