When receiving a check from someone, you'll see that there are lines on the back. Those lines are for the check to be endorsed so you can cash it or deposit your money. Most of the time you'll just sign the back to endorse it and put it in your account or get money in return. However, there are special cases that can show where the money should go. Here are different types of endorsements:
1. Blank endorsements have just your signature on the back. Anyone can cash or deposit a check with this endorsement.
2. Restrictive endorsements have "For Deposit Only" on the first line, then your signature below that. This type of check can only be deposited, not to be cashed for money.
3. Special endorsements are for giving your check to another person. This check can only be deposited or cashed by the person designated on the back. For this endorsement, you would write "Pay to the order of" and then the person's name you want to give the check to. You would then sign your name underneath that.
As seen in your question, Isis Love is signing it as a special endorsement<em />. She is giving her check to Mike Lopez so his name follows "Pay to the order of". The numbers at the bottom would represent the bank account number.
The slope of x-y=8 is 1 because it's actually y = x-8
Parallel means the slope is equal to 1 as well.
Answer:
C) a positive correlation
Step-by-step explanation:
<em>More people ⇒ Longer time</em> is a positive correlation between those variables. However, <em>longer time</em> is not the desired outcome.
Rather, <em>shorter time</em> is the desired outcome. The correlation between <em>more people</em> and <em>shorter time</em> is negative. In order to compute that correlation numerically, one would have to define a function that would give a numerical value for "shorter time" that would model the goodness of outcome as time gets shorter.
Using the binomial distribution, it is found that there is a:
a) 0.9298 = 92.98% probability that at least 8 of them passed.
b) 0.0001 = 0.01% probability that fewer than 5 passed.
For each student, there are only two possible outcomes, either they passed, or they did not pass. The probability of a student passing is independent of any other student, hence, the binomial distribution is used to solve this question.
<h3>What is the binomial probability distribution formula?</h3>
The formula is:
The parameters are:
- x is the number of successes.
- n is the number of trials.
- p is the probability of a success on a single trial.
In this problem:
- 90% of the students passed, hence
.
- The professor randomly selected 10 exams, hence
.
Item a:
The probability is:
In which:
Then:
0.9298 = 92.98% probability that at least 8 of them passed.
Item b:
The probability is:
Using the binomial formula, as in item a, to find each probability, then adding them, it is found that:
Hence:
0.0001 = 0.01% probability that fewer than 5 passed.
You can learn more about the the binomial distribution at brainly.com/question/24863377
