Answer:
Explanation:
Number of completed barrels = 216 + (244-216)*60%
= 233 barrels
Cost per barrel = (3245+3230)/233 = 27.8
Cost of oil shipped in pipeline = 216 * 27.8= 6003 millions
Cost of work in process ending inventory = (244-216)*60% * 27.8
= 467.04 million
Answer:
The manufacturer should announce a guaranteed mileage of 44528 miles
Explanation:
Problems of normally distributed samples are solved using the z-score formula.
In a set with mean
and standard deviation
, the zscore of a measure X is given by:

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
In this problem, we have that:

What guaranteed mileage should the manufacturer announce
Only until the 5th percentile will have to be replaced, which is the value of X when Z has a pvalue of 0.05. So it is X when Z = -1.645.




The manufacturer should announce a guaranteed mileage of 44528 miles
Answer:
The labor cost per unit is lowest for China and is $0.40 per unit
Explanation:
Country Labor Wage per Day Wages per Production Labor cost
count per labor Day units per day per Unit
L w W=L×w P l=W÷P
Myanmar 7 $2.50 17.50 38 $0.46
China 9 $2.00 18.00 45 $0.40
Billings/ 4 $57.00 228.00 102 $2.24
Montana
The labor cost per unit is lowest for China and is $0.40 per unit
a) Null hypothesis (
) for merrill lynch customers are given as
Alternative hypothesis:
t = 1.992
<h3>
What is null hypothesis?</h3>
- Conjectures used in statistical tests, which are formal techniques for drawing conclusions or making judgments based on data, include the null hypothesis and the alternative hypothesis.
- The hypotheses, which are based on a sample of the population, are suppositions regarding a statistical model of the population. The tests are essential components of statistical inference and are frequently used to distinguish between statistical noise and scientific claims when interpreting experimental data in science.
- The null hypothesis, which is the statement being tested in a test of statistical significance, is typically a declaration of "no effect" or "no difference," and the test of significance is intended to evaluate the strength of the evidence against it
Know more about Null hypothesis
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Yes, this encourages the buyer to pay more for an item especially if it is by a well known branded. This gives them to opportunity to brag and boast with their purchase. Also when the product is well known consumers are going to try their absolute best to buy it, this is going to make the product scare, hence increasing its price.