Answer:
Original Sale Price = $6000
Explanation:
Lets say that the original Sale price is 100%. When the first discount is offered, the car is discounted by 10% and offered for 90% of the original price.
The second discount is offered as 20% off from the discounted sale price. Thus the car is now offered at,
Price after Second Discount = 90% * (1 - 20%) = 72% of the original price
Now the final discount is offered as further 25% off from the Second Discounted price which is already 72% of the original price. Thus the price after final discount will be,
Price after final discount = 72% * (1 - 25%) = 54% of the original price
We know the price after final discount is 54% of the original price and we are provided the amount as 3240. Thus if 54% of original price is 3240, then the original price will be,
Original Sale Price = 3240 * 100%/54%
Original Sale Price = $6000
If the processor has forwarding, but you forgot to implement the hazard detection unit and when the code executes, you need to control the signal. It is the signal that informs the new ALU. You should also perform the execution of the given codes.
<span> </span>
The r<span>ule of evidence would an attorney break if he or she were to ask a witness what rumors were being spread about the defendant is hearsay. Hearsay is the report from another person's words by the witness, usually disallowed in a court of law. </span>
<h2>Humbert <u>High internal </u>locus of control</h2>
Explanation:
Let us understand the term internal locus of control.
Internal locus is having a high belief on oneself. The term can be explained in deeper saying, a person belief himself that he is sole responsible for the result which is derived from his own action.
For eg:
Every person would be expecting his school results. So depending on the result like pass or fail, a person with high internal locus believe that, he has done well so he got pass, or he has not prepared properly so he failed.
Answer:
The answer is below.
Explanation:
The z score is a used in statistics to determine by how many standard deviations the raw score is above or below the mean. The z score is given by:
a) Given that n = 100, μ = 2000, σ = 18
For x < 1995 millimeters:
From the normal distribution table, P(x < 1995) = P(z < -2.78) = 0.0027
b) P(z > z*) = 10% = 0.1
P(z < z*) = 1 - 0.1 = 0.9
z* = 1.28
From the normal distribution table, P(z < z
