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Use the following information to answer the next nine exercises: The population parameters below describe the full-time equivalent number of students (FTES) each year at Lake Tahoe Community College from 1976–1977 through 2004–2005.

• μ = 1000 FTES

• median = 1,014 FTES

• σ = 474 FTES

• first quartile = 528.5 FTES

• third quartile = 1,447.5 FTES

• n = 29 years

75% of all years have an FTES:

a. at or below: _____

b. at or above: _____

Short Answer

Expert verified

75% of all years have an FTES:

a. At or below 1447.5

b. At or above 528.5

Step by step solution

01

To find

75 % of all years have an FTES:

a. At or below

b. At or above

02

Explanation

The median is a number that splits the data into two equal halves and is one of the measures of central tendency in statistics. The data in the 50% range is below the median value while the data in the 50% range is above the median value.

The partition values that divide the data into four equal halves are called quartiles. The first quartile is the value below which 25% of the data is found and above which 75% of the data is found. The median is represented by the second quartile. The third quartile is the value below which 75% of the data is found, and beyond which 25% of the data is found.

In the given example, we are given the below parameters about the population:

μ=1000FTESmedian=1014FTESσ=474FTESfirstquartile=528.5FTESthirdquartile=1447.5FTESn=29years

We must determine the 75% of all years with an FTES at or below a certain value, as well as the 75% of all years with an FTES at or above a certain value.

We know that 75% of data falls below the third quartile figure, thus we have: 75% of all years with an FTES of 1447.5 or less.

We also know that 75% of data is above the first quartile value, so we have: 75% of all years with an FTES of 528.5 or above.

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Most popular questions from this chapter

Use the following information to answer the next nine exercises: The population parameters below describe the full-time equivalent number of students (FTES) each year at Lake Tahoe Community College from 1976–1977 through 2004–2005.

• μ = 1000 FTES

• median = 1,014 FTES

• σ = 474 FTES

• first quartile = 528.5 FTES

• third quartile = 1,447.5 FTES

• n = 29 years

The population standard deviation = _____

On a baseball team, the ages of each of the players are as follows:

21;21;22;23;24;24;25;25;28;29;29;31;32;33;33;34;35;36;36;36;36;38;38;38;40

Use your calculator or computer to find the mean and standard deviation. Then find the value that is two standard deviations above the mean.

Use the following information to answer the next three exercises: State whether the data are symmetrical, skewed to the left, or skewed to the right.

16;17;19;22;22;22;22;22;23

A survey was conducted of 130 purchasers of new BMW 3 series cars, 130 purchasers of new BMW 5 series cars, and 130 purchasers of new BMW 7 series cars. In it, people were asked the age they were when they purchased their car. The following box plots display the results.

a. In complete sentences, describe what the shape of each box plot implies about the distribution of the data collected for that car series.

b. Which group is most likely to have an outlier? Explain how you determined that.

c. Compare the three box plots. What do they imply about the age of purchasing a BMW from the series when compared to each other?

d. Look at the BMW 5 series. Which quarter has the smallest spread of data? What is the spread?

e. Look at the BMW 5 series. Which quarter has the largest spread of data? What is the spread?

f. Look at the BMW 5 series. Estimate the interquartile range (IQR).

g. Look at the BMW 5 series. Are there more data in the interval 31 to 38 or in the interval 45 to 55? How do you know this?

h. Look at the BMW 5 series. Which interval has the fewest data in it? How do you know this?

i. 31–35

ii. 38–41

iii. 41–64

Suppose that you are buying a house. You and your realtor have determined that the most expensive house you can afford is the 34thpercentile. The 34thpercentile of housing prices is $240,000in the town you want to move to. In this town, can you afford 34%of the houses or 66%of the houses?

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