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Nadusha1986 [10]
4 years ago
12

Estimate the quotient 3.5 divided by 4

Mathematics
2 answers:
MrRa [10]4 years ago
7 0
<span> 3.5 divided by 4 is equal to </span>0.875 which is equal to 0.800 or also 0.8.

Hoped I helped!
I am Lyosha [343]4 years ago
6 0
The answer would be 0.875 
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Answer:

1 ≤ c ≤ 3

Step-by-step explanation:

In order to meet the standard, the chlorine level (c) must be at least 1 part per million (equal to or greater than 1):

1 ≤ c

At the same time, the level also needs to be no greater than 3 parts per million (equal to or lesser than 3)

c ≤ 3

Combining both inequalities yields (in parts per million):

1 ≤ c ≤ 3.

The compound inequality above describes the acceptable range for chlorine levels.

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4 years ago
Fill in the blank to make each equality true. x/(1/2x^3)=16x^6 y^4
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Answer:

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Step-by-step explanation:

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3 years ago
Which answer is a solution to the open sentence?
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How do i change the area using a scale factor
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7 0
3 years ago
The mean weight of frozen yogurt cups in an ice cream parlor is 8 oz.Suppose the weight of each cup served is normally distribut
vaieri [72.5K]

Answer:

10.03% probability of getting a cup weighing more than 8.64oz

Step-by-step explanation:

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.

In this question, we have that:

\mu = 8, \sigma = 0.5

What is the probability of getting a cup weighing more than 8.64oz

This is the 1 subtracted by the pvalue of Z when X = 8.64. So

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

Z = \frac{8.64 - 8}{0.5}

Z = 1.28

Z = 1.28 has a pvalue of 0.8997

1 - 0.8997 = 0.1003

10.03% probability of getting a cup weighing more than 8.64oz

4 0
3 years ago
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