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Troyanec [42]
3 years ago
7

One positive number is 5 times another number. The difference between the two numbers is 1464, find the numbers.

Mathematics
1 answer:
Brut [27]3 years ago
7 0

Answer:

The answer is 292.8

Step-by-step explanation:

You just have to divided 1464 by 5

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ANEK [815]

Answer:

<h2>INFO</h2>

Step-by-step explanation:

NEED MORE INFO...

8 0
3 years ago
Convert the mixed number to an improper fraction. 2 7/10 A.14/10 B.27/10 C.34/10 D.37/10
boyakko [2]
So, to make a mixed number into an improper fraction, you have to multiply the whole number by the denominator and then add the numerator o that number.
2 and 7/10:
2x10=20+7=27/10!
<u>The answer would be B!</u>
I hope this helps!
7 0
3 years ago
Read 2 more answers
3a + 2b, when a = 10 and b= 5
tia_tia [17]

Answer:

40

Step-by-step explanation:

3a + 2b =

3(10) + 2(5)

30 + 10 = 40

I hope this helps!

Have a great day!

8 0
2 years ago
Read 2 more answers
Any help I don't get this like it's confusing please and thank you!!!!!!
Leya [2.2K]
The way to do this problem is by Spelling HAPPY THANKSGIVING and u put them in order by the lettter to a number.

73,15,41,41,12 16,73,15,33,10,24,17,23,50,23,3317
⬆️ ⬆️
H A P P Y T H A N K S G I V I N G


Hope This Helps
7 0
3 years ago
A consumer products company is formulating a new shampoo and is interested in foam height (in mm). Foam height is approximately
Genrish500 [490]

Answer:

a) 0.057

b) 0.5234

c) 0.4766

Step-by-step explanation:

a)

To find the p-value if the sample average is 185, we first compute the z-score associated to this value, we use the formula

z=\frac{\bar x-\mu}{\sigma/\sqrt N}

where

\bar x=mean\; of\;the \;sample

\mu=mean\; established\; in\; H_0

\sigma=standard \; deviation

N = size of the sample.

So,

z=\frac{185-175}{20/\sqrt {10}}=1.5811

\boxed {z=1.5811}

As the sample suggests that the real mean could be greater than the established in the null hypothesis, then we are interested in the area under the normal curve to the right of  1.5811 and this would be your p-value.

We compute the area of the normal curve for values to the right of  1.5811 either with a table or with a computer and find that this area is equal to 0.0569 = 0.057 rounded to 3 decimals.

So the p-value is  

\boxed {p=0.057}

b)

Since the z-score associated to an α value of 0.05 is 1.64 and the z-score of the alternative hypothesis is 1.5811 which is less than 1.64 (z critical), we cannot reject the null, so we are making a Type II error since 175 is not the true mean.

We can compute the probability of such an error following the next steps:

<u>Step 1 </u>

Compute \bar x_{critical}

1.64=z_{critical}=\frac{\bar x_{critical}-\mu_0}{\sigma/\sqrt{n}}

\frac{\bar x_{critical}-\mu_0}{\sigma/\sqrt{n}}=\frac{\bar x_{critical}-175}{6.3245}=1.64\Rightarrow \bar x_{critical}=185.3721

So <em>we would make a Type II error if our sample mean is less than 185.3721</em>.  

<u>Step 2</u>

Compute the probability that your sample mean is less than 185.3711  

P(\bar x < 185.3711)=P(z< \frac{185.3711-185}{6.3245})=P(z

So, <em>the probability of making a Type II error is 0.5234 = 52.34% </em>

c)

<em>The power of a hypothesis test is 1 minus the probability of a Type II error</em>. So, the power of the test is

1 - 0.5234 = 0.4766

3 0
3 years ago
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