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Leto [7]
3 years ago
8

Ramon has 7/8 of a cup of cottage chesse. How many 1/4 cup servings can he make?

Mathematics
1 answer:
Alika [10]3 years ago
7 0
I don’t know u tell me that’s the answer
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A manager needs to order company shirts for each employee. She was quoted the following rates. If she orders 75 shirts and passe
docker41 [41]
The answer is B.$7.47.

Let's first calculate how much in total 75 shirts cost:
- first 19 (less than 20) cost $10:         19 * $10 = $190
- the next 30 cost $8:                         30 *  $8 = $240
- the rest (26 = 75 - 19 - 30) cost $5: 26 *  $5 = $130

So, in total 75 shirts cost $560:
19 * $10 + 30 * $8 + 21 * $5 = $190 + $240 + $130 = $560

Since 75 shirts are ordered, there must be 75 employees, so each employee must pay $7.47:
$565 ÷ 75 = $7.47
7 0
3 years ago
Read 2 more answers
Please help me with this
marishachu [46]

Answer:

?

Step-by-step explanation:

3 0
3 years ago
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71.700 rounded to the nearest hundredth
Anna35 [415]

Answer:

71.70

Step-by-step explanation:

4 0
3 years ago
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Considering the number of questions incorrect from classmates on a quiz {10, 11, 12, 13, 13, 13, 14, 15, 16, 16, 17, 18, 18, 19,
IrinaK [193]

Answer:

According to the Empirical Rule, 68% of the data should fall between 11.98 and 18.02

Step-by-step explanation:

We are given the following data in the question:

10, 11, 12, 13, 13, 13, 14, 15, 16, 16, 17, 18, 18, 19, 20

Formula:

\text{Standard Deviation} = \sqrt{\displaystyle\frac{\sum (x_i -\bar{x})^2}{n-1}}  

where x_i are data points, \bar{x} is the mean and n is the number of observations.  

Mean = \displaystyle\frac{\text{Sum of all observations}}{\text{Total number of observation}}

Mean =\displaystyle\frac{225}{15} = 15

Sum of squares of differences = 25 + 16 + 9 + 4 + 4+ 4 + 1 + 0+ 1+ 1 + 4 + 9 + 9+ 16 + 25 = 128

S.D = \sqrt{\dfrac{128}{14}} = 3.02

Empirical rule:

  • According to this rule almost all the data lies within three standard deviation of the mean for a normal distribution.
  • About 68% of data lies within one standard deviation of the mean.
  • About 95% of data lies within two standard deviations of mean.
  • Arround 99.7% of data lies within three standard deviation of mean.

Thus, by empirical rule,

\mu \pm 1\sigma = 15\pm (3.02) = (11.98,18.02)

According to the Empirical Rule, 68% of the data should fall between 11.98 and 18.02

5 0
3 years ago
What does this app do?
Nuetrik [128]

This app is used for asking questions. Most questions will be answered while other may take a little bit more time. Hope this helps :)

7 0
3 years ago
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