A GCF(or greates common factor) is exactly that the greates number taht can be used to divide both numbers. In this case 32 and -48 is 8 how do I know that because 8 times 4 is 32 and 8 times 6 is 48, now that you know that, I will leave unly the numbers that I used to multiply by 8 this would be 4 and 6, now that doesn't mean 8 is your GCF you have to check if your numbers can be simplified even more with another number well in this case yes 4 and 6 also share a common number ans this one is 2 4 divide by 2 is 2 and 6 divide by 2 is 3 now we are left with these numbers 2 and -3, now how do I know what was my GCF well this part is easy, just multiply the first number you used to divide times the second
E.J. in this case you would multiply 8 times 2 and this gives you 16... Now how do you know if this GCF is correct well multiply 16 times (2-3) usinf distributive property, 16 times 2 is 32 so we are good till now, and 16 times 3 is in fact -48 s our GCF is correct!!! this means 16(2-3) is our final answer
Hope this helps
Answer:
-2, 1, 4, 5
Step-by-step explanation:
there have a good day
In total she wants to get 4 gallons of punch
Three gallons of soda are needed for such a mixture, that means she as to add one gallon of fruit on the 3 gallons of soda to get 4 gallons of punch
That is 3/4 (soda) + 1/4 (Juice) = 0.75 Soda + 0.25 Juice
Hence she needs 0.25 of Juice or 25% of juice
Testing the conditions, we get that and , thus, this binomial experiment can be approximated using a normal distribution.
For each person sampled, there are only two possible outcomes. Either they believe in Hell, or they do not. The probability of a person believing in hell is independent of any other person, which means that the binomial distribution is used to solve this question.
Binomial distribution:
Probability of x successes on n trials, with p probability.
If and , it can be approximated to the normal distribution.
In this problem:
- Sample of size 100, thus .
- 58% believe in Hell, thus .
Then
and , thus, this binomial experiment can be approximated using a normal distribution.
A similar problem is given at brainly.com/question/24261244