I think this is a true or false question
The above statement is true.
As we can see that there are always some sort of affinity among people some have highly positive towards some and negative towards others so they will try to group up with the ones they like but this would always lead to dissatisfaction of some people in group as they will feel unfair as they are not in group they wanted but in random assignment no one has control so even if they are unsatisfied they cant blame it on others. So there are lesser differences
Answer:
Suppose Y is a random variable with mu Subscript Upper YμY = 0, and sigma Subscript Upper Y Superscript 2σ2Y = 1, skewness = 0, and kurtosis = 100.
n random variables drawn from this distribution might have some large outliers due to the reason that there might be some outliers because the kurtosis of the distribution equals 100..
Option A.
Explanation:
From the question, the rate of the description of the data given will not give rise to outliers in the random sample drawn from the population.
Therefore, there might be some outliers because the kurtosis of the distribution equals 100 - Option A.
Answer:
B), C) and F)
Explanation:
Microeconomics refers to the study of individuals, households, firm behavior for making the decision and distribution of resources. It is useful for the markets that offered goods and services and also handle an individual and economic issues
Therefore in the given case, the microeconomics covered in B, C and F options
Answer:
Variable overhead efficiency variance= $19,952 unfavorable
Explanation:
Giving the following information:
Standard hours per unit of output 5.2 hours
Standard variable overhead rate $11.60 per hour
Actual hours 2,500 hours
Actual output of 150 units
<u>To calculate the variable overhead efficiency variance, we need to use the following formula:</u>
Variable overhead efficiency variance= (Standard Quantity - Actual Quantity)*Standard rate
Standard quantity= 5.2*150= 780
Variable overhead efficiency variance= (780 - 2,500)*11.6
Variable overhead efficiency variance= $19,952 unfavorable
