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Damm [24]
3 years ago
12

What Number Is The Same As 20 Tens

Mathematics
2 answers:
Artyom0805 [142]3 years ago
6 0

the answer is 200 :)

vichka [17]3 years ago
5 0
20 tens would be the same as 200
You might be interested in
If i clock out at 11:53 and i have 30 Minutes what time do i get in?
lara [203]

Answer:

you get in at 11:23

Step-by-step explanation:

53-30=30

so 11:23

6 0
3 years ago
Read 2 more answers
Find the product of two numbers before multiplying by the next number. 25 × 3 × 2​
Varvara68 [4.7K]

Answer and explanation:

25 x 3 = 75

75 x 2 = 150

I found the product of the first two numbers, then multiplied the third.

The answer is 150. Hope this helps!

5 0
3 years ago
Using the order of operations rule solve the following 12 / 2 + 4 - 2 X 3 equals
Vladimir [108]
That means you first calculate divide and multiply and at the and plus and minus.
So
12 / 2 + 4 - 2 x 3 =
 6 + 4 - 6 = 4
4 0
3 years ago
Read 2 more answers
Suppose that the population mean for income is $50,000, while the population standard deviation is 25,000. If we select a random
Fudgin [204]

Answer:

Probability that the sample will have a mean that is greater than $52,000 is 0.0057.

Step-by-step explanation:

We are given that the population mean for income is $50,000, while the population standard deviation is 25,000.

We select a random sample of 1,000 people.

<em>Let </em>\bar X<em> = sample mean</em>

The z-score probability distribution for sample mean is given by;

               Z = \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } }  ~ N(0,1)

where, \mu = population mean = $50,000

            \sigma = population standard deviation = $25,000

            n = sample of people = 1,000

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X.

So, probability that the sample will have a mean that is greater than $52,000 is given by = P(\bar X > $52,000)

  P(\bar X > $52,000) = P( \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } } > \frac{52,000-50,000}{\frac{25,000}{\sqrt{1,000} } } ) = P(Z > 2.53) = 1 - P(Z \leq 2.53)

                                                                    = 1 - 0.9943 = 0.0057

<em>Now, in the z table the P(Z </em>\leq<em> x) or P(Z < x) is given. So, the above probability is calculated by looking at the value of x = 2.53 in the z table which has an area of 0.9943.</em>

Therefore, probability that the sample will have a mean that is greater than $52,000 is 0.0057.

5 0
2 years ago
Karen has 10 cups of apple juice she uses 2/3 of it to make fruit punch
Sveta_85 [38]

Answer:

3.33 or 3

Step-by-step explanation:

10 divided by 3 = 3.33 (it goes on) Or maybe you can't pour a third of a cup so maybe 3 or 4.

7 0
3 years ago
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