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1-A ________ displays the minimum, first quartile, median, third quartile, and t

ID: 2948510 • Letter: 1

Question

1-A ________ displays the minimum, first quartile, median, third quartile, and the maximum of a data set. scatter plot, contingency table, box plot, stacked column chart. which one is correct?

2- The importance of sampling, from a managerial perspective, is to ________.

obtain information to draw a valid inference about a population

calculate the population parameters accurately

test the correlation between the values of the population

find all the defective products in the population.

3-

If all the college students in this university are the population, then college students in this class that live on campus would be an example of ________.

a point estimate

a process

a sample

ratio data

4- The basic difference between a point estimate and a confidence interval is ________.?

5- Freshman, sophomore, junior, or senior would be examples of ________ data.?

6- Increasing the sample size is one way to ________.?  

reduce ?

reduce the power of the test

increase the standard error of the mean

determine the exact ? value  

Explanation / Answer

1-A ________ displays the minimum, first quartile, median, third quartile, and the maximum of a data set. scatter plot, contingency table, box plot, stacked column chart. which one is correct?

Answer: Box plot

2- The importance of sampling, from a managerial perspective, is to ________.

obtain information to draw a valid inference about a population

Answer:  calculate the population parameters accurately

3- If all the college students in this university are the population, then college students in this class that live on campus would be an example of ________.

Answer: Sample ( because it is a part of population )

4- The basic difference between a point estimate and a confidence interval is

Answer: Point estimate gives a single particular value of the population parameter, and onfidence Interval gives the range of values which contains the population parameter.

5- Freshman, sophomore, junior, or senior would be examples of ________ data.?

Answer: Ordinal data ( because by the given name we arrange the data in orders)

6 - Increasing the sample size is one way to ________.?

Answer: reduce ? (i.e. Probability of getting Type II error)