Answer:
$17 gives 100 utils
So, $1 gives 100/17 utils
which implies that $20 gives (100/17)*20 = 117.65
So additional utils = $117.65 - $100 = $17.65
Hence, $17.65 is the additional utils
Explanation:
The difference between the standard cost of a product and its actual cost is called a cost variance. Therefore the statement is true.
<h3>What is the objective of variance?</h3>
Changing across all of the pieces of information in a data set, variance is a measurement of distribution. It enables us to estimate how far away a set of factors are from each other.
To describe the variation or difference between the standard cost of a product and its actual cost the use of cost variance is done. It is utilized to estimate the financial performance of any project.
Therefore, the statement is True.
Learn more about Variance, here:
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Answer:
The answer is option C) Sampling Bias
Explanation:
A researcher who is conducting observations to test her own hypothesis may see or pay more attention to behavior that tends to support that hypothesis, so she must guard against observer bias
Observer bias is the tendency to allow how we feel or what we expect influence what we see.
As a researcher conducting observations to test her own hypothesis, it is possible that she may feel or think a certain way that will influence her observation.
knowledge of observation bias and how to guard against it will help her eliminate such error.
<span>With a period of 30 days, across 240 days there will be 240/30=8 separate periods where the population doubles. Therefore the population at the end of the time period will be the original, 26, times 2 raised to the 8th power, or 26*2^8 = 26*256=6656.</span>