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MaRussiya [10]
3 years ago
5

thif the standard deviation of data set was originally 5 and if each value ine data set was multiplied by 2.4 what would the sta

ndard deviation of the data a)12 b)7 c)2 d)5
Mathematics
2 answers:
natulia [17]3 years ago
8 0
Let \{x_1,x_2,\ldots,x_n\} be the data set. The variance of the data is

s^2=\displaystyle\sum_{i=1}^n\frac{(x_i-\bar x)^2}{n-1}

where \bar x is the mean of the data. You have

\bar x=\displaystyle\sum_{i=1}^n\frac{x_i}n

so if each data point was multiplied by 2.4, you have a "new" mean of

{\bar x}^*=\displaystyle\sum_{i=1}^n\frac{2.4x_i}n=2.4\sum_{i=1}^n\frac{x_i}n=2.4\bar x

So in the variance formula, you have

{s^2}^*=\displaystyle\sum_{i=1}^n\frac{(2.4x_i-2.4\bar x)^2}{n-1}=2.4^2\sum_{i=1}^n\frac{(x_i-\bar x)^2}{n-1}=5.76s^2

so the standard deviation of the new data set would be

s^*=\sqrt{{s^2}^*}=\sqrt{5.76s^2}=2.4s

The original standard deviation was s=5 so the new one would be s^*=2.4\times5=12.
BARSIC [14]3 years ago
8 0

Answer:b

Step-by-step explanation:

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Answer:

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c) P(\bar X

d) For part a we are just finding the probability that an individual bottle would have a value of 2.52 liters or less. So we can't compare the result of part a with the results for parts b and c.

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Step-by-step explanation:

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  The letter \phi(b) is used to denote the cumulative area for a b quantile on the normal standard distribution, or in other words: \phi(b)=P(z

Let X the random variable that represent the amount of water in a bottle of a population, and for this case we know the distribution for X is given by:

X \sim N(2.55,0.035)

a. What is the probability that an individual bottle contains less than 2.52 liters?

We are interested on this probability

P(X

And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(X

And in order to find these probabilities we can find tables for the normal standard distribution, excel or a calculator.  

P(X

b. If a sample of 4 bottles is selected, what is the probability that the sample mean amount contained is less than 2.52 liters? (Round to three decimal places as noeded)

And let \bar X represent the sample mean, the distribution for the sample mean is given by:

\bar X \sim N(\mu,\frac{\sigma}{\sqrt{n}})

On this case  \bar X \sim N(2.55,\frac{0.035}{\sqrt{4}})

The z score on this case is given by this formula:

z=\frac{\bar x-\mu}{\frac{\sigma}{\sqrt{n}}}

And if we replace the values that we have we got:

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For this case we can use a table or excel to find the probability required:

P(\bar X

c. If a sample of 25 bottles is selected, what is the probability that the sample mean amount contained is less than 2.52 liters? (Round to three decimal places as needed.)

The z score on this case is given by this formula:

z=\frac{\bar x-\mu}{\frac{\sigma}{\sqrt{n}}}

And if we replace the values that we have we got:

z=\frac{2.52-2.55}{\frac{0.035}{\sqrt{25}}}=-4.286

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