62.52=27.39+t this is 7th grade math! plsss help!!1

How can -6.75 + (10.25) be expressed as the sum of its integer and decimal parts

ArbitrLikvidat [17]

Answer:

-6.75 + (10.25) = ( (-6) + (10)) + ( (-0.75) + (0.25))

Here, the integer part = ( (-6) + (10))

Decimal part = ( (-0.75) + (0.25))

Step-by-step explanation:

Here, the given expression is: -6.75 + (10.25)

Now, -6.75 = (-6) + (-0.75)

Also, (10.25) = (10) + (0.25)

So, the expression can be written as

-6.75 + (10.25) = (-6) + (-0.75) + (10) + (0.25)

= ( (-6) + (10)) + ( (-0.75) + (0.25))

or, -6.75 + (10.25) = ( (-6) + (10)) + ( (-0.75) + (0.25))

Where the integer part is ( (-6) + (10))

and the decimal part is ( (-0.75) + (0.25))

3 0

3 years ago

The owner of a bike shop sells unicycles and bicycles and keeps inventory by counting seats and wheels. One day, she counts 15 s

poizon [28]

Im going to guess its either b or c.

7 0

3 years ago

Read 2 more answers

Find the simplified form of the expression. Give your answer in scientific notation. (4 x 10^10)(9 x 10^5) 3.6 x 10^4 3.6 x 10^4

mezya [45]

It's simple arithmetic. The Answer is 604661760000000000000000000000000000000000000000000000000000000000000000000000000000 and in scientific notation
60466176 x 10⁸³

4 0

3 years ago

How can you model data with a linear function

kiruha [24]

I think u have to divide and u get ur answer hope it helps

3 0

3 years ago

Suppose a research firm conducted a survey to determine the mean amount steady smokers spend on cigarettes during a week. A samp

shutvik [7]

Answer:

0.9910 = 99.10% probability that a sample of 170 steady smokers spend between $19 and $21

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 normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score 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 p-value, 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 distributed random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$ .