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NeTakaya
3 years ago
10

Find the value of 7⁴​

Mathematics
2 answers:
Mandarinka [93]3 years ago
7 0
I think 2401...I just asked Siri
nydimaria [60]3 years ago
5 0

Answer:

2401

Step-by-step explanation:

Because 7x7x7x7 is 2401, you’re supposed to multiply 7 by it’s exponent, and in this case, its 4. So multiply, 7 four times.

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What is 6/5 divided by 4/3
Anna007 [38]

Answer:

9/10

Step-by-step explanation:

5 0
3 years ago
An ant moves forward 18 1⁄2 inches in one hour. It turns around and crawls
zvonat [6]

Answer:

The ant moved 10.75 in after three hours

Step-by-step explanation:

18.5-13.5=5+5.75=10.75

46/8=5.75

7 0
3 years ago
Read 2 more answers
When finding the margin of error for the mean of a normally distributed population from a sample, what is the critical probabili
svlad2 [7]

Critical probability is the essentially cut-off value. The critical probability when the confidence level of 58% is 0.79.

<h3>What is the critical probability?</h3>

Critical probability is the essentially cut-off value that defines the region where the test statistic is unlikely to lie.

As it is given that the confidence level is 58%. therefore, in order to calculate the critical probability, we need to calculate the margin of error within a set of data, and  it is given by the formula

\rm Critical\ Probability, (P*) = 1-\dfrac{\alpha }{2}

where the value of the α is expressed as,

\alpha= 1 -\dfrac{\rm Confidence\ interval}{100}

Now, as the confidence interval is given to us, therefore, the value of the alpha can be written as,

\alpha= 1 -\dfrac{\rm 58\%}{100} = 0.42

Further, the critical probability, assuming a confidence level of 58% is,

\rm Critical\ Probability, (P*) = 1-\dfrac{\alpha }{2}\\\\\rm Critical\ Probability, (P*) = 1-\dfrac{0.42}{2} = 0.79

Hence, the critical probability is 0.79.

Learn more about Critical Probability:

brainly.com/question/5625386

6 0
2 years ago
please help, I do not know how to do this at all! A restaurant has a large goldfish pond. Suppose that an inlet pipe and a hose
Ne4ueva [31]

Answer:

H = 20.5 hours

I = 19.5 Hours

Step-by-step explanation:

Start by creating a system.

I = time which the inlet pipe takes alone to fill the pond

H = time which the hose takes alone to fill the pond

10/I + 10/H = 10

H - I = 1

H = 20.5 hours

I = 19.5 Hours

8 0
3 years ago
The overhead reach distances of adult females are normally distributed with a mean of 205.5 and a standard deviation of 8.6 . a.
Anastasy [175]

Answer:

a) 0.073044

b) 0.75033

c) The normal distribution can be used in part (b), even though the sample size does not exceed 30 because initial population size is been distributed normally , therefore, the mean of the samples will be normally distributed regardless of their size(meaning whether the sample size is less than or equal to or exceeds 30, the sample means the mean of the samples will be normally distributed regardless of their size).

Step-by-step explanation:

The overhead reach distances of adult females are normally distributed with a mean of 205.5 and a standard deviation of 8.6 .

a. Find the probability that an individual distance is greater than 218.00 cm.

We solve using z score formula

z = (x-μ)/σ, where

x is the raw score = 218

μ is the population mean = 205.5

σ is the population standard deviation = 8.6

For x > 218

z = 218 - 205.5/8.6

z = 1.45349

Probability value from Z-Table:

P(x<218) = 0.92696

P(x>218) = 1 - P(x<218) = 0.073044

b. Find the probability that the mean for 15 randomly selected distances is greater than 204.00

When = random number of samples is given, we solve using this z score formula

z = (x-μ)/σ/√n

where

x is the raw score = 204

μ is the population mean = 205.5

σ is the population standard deviation = 8.6

n = 15

For x > 204

Hence

z = 204 - 205.5/8.6/√15

z = -0.67552

Probability value from Z-Table:

P(x<204) = 0.24967

P(x>204) = 1 - P(x<204) = 0.75033

c. Why can the normal distribution be used in part​ (b), even though the sample size does not exceed​ 30?

The normal distribution can be used in part (b), even though the sample size does not exceed 30 because initial population size is been distributed normally , therefore, the mean of the samples will be normally distributed regardless of their size(meaning whether the sample size is less than or equal to or exceeds 30, the sample means the mean of the samples will be normally distributed regardless of their size).

3 0
3 years ago
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