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gregori [183]
3 years ago
12

There are slips of paper that are numbered from 1 to 15 in a hat. What is the theoretical probability that a slip of paper that

is chosen will be an even number?
Mathematics
2 answers:
Sidana [21]3 years ago
7 0
The chace of the number that will be pulled out of the hat being an even number is a 7 / 15 chance.
Fantom [35]3 years ago
7 0

Answer:

the theoretical probability that a slip of paper that is chosen will be an even number is 0.466

Step-by-step explanation:

if we are going to choose a slip of paper with an specific condition, the theoretical probability could be calculated as a division between the total number of posibles choices and the number of choices that satisfy an specific condition.

In this case, there 15 posibles choices because we have 15 numbered slips of papers. from these 15 slips, 7 are numbered with an even number. This even numbers are: 2, 4, 6, 8, 10, 12 and 14.

Finally the theoretical probability is:

\frac{7}{15} =0.466

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A random sample of 20 items is selected from a population. When computing a confidence interval for the population mean, what nu
kumpel [21]

Answer:

For this case since the sample size is lower than 30 , n =20<30, is not appropiate use the normal standard distribution to calculate the confidence interval for the mean, and then for this case is better use the t distribution since takes in count the correction factor to approximate the distribution of the true parameter.

The confidence interval for the mean is given by the following formula:

\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}}   (1)

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

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".

\bar X represent the sample mean for the sample  

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s represent the sample standard deviation

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Solution to the problem

For this case since the sample size is lower than 30 , n =20<30, is not appropiate use the normal standard distribution to calculate the confidence interval for the mean, and then for this case is better use the t distribution since takes in count the correction factor to approximate the distribution of the true parameter.

The confidence interval for the mean is given by the following formula:

\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}}   (1)

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