Yo i need help with 1,000,000 + - 3,000,000

Mathematics

2 answers:

Arada [10]3 years ago

6 0

Answer: -2,000,000

Step-by-step explanation:

Think of it as -3,000,000 + 1,000,000

Rus_ich [418]3 years ago

3 0

Answer:

The answer is -2,000,000.

Step-by-step explanation:

Do 3,000,000 - 1,000,000

and then add the negative sign to the answer which is 2,000,000.

It becomes -2,000,000

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Dante surveyed students to see how they feel about a proposal to choose a new school mascot. The frequency table shows the resul

kenny6666 [7]

Answer:

Dante most likely asked the students if they should change the school mascot. This is a statistical question because the question can be answered by data that varies.

Step-by-step explanation:

You can see that the results for this question are either "yes" or "no". This means that Dante asked a question with a yes or no answer related to changing the mascot. This question was probably something along the lines of whether or not the mascot should be changed.

The definition of a statistical question is "a question that should have different answers". Therefore, this is a statistical question because the answers will be different from student to student.

Hope this helps!

8 0

3 years ago

A coffee shop sold 72 large cups of coffee on Monday. Each large cup of coffee cost $4.35.

frez [133]

Answer:

314 large cups

Step-by-step explanation:

72x4.35=313.2

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2 years ago

Read 2 more answers

Suppose the daily customer volume at a call center has a normal distribution with mean 5,500 and standard deviation 1,000. What

lakkis [162]

Answer:

0.0665 = 6.65% probability that the call center will get between 4,800 and 5,000 calls in a day.

Step-by-step explanation:

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.

Mean 5,500 and standard deviation 1,000.

This means that $\mu = 5500, \sigma = 1000$