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svetoff [14.1K]
2 years ago
6

Original: 7.7 new. 10.5 explain weather it decreased or it increased

Mathematics
2 answers:
Charra [1.4K]2 years ago
8 0
Answer:
Increased

Explanation:
Savatey [412]2 years ago
7 0

Answer:

It increased.

Step-by-step explanation:

Hope it helps..

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Please help and find m<DBG​
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Step-by-step explanation:

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I... I did it... Thanks-
umka21 [38]

Answer:

YAYYYYYY!!!!!!

Step-by-step explanation:

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4 years ago
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Bob is doing a quality test on machine bolts. He tested 24 bolts that he randomly picked and found that 5 were defective Based o
MissTica

Answer:

Mean of the binomial distribution

μ = 174.972 bolts

Step-by-step explanation:

<u><em>Step(i):-</em></u>

Given that Bob tested 24 bolts that he randomly picked and found that 5 were defective

The proportion of the defective item

            p = \frac{x}{n} = \frac{5}{24} = 0.2083

<u><em>Step(ii):-</em></u>

Let 'x' be a random variable in a binomial distribution

Mean of the binomial distribution

                   μ = np

                  μ = 840 ×0.280

                 μ = 174.972

<u><em>Final answer</em></u>:-

Mean of the binomial distribution  μ = 174.972 bolts

                 

 

             

4 0
3 years ago
Which answers are examples of inductive reasoning? Select each correct answer.
padilas [110]
 All cats are mammals. All mammals have kidneys. All cats have kidneys.

John's coworkers notice that John always orders pizza for lunch on Friday. Today is Friday. John's coworkers expect that he will order pizza for lunch today.
7 0
3 years ago
Read 2 more answers
Annual starting salaries for college graduates with degrees in business administration are generally expected to have a populati
valkas [14]

Answer:

A sample of 139 should be taken.

Step-by-step explanation:

We have that to find our \alpha level, that is the subtraction of 1 by the confidence interval divided by 2. So:

\alpha = \frac{1 - 0.95}{2} = 0.025

Now, we have to find z in the Ztable as such z has a pvalue of 1 - \alpha.

That is z with a pvalue of 1 - 0.025 = 0.975, so Z = 1.96.

Now, find the margin of error M as such

M = z\frac{\sigma}{\sqrt{n}}

In which \sigma is the standard deviation of the population and n is the size of the sample.

Population standard deviation of $3,000.

This means that \sigma = 3000

How large a sample should be taken if the desired margin of error is $500?

A sample of n is needed.

n is found when M = 500. So

M = z\frac{\sigma}{\sqrt{n}}

500 = 1.96\frac{3000}{\sqrt{n}}

500\sqrt{n} = 1.96*3000

Dividing both sides by 500

\sqrt{n} = 1.96*6

(\sqrt{n})^2 = (1.96*6)^2

n = 138.3

Rounding up:

A sample of 139 should be taken.

7 0
3 years ago
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