The complete question is as follows:
The admission directory of Big City University has a novel idea. He proposed using the IQ scores of current students as a marketing tool. The university agrees to provide him with enough money to administer IQ tests to 50 students. So the director gives the IQ test to an SRS of 50 of the university’s 5000 freshman. The mean IQ score for the sample is xbar=112. The IQ test he administered is known to have a σ of 15. What is the 95% Confidence Interval about the mean? What can the director say about the mean score of the population of all 5000 freshman?
Answer: The 95% confidence interval about the mean is
.
The director can say that he is 95% confident that the mean IQ score of the 5000 freshmen lies between 107.84 and 116.16.
We follow these steps to arrive at the answer:
Since the population standard deviation of the IQ test is known, we can use the Z scores to find the confidence interval.
The formula for the confidence interval about the mean is:

In the equation above, X bar is known as the point estimate and the second term is known as Margin of Error.
The Critical Value of Z at the 95% confidence level is 1.96.
Substituting the values in the question in the equation above we have,



Answer:
Explanation:
exponential smoothing alpha = 0.5
formula = Previous demand x Alpha + previous forecast x (1 - alpha)
26 32 40 27 30
26 26 29 34.5 30.75
week 2 forecast
26x0.5 + 26x0.5 = 26.
week 3 forecast
32x0.5 + 26x0.5 = 29
use the same procedure for week 4 and week 5
week 6
30x0.5 + 30.75x0.5 = 30.375
Demand Forecast for week 6 = 30.38
Answer:
1. Sports Team Shirt - Excludable / Rivalrous
2. Air we breathe - Non - Excludable / Non - Rivalrous
3. Atlantic Bluefin Tuna - Non -Excludable / Rivalrous
4. A Toll Road - Excludable / Non - Rivalrous
Explanation:
A rivalrous good is one in which usage, by an individual limits the ability of another to use the same good. Rival goods are tangible. This means that they can be held or touched. Examples in this category are; A sports team shirt and, the Atlantic Blue Fin Tuna. Eating a Tuna would limit access to another person, who wants to eat Tuna at that point in time. The same would apply to wearing a sports shirt.
A Non - Rivalrous good is one in which usage by an individual does not limit consumption by another. Most non - tangible goods are non -
rivalrous. Examples in this category are; the air we breathe, and the Toll Road. Almost anyone can access these.
Excludable goods are only used after payment for them has been made. Examples are the Toll Road and the Sports Team Shirt.
Non - Excludable goods can be used even when payment has not been made. Examples are Air and The Atlantic Blue Fin Tuna which anyone can access.
Trade surplus or positive trade balance.
Both of these terms refer to the situation of higher exports than imports.
Answer:
0.60
Explanation:
The midpoint formula is used to calculate elasticity by using average percentage in both price and quantity.
The formula is given below:
Percentage change in quantity =<u> (Q2 -Q1) </u> x 100
(Q2 + Q1) / 2
Percentage change in price = <u> (P2 -P1) </u> x 100
(P2 + P1) / 2
Elasticity =<u> Percentage change in price__</u>
Percentage change in quantity
Inserting the data:
Percentage change in quantity =<u> (30 -20) </u> x 100 = <u>10</u> x 100 = 40%
(30 + 20) /2 25
Percentage change in price = <u>($20 - $10)</u> x 100 = <u>10</u> x 100 = 66.6%
($20 + $10) /2 15
Elasticity of supply = <u>40%</u>
66.6%
= 0.60