Answer:
Direct material quantity variance= $1,400 unfavorable
Explanation:
Giving the following information:
Direct material standard: 4 square feet at $2.80 per square foot
Direct material purchased: 34,000 square feet at $3.20 per square foot
Direct material consumed: 32,900 square feet
Manufacturing activity: 8,100 units completed
We need to use the following formula:
Direct material quantity variance= (standard quantity - actual quantity)*standard price
Standard quantity= 8,100 units*4= 32,400 feet
Actual quantity= 32,900
Direct material quantity variance= (32,400 - 32,900)*2.8= 1,400 unfavorable
In the product markets of the circular flow model, households provide <u>Consumption Spending (or Revenues) </u>to the business sector in exchange for goods and services.
Consumer spending is the total amount of the money spent by people and families in an economy on finished goods and services for their own use and enjoyment. All private purchases of durable, nondurable, and service products are included in modern measurements of consumer spending.
To help estimate and plan investment and policy decisions, investors, corporations, and regulators regularly monitor published statistics and reports on consumer spending.
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Answer: Hello below is the complete question
A survey of entrepreneurs focused on their job characteristics, work habits, social activities, leisure time, etc. One question put to each entrepreneur was, "What make of car (U.S., Europe, or Japan) do you drive?" The responses (number in each category) for a sample of 100 entrepreneurs are summarized below. The goal of the analysis is to determine if the proportions of entrepreneurs who drive American, European, and Japanese cars differ.
U.S. Europe Japan
40 35 25
In order to determine whether the true proportions in each response category differ, a one-way chi-square analysis should be conducted. Suppose the p-value for the test was calculated to be p=0.1738 . What is the appropriate conclusion to make when testing at α = 0.10?
Answer : The conclusion to be drawn is that We cannot reject the Null hypothesis if we use a one-way chi square analysis because at α = 0.1 from the chi-square tabulated p-value = 0.584 while the calculated /given p-value is = 0.1738
Explanation:
Data given:
p-value = 0.1738
α = 0.10
sample size = 100
U.S cars = 40, Europe cars = 35, Japan cars = 25
The conclusion to be drawn is that We cannot reject the Null hypothesis if we use a one-way chi square analysis because at α = 0.1 from the chi-square tabulated p-value = 0.584 while the calculated /given p-value is = 0.1738
Answer:
$32,160.00
Explanation:
Each of the expenses would be allocated as follows:
Advertising expense = (300,000/1,000,000) × 30,00 =9,000
Rent ( 3400/10,000 24000) × 24,000 = 8,160
Administrative expenses (8/24 × 45,000) = 15,000
Total expense allocated to Department B
= 9000+ 8160 + 15000
= $32,160.00
