Answer: It's the last one. If you ever need help with a question like that, just use the desmos graphing calculator. You just put the equation in and it shows you the graph would look for that equation.
To find the total amount earned, you need to multiply the number of hours worked by the pay rate. Joe worked x hours for 2 days. That’s 2x hours. He worked 8 hours for 2 days. That’s 8(2), or 16 hours. The total number of hours he worked is 2x + 16. He gets paid $9/hour, so an expression for the total amount earned is 9(2x + 16), or 18x + 144.
Answer:
2635.875pounds
Step-by-step explanation:
Converting all the units to pounds for unit consistency. Let's convert
1 1/4tons horse weight and 15ounce water bottle to pounds.
According to the conversion;
1 ton = 2000pounds
1 1/4 tons = (2000×5/4)pounds = 2500pounds
Similarly for the conversion of ounce to pounds;
1 ounce = 0.625pound
15 ounces of water bottle = (0.625×15)pounds
= 9.375pounds
The total weight of the horse, rider, and items in total will give;
2500pounds horse + 110pounds person + 9.375pounds water bottle + 16.5pounds basket
= 2635.875pounds
Using the Fundamental Counting Theorem, it is found that for each case, the total number of outcomes is:
a) 60,466,176.
b) 5,961,600.
<h3>What is the Fundamental Counting Theorem?</h3>
It is a theorem that states that if there are n things, each with
ways to be done, each thing independent of the other, the number of ways they can be done is:

Item a:
No restrictions, hence for each of the five characters, there are 36 outcomes, hence
.
Then, the possible number of passwords is:

Item b:
The letters and the digits have to be alternated, hence:
- Starting with a letter,
.
- Starting with a digit,
.
Then, the possible number of passwords is:

To learn more about the Fundamental Counting Theorem, you can take a look at brainly.com/question/24314866
Answer:
The probability is 
Step-by-step explanation:
From the question we are told
The population proportion is 
The sample size is 
The number of graduate who had job is k = 209
Generally given that the sample size is large enough (i.e n > 30) then the mean of this sampling distribution is

Generally the standard deviation of this sampling distribution is

=> 
=> 
Generally the sample proportion is mathematically represented as

=> 
=> 
Generally probability of obtaining a sample proportion as low as or lower than this, if the university’s claim is true, is mathematically represented as


From the z table the area under the normal curve to the left corresponding to -3.022 is

=> 