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exis [7]
3 years ago
10

3 more than the quotient of a number and 8 is 27.

Mathematics
1 answer:
worty [1.4K]3 years ago
6 0
(x/8) + 3 = 27 <===ur equation
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21 x ________ ÷ 3 = 21 *
GrogVix [38]

Answer:

first one: <u>3</u>

second one: <u>b</u>

third one: <u>3.2</u>

Step-by-step explanation:

first one:

21 x ________ ÷ 3 = 21

rewrite equation:

21 ÷ 3 x ___ = 21

7 x ___ = 21

(21 / 7 = 3)

7 x 3 = 21

second one:

b x h ÷ h = ___

B

third one:

876 x 3.2 ÷ ______ = 876

2803.2 ÷ ___ = 876

(2803.2 / 876 = 3.2)

2803.2 x 3.2 = 876

7 0
3 years ago
To fit in an existing frame, the length, x, of a piece of glass must be longer than 12 cm but not longer than 12.2 cm. Which ine
8090 [49]
The answer is A) <span>12 < x ≤ 12.2</span>
4 0
3 years ago
Read 2 more answers
Shelly has $175 to shop for jeans and sweaters. Each pair of jeans costs $25 and each
Ksju [112]

Answer:

3 jeans and 5 sweaters

Step-by-step explanation:

This is a solid guess

However, this is a straight forward question.

175 she has to spend all of it.

To make it an even number you minus 25.

Than you have 150, minus another 50.

You have 5 more clothes to buy, and $100 left.

You use the rest to buy sweaters, therefore spending all the money and getting 8 clothing.

4 0
3 years ago
#5 A pair of jeans was 30% off the
just olya [345]

Answer:

80

Step-by-step explanation:

8 0
3 years ago
For the given hypothesis test, determine the probability of a Type II error or the power, as specified. A hypothesis test is to
erica [24]

Answer:

the probability of a Type II error if in fact the mean waiting time u, is 9.8 minutes is 0.1251

Option A) is the correct answer.

Step-by-step explanation:

Given the data in the question;

we know that a type 11 error occur when a null hypothesis is false and we fail to reject it.

as in it in the question;

obtained mean is 9.8 which is obviously not equal to 8.3

But still we fail to reject the null hypothesis says mean is 8.3

Hence we have to find the probability of type 11 error

given that; it is right tailed and o.5, it corresponds to 1.645

so

z is equal to 1.645

z = (x-μ)/\frac{S}{\sqrt{n} }

where our standard deviation s = 3.8

sample size n = 50

mean μ = 8.3

we substitute

1.645 = (x - 8.3)/\frac{3.8}{\sqrt{50} }

1.645 = (x - 8.3) / 0.5374

0.884023 = x - 8.3

x = 0.884023 + 8.3

x = 9.18402

so, by general rule we will fail to reject the null hypothesis when we will get the z value less than 1.645

As we reject the null hypothesis for right tailed test when the obtained test statistics is greater than the critical value

so, we will fail to reject the null hypothesis as long as we get the sample mean less than 9.18402

Now, for mean 9.8 and standard deviation 3.8 and sample size 50

Z =  (9.18402 - 9.8)/\frac{3.8}{\sqrt{50} }

Z = -0.61598 / 0.5374

Z = - 1.1462 ≈ - 1.15

from the z-score table;

P(z<-1.15) = 0.1251

Therefore, the probability of a Type II error if in fact the mean waiting time u, is 9.8 minutes is 0.1251

Option A) is the correct answer.

8 0
3 years ago
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