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ArbitrLikvidat [17]
3 years ago
13

Which fraction is between 0 and 1/2

Mathematics
1 answer:
faust18 [17]3 years ago
6 0

The Fraction that is between 0 and 1/2 is 2/10

The fraction 1/2 can also be written as 5/10. If you were to make a number line, you would be able to see that 2/10 is between. Here, let me order them from least to greatest:

< - 0 - - 2/10- - - 1/2- - 7/10- 3/4 - 8/10 - >

As you can see, 2/10 is between 0 and 1/2 (5/10).

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The expression for the angle m∠RST from the given bisctor is; 6x - 18

<h3>How to find the expression for a given angle?</h3>

From the given image in the attachment we are given that;

SQ bisects ∠TSR

m ∠RSQ = 3x - 9

Now, since  SQ is a bisector of ∠TSR, we can say that

m∠RST = 2 * m∠RSQ

Thus angle RST is expressed as;

m∠RST = 2(3x - 9)

m∠RST = 6x - 18

Read more about Angle expression at; brainly.com/question/16953095

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The price of a share of stock was $23 on Monday $19 on Tuesday.what is the difference in price of those two days?write an intege
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Answer:

Based on physical properties, which of these substances is an ionic compound? Explain your reasoning.

A. Hair Gel

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D. Baking SodaBased on physical properties, which of these substances is an ionic compound? Explain your reasoning.

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A. Hair Gel

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A. Hair Gel

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C. Motor Oil

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Step-by-step explanation:

7 0
3 years ago
The weights of the fish in a certain lake are normally distributed with a mean of 19 lb and a standard deviation of 6. If 4 fish
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Answer:

67.30% probability that the mean weight will be between 16.6 and 22.6 lb

Step-by-step explanation:

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

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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:

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Central limit theorem:

The Central Limit Theorem estabilishes that, for a normally distributed 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:

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If 4 fish are randomly selected, what is the probability that the mean weight will be between 16.6 and 22.6 lb

This is the pvalue of Z when X = 22.6 subtracted by the pvalue of Z when X = 16.6.

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