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3 years ago

Can two different numbers have the same absolute value? If yes, give an example. If no, explain why not

2 answers:

7 0

If u wanna go by a technical term then yes, it can. The positive and negative side of a number. 4 example, -5. It's absolute value is 5. Positive 5's absolute value is 5 as well.

Now if u don't wanna be technical and don't want to use negative numbers, then no, it cannot.

IrinaK [193]3 years ago

3 0

Answer:

Yes, two different numbers have the same absolute value

Step-by-step explanation:

We are given that two different numbers

We have to tell that two different numbers can have same absolute value or not .

Absolute value of any number :

If a number x then its absolute value

$\mid x\mid$

Suppose we have -2 and 2

Absolute value of 2 is given by

$\mid 2\mid =2$

Absolute value of -2

$\mid {-2}\mid =2$

Hence, both numbers have same absolute value .

Then we can say that two numbers can have same absolute value.

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Henry mowed 37 lawns out of 60 lawns. what percent of the lawns does henry stilln need to mow

Anarel [89]

Answer:

38 %

Step-by-step explanation:

1. Percent of lawns mowed

$\text{Percent} = \dfrac{\text{Lawns mowed}}{\text{No. of lawns}} \times 100 \% = \dfrac{37}{60} \times 100 \% = 62 \%}$

2. Percent of lawns unmowed

% Unmowed = 100 % - 62 % = 38 %

Henry still needs to mow 38 % of the lawns.

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3 years ago

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3 years ago

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Answer:

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Step-by-step explanation:

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3 years ago

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aleksandr82 [10.1K]

Bro i don’t know either

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3 years ago

In a randomly selected sample of 1169 men ages 35–44, the mean total cholesterol level was 210 milligrams per deciliter with a s

Aneli [31]

Answer:

The highest total cholesterol level a man in this 35–44 age group can have and be in the lowest 10% is 160.59 milligrams per deciliter.

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 problem, we have that:

$\mu = 210, \sigma = 38.6$