Answer: A: the time required for monetary policies to take effect
Explanation:
The impact lag also known as the response lag is the time it takes for corrective monetary and fiscal policies, designed to smooth out the economic cycle or respond to an adverse economic event, to affect the economy once they have been implemented.
For instance, during the last recession, several policies were introduced by the government to manage the situation . The time it takes for the citizens to feel the impact of these policies is known as the impact lag phase.
Answer:
$ 2 per unit on average
Explanation:
Calculation for what the financial advantage (disadvantage) of purchasing the parts from the outside supplier would be:
First step is to calculate the Relevant cost of making
Relevant cost of making = 9 + 7 + 1 + ( 5 * 80 % ) Relevant cost of making= $ 21
Now let calculate the Financial advantage of buying
Financial advantage of buying = ( 21 - 19 )
Financial advantage of buying= $ 2 per unit on average
Therefore the financial advantage (disadvantage) of purchasing the parts from the outside supplier would be:$ 2 per unit on average
Answer:
The answer is below
Explanation:
The z core is used to determine by how many standard deviations the raw score is above or below the mean. The z score is given by:
, x = raw score
Given that mean (μ) = 15 minutes per car, standard deviation (σ) = 2.4 minutes.
1) For x > 18:
From normal distribution table, P(x > 18) = P(z > 1.25) = 1 - P(z < 1.25) = 1 - 0.8944 = 0.1056
2) For x < 10:
From normal distribution table, P(x < 10) = P(z < -2.08) = 0.0188
3) For x > 12:
For x < 16:
From normal distribution table, P(12 < x < 16) = P(z < 0.42) - P(z < -1.25) = 0.6628 - 0.1056 = 0.5572
Answer:
3. the sampling distribution of the sample mean is normally distributed.
5. the value of the sample mean varies from sample to sample.
Explanation:
We develop confidence interval for population mean because
a. the sampling distribution of the sampling mean is normally distributed. For us to do this we must first ensure that the sample mean is large enough
B. The value of the sample mean is not the same for all samples it varies from sample to sample. Therefore it it is better that an internal is given with the probability that the parameter falls into it.
