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11111nata11111 [884]
4 years ago
6

How do i do this f(x) = -3(3) + 2

Mathematics
1 answer:
ANTONII [103]4 years ago
3 0
The answer is given above

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0 1 2 3 4 5 is an example of what set​
alisha [4.7K]

Step-by-step explanation:

<h2>A set which is not finite is called an infinite set. Example: A set of all whole numbers. A = {0,1,2,3,4,5,6,7,8,9……}</h2>
3 0
3 years ago
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Bro this is so simple but I don't know. At the party, jorden shared out all the loonies in his present. Altogether there was 47
katovenus [111]

Answer:

5 lollies are left over

Step-by-step explanation:

Total lollies Jordan has = 47

Number of boys at the party = 6

If the lollies are shared equally,

Number of lollies each boy gets = Total lollies ÷ number of boys

= 47 ÷ 6

= 7 lollies remainder 5

That is,

6 boys × 7 lollies each = 42 lollies

How many lollies were leftover.

Remaining lolly = Total lollies - shared lollies

= 47 - 42

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6 0
3 years ago
Determine which statement is true
Ganezh [65]

Answer:

C and A are true

Step-by-step explanation:

3 0
3 years ago
Qual é o resultado da multiplicação a seguir:
earnstyle [38]

Answer:

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4 0
3 years ago
Identify the type I error and the type II error for a hypothesis test of the indicated claim. The percentage of adults who retir
matrenka [14]

Answer:

<u>Type I error: </u>D. Reject the null hypothesis that the percentage of adults who retire at age 65 is less than or equal to 62 % when it is actually true.

<u>Type II error: </u>A. Fail to reject the null hypothesis that the percentage of adults who retire at age 65 is less than or equal to 62 % when it is actually false.

Step-by-step explanation:

A type I error happens when a true null hypothesis is rejected.

A type II error happens when a false null hypothesis is failed to be rejected.

In this case, where the alternative hypothesis is that "the percentage of adults who retire at age 65 is greater than 62%", the null hypothesis will state that this percentage is not significantly greater than 62%.

A type I error would happen when the conclusion is that the percentage is greater than 62%, when in fact it is not.

A type II error would happen when there is no enough evidence to claim that the percentage is greater than 62%, even when the percentage is in fact greater than 62% (but we still don't have evidence to prove it).

5 0
4 years ago
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