Answer
The answer and procedures of the exercise are attached in the following image.
Explanation
Please consider the data provided by the exercise. If you have any question please write me back. All the exercises are solved in a single sheet with the formulas indications.
Just by reading the excerpt we can say that between October and December prices for beef were high. As were Janurary and March because they only sold 10,000 pounds between the months of October and December. July and September was a good month yet they still did not sell as much as they did Between the months of April and June. So the answer is C) April and June
Answer:
e. There is a deadweight loss at the given production level.
Explanation:
A deadweight loss, also known as excess burden or allocative inefficiency, is a loss of economic efficiency that can occur when the free market equilibrium for a good or a service is not achieved.
Answer:
Acme's current balance of accounts payable is $6000
Explanation:
The closing balance of accounts payable can be calculated using the opening balance and adjusting the changes during the period to the opening balance.
The closing balance can thus be calculated as:
Closing balance = Opening balance + Credit purchases - Payment to Accounts payable
Closing balance = 3000 + 4000 - 1000
Closing balance = $6000
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.
