Answer:
Expensre for the year is $205
Explanation:
The cosumable equipment which offices uses regularly for professional working writing recording etc. Company holds it's inventory and record it transactions in office supplies account.
Beginning Supplies = $0
Purchases for the year = $290
Supplies at December 31 = $85
As we know
Ending Balance = Beginning Balance + Purchases - Expense for the period
$85 = $0 + $290 - Expense for the period
$85 = $290 - Expense for the period
Expense for the period = $290 - $85 = $205
Answer:
They are definitely responsible.
Explanation:
Denis Arnold and Norman Bowie advocate for corporate responsibility in their article "Sweatshops and Respect for Persons" (Business Ethics Quarterly 13 - 2003).
<em>"MNE's have a moral duty to ensure their business partners respect employees by ensuring that human rights are not violated in the workplace."</em>
Corporations can't turn a blind eye on abuses committed in countries where they outsource their production.
<span>The Hyattsville country club requires that an applicant's grandfather be a member of the club in order to qualify for membership. because blacks were not allowed to join the club in the 1960s and 1970s, there are no black members today. this rule, which maintains the advantage for the dominant group, while providing the appearance of fairness to all is an example of: </span>Institutional Discrimination.
<em>Explanation</em>:
Second Quarter Sales budget
<u>Forecasted Physical Exam. (Basic at $95 per exam and Extended at $150)</u>
July
Basic > 240 =95*240=23,040
Extended > 165 = 150*165=25,200
August
Forecasted Physical Exam.
Basic > 250 = 95*250=23,750
Extended > 215 =150*215=32,250
September
Forecasted Physical Exam.
Basic > 80 =90*80 =7,200
Extended > 90 =150*90 =13500
Total Gross Sales
Basic=$53,990
Extended=$70,950
Answer:
P-value is greater than the significance level, we fail to reject null hypothesis.
Explanation:
Here,
Sample size = n = 120
Sample proportion = p = 0.6500
Population Proportion =
= 0.5
Level of significance = α = 0.02
<u />
<u>Step 1:
</u>
: p = 0.5
: p < 0.5 (Left tailed test)
<u></u>
<u>Step 2:
</u>
The critical vale is = 2.0537
<u></u>
<u>Step 3: </u>
The test statistic is,
z = 
<u>Step 5:
</u>
Conclusion using critical value: Since the test statistic value is greater than the critical value, we fail to reject null hypothesis.
<u>Step 6: </u>
Conclusion using P-value: Since the P-value is greater than the significance level, we fail to reject the null hypothesis.