Answer:
70°
Step-by-step explanation:
every triangle has a total of 180°, therefore 180-80-30=70°
i apologize if my answer is incorrect!
Those two vehicles are chewing up a lot of ground. Do you drive? I know it's a stupid question. Every American drives, but I have to check. When you see a car coming towards you, does it look like it's going extremely slow, so that 9 could be the answer? Or does it look extremely fast so that 67 could be the answer? I think you should be looking at fast. I live in the country so when something comes towards me I take note of it. So you should be thinking the Impala sees the bug as going north and very fast..
B
Note. The 9 would come up when someone was passing you and they were going 9 mph faster than you were going. If you were going 50 mph and someone passed you at 59 mph. it would appear to you that they were only going 9 mph. Next time you encounter this on the road, see if you agree that that is the way it works.
Answer: Total amount earned is $647.68
Step-by-step explanation:
He worked 3 days at his previous salary of $16/hour. If he works 8 hours per day, then the amount he earned working at the previous salary is
16 × 8 × 3 = $384
This week, Mister Campanello got an increase in his salary of 3%. It means that the amount by which his salary increased is
3/100 × 16 = $0.48
His new salary would be
16 + 0.48 = $16.48
If he worked for 2 days at his new salary, then the amount he earned working at the new salary is
16.48 × 8 × 2 = $263.68
Total amount earned is
384 + 263.68 = $647.68
<em>Choice-A</em> is the answer to this math problem.
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.
