Once you have created both sets of numbers, complete the following tasks. In each task, make sure to clearly label which set you
1 answer:
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Answer:
a)
b)
c)
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.
If we see part b and c are similar but the difference it's on the sample size for part b we just have a sample size 4 and for part c we have a sample size of 25. The differences are because we have a higher standard error for part b compared to part c.
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 is used to denote the cumulative area for a b quantile on the normal standard distribution, or in other words:
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:
a. What is the probability that an individual bottle contains less than 2.52 liters?
We are interested on this probability
And the best way to solve this problem is using the normal standard distribution and the z score given by:
If we apply this formula to our probability we got this:
And in order to find these probabilities we can find tables for the normal standard distribution, excel or a calculator.
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 represent the sample mean, the distribution for the sample mean is given by:
On this case
The z score on this case is given by this formula:
And if we replace the values that we have we got:
For this case we can use a table or excel to find the probability required:
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:
And if we replace the values that we have we got:
For this case we can use a table or excel to find the probability required:
d. Explain the difference in the results of (a) and (c)
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.
If we see part b and c are similar but the difference it's on the sample size for part b we just have a sample size 4 and for part c we have a sample size of 25. The differences are because we have a higher standard error for part b compared to part c.
Answer:
The interquartile ranges are quite close in value.
Step-by-step explanation:
We have been given two box-plots and we are asked to choose the correct statement about the interquartile ranges.
Since we know that interquartile range is difference between upper and lower quartile.
Let us find IQR for the female grades in math.
We can see from box-plot representing female grades that upper quartile is about 90 and lower quartile is about 75.
Now let us find IQR for the male grades in math.
We can see IQR values for males and females are same, therefore, last statement is true.