Answer:
The statement is true
Explanation:
As a fact, I agree that with large sample sizes, even the small differences between the null value and the observed point estimate can be statistically significant.
To put it differently, any differences between the null value and the observed point estimate will be material and/or significant if the samples are large in shape and form.
It's also established that point estimate get more clearer and understandable, and the difference between the mean and the null value can be easily singled out if the sample size is bigger.
Suffix to say, however, while the difference may connote a statistical importance, the practical implication notwithstanding, will be looked and studied on a different set of rules and procedures, beyond the statistical relevance.
6.4%
200 from the 5% of 4000
140 from 4% on 3500
160 on 6.4% on 2500
Answer:
Residual income= $36,000
Explanation:
Residual income is the income that is generated in excess of the minimum required rate of return, which in this case is 10%. Any income above 10% return is considered as residual income. In this case the investment is 1,800,000 and 10% of that is 180,000 (0.1*1,800,000). So any income made above $180,000 will be residual income. In order to find the residual income we subtract the minimum income required from the actual income.
In this case the minimum income required is 180,000 and the actual operating income is 216,000 so residual income=
216,000-180,000= $36,000
