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kifflom [539]
2 years ago
9

Which expression is equivalent to (3 x^ 2 - 7)​

Mathematics
1 answer:
Kay [80]2 years ago
5 0

Answer:

What are the posible answers for the question?

Step-by-step explanation:

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Help I need to know which one
Rufina [12.5K]

The best answer would be D

Because Rotational symmetry is a symmetric shape that can be rotated but appear the same.


7 0
3 years ago
Consider the rectangular prism.<br><br><br><br> What is the surface area of the rectangular prism?
bagirrra123 [75]
240 in 2 hope this helps
7 0
2 years ago
Read 2 more answers
May someone help me with this?
Colt1911 [192]

Answer:

30

Step-by-step explanation:

4 0
3 years ago
(CO 4) In a sample of 15 stuffed animals, you find that they weigh an average of 8.56 ounces with a standard deviation of 0.09 o
Masja [62]

Answer:

92% Confidence Interval = [8.515, 8.605]

Step-by-step explanation:

The number of samples given is 15,this less than 30, hence, we use the t score confidence Interval

= Mean ± t score × Standard deviation/√n

Mean = 8.56 ounces

Standard deviation = 0.09 ounces

n = 15

We find the degrees of freedom = n - 1

= 15 - 1 = 14

Using the T score table

T score for 92% confidence interval with degrees of freedom 14

= 1.8875

Hence:

Confidence Interval =

= 8.56 ± 1.8875 × 0.09/√15

= 8.56 ± 0.0454010035

Confidence Interval

8.56 - 0.0454010035

= 8.5145989965

≈ 8.515

8.56 + 0.0454010035

= 8.6054010035

≈ 8.605

92% Confidence Interval = [8.515, 8.605]

7 0
2 years ago
Heights for women are bell-shaped with a mean of 65 inches and standard deviation of 2.5 inches. If a random sample of 16 women
loris [4]

Answer:

μ= 65 inches; σ= 0.625 inch

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a normally distributed(bell-shaped) random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this problem, we have that:

\mu = 65, \sigma = 2.5

By the central limit theorem, the sample of 16 will have:

\mu = 65, \sigma = \frac{2.5}{\sqrt{16}} = 0.625

So the correct answer is:

μ= 65 inches; σ= 0.625 inch

8 0
2 years ago
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