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Komok [63]
3 years ago
6

1.Which example would be likely to give a valid conclusion?

Mathematics
2 answers:
storchak [24]3 years ago
6 0

Answer:

1: C, ten from each class

2: 27

3: the numbers are counted incorrectly.

4: 5.5 hours

5: 6 hours

Step-by-step explanation:

Aneli [31]3 years ago
6 0
Answer is C for the first question
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"In a mid-size company, the distribution of the number of phone calls answered each day by each of the 12 receptionists is bell-
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Answer:

For this case we want to find this probability:

P(10

And we can use the z score formula to see how many deviation we are within the mean and we got:

z = \frac{10-37}{9}=-3

z = \frac{64-37}{9}=3

And for this case we know that within 3 deviation from the mean we have 99.7% of the values and that's the answer for this case.

Step-by-step explanation:

Previous concepts

The empirical rule, also known as three-sigma rule or 68-95-99.7 rule, "is a statistical rule which states that for a normal distribution, almost all data falls within three standard deviations (denoted by σ) of the mean (denoted by µ)".

Let X the random variable who represent the number of phone calls answered.

From the problem we have the mean and the standard deviation for the random variable X. E(X)=37, Sd(X)=9

So we can assume \mu=37 , \sigma=9

On this case in order to check if the random variable X follows a normal distribution we can use the empirical rule that states the following:

• The probability of obtain values within one deviation from the mean is 0.68

• The probability of obtain values within two deviation's from the mean is 0.95

• The probability of obtain values within three deviation's from the mean is 0.997

Solution to the problem

For this case we want to find this probability:

P(10

And we can use the z score formula to see how many deviation we are within the mean and we got:

z = \frac{10-37}{9}=-3

z = \frac{64-37}{9}=3

And for this case we know that within 3 deviation from the mean we have 99.7% of the values and that's the answer for this case.

3 0
3 years ago
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