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WARRIOR [948]
3 years ago
8

Help (10 points ) ;)

Mathematics
2 answers:
joja [24]3 years ago
7 0

Answer:

c

Step-by-step explanation:

bagirrra123 [75]3 years ago
6 0

the answer is c because u have to figure out jose's cat's weight first then add it to figure out esperanza's cat's weight.

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I will give brainliest if applicable
insens350 [35]

Answer:

The average is exactly 26,375 gallons of gas per hour.

How I found this is buy subtracting each numbers like 422,000 - 369,250 = 52,750. 369,250 - 316,500 = 52, 750 and so on. They all ended up being 52,750, but then I realized that they are all 2 hours apart and the question asks of gallons of gas per 1 hour so then I divided 52,750 in half and got my final answer, 26,375.

Step-by-step explanation:

This is how much gas the jet uses per 1 hour

my question doesn't ask me to create a linear model but it asks for gasoline per hour, and it's just like this question with the same graph so if you have the same as me this is the answer.

8 0
2 years ago
How does a Nine and thirty six hundredths with a decimal point
Harrizon [31]
9.36

Hope this helps you!
6 0
3 years ago
Read 2 more answers
The arrow on the spinner is to be spun once. What is the probability that the arrow will stop on 2? A.1/2 B.1/3 C.1/4 D.1/6
lara31 [8.8K]
How many numbers are on there? And how many times does 2 appear on the spinner?
8 0
3 years ago
For each given p, let Z have a binomial distribution with parameters p and N. Suppose that N is itself binomially distributed wi
8090 [49]

Explanation:

Lets interpret Z with M trials. First we have M trials, each trial can be a success or not. The number of success is called N. Each trial that is a success becomes a trial, and if it is a success it becomes a success for Z. Thus, in order for a trial to be successful, it needs first to be successful for the random variable N (and it is with probability q), and given that, it should be a success among the N trials of the original definition of Z (with probability p).

This gives us that each trial has probability pq of being successful. Note that this probability is pq independently of the results of the other trials, because the results of the trials of both N and the original definition of Z are independent. This shows us that Z is the total amount of success within M independent trials of an experiment with pq probability of success in each one. Therefore, Z has Binomial distribution with parameters pq and M.

7 0
3 years ago
A T-shirt launcher can launch 105 shirts in 20 minutes. What is the rate in shirts per hour?
Margarita [4]

The T-shirt launcher can launch 315 shirts per hour.

4 0
3 years ago
Read 2 more answers
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