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grandymaker [24]
3 years ago
9

Please Help No Links I Will Give You 5 Stars And Brainliest

Mathematics
2 answers:
zhuklara [117]3 years ago
8 0

Answer:

i think its 6

Step-by-step explanation:

im sorry if im wrong please mark me brainliest

Colt1911 [192]3 years ago
7 0
Bottom is 44, left is 82
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A consultant built an Einstein Analytics dashboard for a shipping company. The dashboard displays data from several data sources
anzhelika [568]

Answer: A (30)

Step-by-step explanation:

By defaults, data will be enabled in tens. And it increases by replicating the initial value.

There is no way the maximum number of dataflow definitions available in this situation will be 45, 25 or 35

The only possible replicant that can be available is 30

5 0
3 years ago
A customer paid $83.97 to rent a truck for 1 day. The rental company charged $34.99 per day and $0.79 per mile driven. Which equ
Nezavi [6.7K]

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5 0
3 years ago
5. AC bisects Angle BAD. Find the measure of angle BAC.
Diano4ka-milaya [45]
60 12×5 is 60 all you really need to look at is the 12
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4 years ago
The number x rounded to one decimal place is 5.7 write down the error interval for x
babymother [125]

Answer:

my no no place

Step-by-step explanation:

you are a human therefore I wana eat potatos

6 0
4 years ago
There are 120 students at Francis Howell North High School. Mr. Willott conducts a poll that asks 20 randomly selected students
Sophie [7]

Answer:

Yes

Step-by-step explanation:

The central limit theorem says that If a random variable X from a population has mean u and finite variance σ² , then the sampling distribution of the sample mean X~ approaches a normal distribution with mean u and variance σ²/n as the sample size n approaches infinity.

It is interesting to note that we have neither assumed that the distribution of X is continuous nor we have said anything about the shape of the distribution , whereas the limiting distribution of X is continuous and normal. Thus the distribution of the sample means  regardless of the shape of the population having a finite variance , is approximately normal with mean u and variance σ²/n .

Therefore

(standard deviation/ √sample size)²= variance / n

2/ √20

= 2/4.472

=0.44721

The sampling distribution of X` is therefore approximately normal with mean ux=u and σx =σ/n

6 0
3 years ago
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