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3 years ago

PLEASE HELP ME!!! I don’t know the answer and I have to show my work!!!

Mathematics

2 answers:

gladu [14]3 years ago

8 0

Since the indices of the roots are the same, we can write the given expression as

fourth root of (400/5), which is "fourth root of 80."

What are some fourth powers?

1^4=1
2^4=16
3^4= 81

Note that 16 is a factor of 80. Therefore:

fourth power of 80 = (fourth power of 16)*(fourth power of 5)
= 2*(fourth power of 5) (answer)

max2010maxim [7]3 years ago

7 0

4√400 / 4√ 5 ( both are 'fourth roots ')

= 4√ (400/5)

= 4√80

= 2.99 to nearest hundredth

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Is (the number in the photo) rational or irrational?

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Step-by-step explanation:

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2 years ago

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jeka57 [31]

Answer:

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Step-by-step explanation:

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2 years ago

Rockwell hardness of pins of a certain type is known to have a mean value of 50 and a standard deviation of 1.3. (Round your ans

Maurinko [17]

Answer:

0.0039 is the probability that the sample mean hardness for a random sample of 12 pins is at least 51.

Step-by-step explanation:

We are given the following information in the question:

Mean, μ = 50

Standard Deviation, σ = 1.3

Sample size, n = 12

We are given that the distribution of hardness of pins is a bell shaped distribution that is a normal distribution.

Formula:

$z_{score} = \displaystyle\frac{x-\mu}{\sigma}$

Standard error due to sampling =

$=\dfrac{\sigma}{\sqrt{n}} = \dfrac{1.3}{\sqrt{12}} = 0.3753$

P(sample mean hardness for a random sample of 12 pins is at least 51)

$P( x \geq 51) = P( z \geq \displaystyle\frac{51 - 50}{0.3753}) = P(z \geq 2.6645)$

$= 1 - P(z < 2.6645)$

Calculation the value from standard normal z table, we have,

$P(x \geq 51) = 1 - 0.9961= 0.0039$

0.0039 is the probability that the sample mean hardness for a random sample of 12 pins is at least 51.

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3 years ago

Please help me! Quickly I WILL GIVE YOU BRAINLEST IF YOU ANSWER ME PLEASE! 15points!

hram777 [196]

Answer:

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2 years ago

PLEASE I ONLY HAVE 30 MIUNUTES TO FINISH!!!!!!!!!!!!!

creativ13 [48]

Answer:

When it is small & when the sample has things that are different from the population.

Step-by-step explanation:

A small sample has less chance of accurately reflecting a population & too many variables can also negatively influence the study.

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2 years ago

Read 2 more answers