Answer:
She lost $754.05.
Explanation:
Giving the following information:
Liz Mulig earns 52,000 per year as a philosophy professor. She receives a raise of 2.5% in a year in which CPI increases by 3.8%.
<u>The rise in her salary allows her to increase her purchasing power. On the contrary, inflation decreases purchasing power. We need to calculate the differences between both effects and determine whether she can buy more or less.</u>
<u></u>
Increase in salary= 52,000*1.025= $53,300
Inflation effect= 52,000/(1-0.038)= $54,054.05
To maintain her purchasing power, now, she needs to earn $54,054.05.
She lost $754.05.
Answer:
4 years
Explanation:
It takes 4 years to accumulate the required amount.
Complete Question:
Jon is a cash-basis taxpayer and has adjusted gross income of $40,000 in 2018. During the year he incurred and paid the following medical expenses.
Drugs and medicines prescribed by doctors $300
Health insurance premiums $750
Doctors' fees $2,250
Eyeglasses $75
How much medical expense can he deduct as itemized deduction?
Answer:
Jon
Medical expense that Jon can deduct as itemized deduction:
= $375
Explanation:
a) Data and Calculations:
Adjusted gross income = $40,000
Incurred medical expenses:
Drugs and medicines prescribed by doctors $300
Health insurance premiums $750
Doctors' fees $2,250
Eyeglasses $75
Total = $3,375
Under Tax Cuts and Jobs Act (TCJA), the medical expenses which can be deducted as an itemized deduction on the federal income tax return are only to the extent that they exceed 7.5% of adjusted gross income (AGI).
7.5% of $40,000 = $3,000
Therefore, Jon can itemize deduction of $375 in medical expense.
Answer:
When we get too hot, sweat glands in the skin release more sweat. The sweat evaporates, transferring heat energy from the skin to the environment.
The correct answer is - allows managers to use the normal distribution as the basis for building some control charts.
<u>Explanation:</u>
It is the theorem that allows inference from a random sample. It says that:
• The sample mean will likely be towards the population mean within a margin of error
• The margin of error is a multiple of the standard error, which is the standard deviation divided by the square root of the sample size. The multiple is determined by the degree of statistical confidence you’re looking for, and the normal deviate corresponding to that — 1.65 for 90% confidence, 1.96 for 95% confidence, etc.
