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FinnZ [79.3K]
3 years ago
10

Convert 60/36 to a mixed number

Mathematics
2 answers:
Alekssandra [29.7K]3 years ago
6 0
1\frac{24}{36} because 36 goes into 60 1 time with 24 left over
vitfil [10]3 years ago
4 0
The mixed number would be 1 24/36 simplified, 1 2/3
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In a video game, Bob can score 3 points (x) or 4 points (y) by hitting targets. To win the game he must score at least 20 points
MariettaO [177]
Well,

we know that we need to accumulate points from x and y to reach 20 points.

since x provide 3 and y provide 4 points, the formula would be :

3x + 4y = 20 

or it can be written as : 
y = (3x/4)+5

hope this helps
6 0
3 years ago
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Each factory at a candy company has 498 workers. There are 12 factories. )
harkovskaia [24]

Answer:

5,976 workers

Step-by-step explanation:

498 times 12 = 5976

8 0
2 years ago
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A distribution of values is normal with a mean of 220 and a standard deviation of 13. From this distribution, you are drawing sa
Paraphin [41]

Answer:

The interval containing the middle-most 48% of sample means is between 218.59 to 221.41.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value 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. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributied random variable X, with mean \mu and standard deviation \sigma, the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 220, \sigma = 13, n = 35, s = \frac{13}{\sqrt{35}} = 2.1974

Find the interval containing the middle-most 48% of sample means:

50 - 48/2 = 26th percentile to 50 + 48/2 = 74th percentile. So

74th percentile

value of X when Z has a pvalue of 0.74. So X when Z = 0.643.

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

0.643 = \frac{X - 220}{2.1974}

X - 220 = 0.643*2.1974

X = 221.41

26th percentile

Value of X when Z has a pvalue of 0.26. So X when Z = -0.643

Z = \frac{X - \mu}{s}

-0.643 = \frac{X - 220}{2.1974}

X - 220 = -0.643*2.1974

X = 218.59

The interval containing the middle-most 48% of sample means is between 218.59 to 221.41.

5 0
3 years ago
A rectangle has a width of 4.9 cm and an area of 81.9 cm².
Drupady [299]
16cm

Dividing 81.9 cm^2 by 4.9cm will give you about a 16 cm height.

:) Good Luck
8 0
3 years ago
Letters A and B represent a question]MATH
LiRa [457]

Answer:

@Genius102 has answered this already, but here it is

Step-by-step explanation:

a) the scale should go by 1,000 because that would show that the slope is growing by time.

b) the intervals should go by 500 because 18,500 is the last number, so it should be 500

7 0
3 years ago
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