Because only young adults were sampled, undercoverage bias may cause the newspaper to overestimate the proportion of all adults who have college debts.
<h3><u>What is bias in sampling?</u></h3>
When a sample is chosen in statistics, sampling bias is a bias that causes some individuals of the target population to have a lower or greater sampling probability than others. As a result, not every person or event was equally likely to have been chosen, resulting in a biased sample of a population (or non-human variables).
If this is not taken into consideration, results may be incorrectly attributed to the sampling procedure rather than the phenomenon being studied. Although some people identify sampling bias as a distinct sort of prejudice, sampling bias is typically categorized as a subtype of selection bias, sometimes referred to as sample selection bias.
Learn more about sampling bias with the help of the given link:
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First, calculate the discount.
15% of 1250 is 187.5
Then, subtract 187.5 from 1250.
You get 1062.5
Next, to calculate the sales tax. I'm not 100% sure if you're supposed to do this before the discount or after, I'm just assuming after.
Anyway,
6.5% of 1062.5 is approxamately 69.06.
Add that to 1062.5 to get the final answer of $1131.56
Answer:
$7.60 per unit of output
Explanation:
Budgeted output units 51,000 units
Budgeted machine−hours 10,200 hours
Budgeted variable manufacturing overhead costs for 51,000 units $387,600
budgeted variable overhead cost per unit of output = $387,600 / 51,000 units = $7.60 per unit of output
In this case, the applied variable overhead rate = 35,750 units x $7.60 = $271,700, which would have been under-applied since the actual variable overhead costs were much higher, $328,900.
Answer:
Sabrina’s Soccer has a comparative advantage over Stan’s Sporting Goods because Sabrina’s Soccer has a lower opportunity cost.
