First, we need to organize the data in order from least to greatest. We are given the following data set:

When we order the run times from least to greatest we can write the following set:

Second, we need to create a frequency table using the given information. The constructed frequency table should look like the following figure:

Last, we will use this information to create a histogram of frequencies. The following histogram most accurately represents the given data:

First, we need to organize the data in order from least to greatest. We are given the following data set:

When we order the run times from least to greatest we can write the following set:

Second, we need to create a frequency table using the given information. The constructed frequency table should look like the following figure: 

Last, we will use this information to create a histogram of frequencies. The following histogram most accurately represents the given data:

First, we need to organize the data in order from least to greatest. We are given the following data set:

When we order the run times from least to greatest we can write the following set:

Second, we need to create a frequency table using the given information. The constructed frequency table should look like the following figure:

Last, we will use this information to create a histogram of frequencies. The following histogram most accurately represents the given data:

First, we need to organize the data in order from least to greatest. We are given the following data set:

When we order the run times from least to greatest we can write the following set:

Second, we need to create a frequency table using the given information. The constructed frequency table should look like the following figure:

Last, we will use this information to create a histogram of frequencies. The following histogram most accurately represents the given data:

First, we need to organize the data in order from least to greatest. We are given the following data set:

When we order the run times from least to greatest we can write the following set:

Second, we need to create a frequency table using the given information. The constructed frequency table should look like the following figure:

Last, we will use this information to create a histogram of frequencies. The following histogram most accurately represents the given data:

First, we need to organize the data in order from least to greatest. We are given the following data set:

When we order the run times from least to greatest we can write the following set:

Second, we need to create a frequency table using the given information. The constructed frequency table should look like the following figure:

Last, we will use this information to create a histogram of frequencies. The following histogram most accurately represents the given data:

There are several common measures of center and spread for a given data set. The most common measures of center are the mean and median. The mean represents the arithmetic average of a set and the median is the middlemost value. On the other hand the most common measures of spread are the mean absolute deviation (MAD) and inter-quartile range (IQR).

The measures of center and spread vary for different sets of data. The mean and MAD are used together to analyze data presented in bar charts or histograms while the median and IQR are most commonly used for box and whisker plots.

Lets look at our data. We have the following pounds of brass for the five-month period starting in January:

First let's plot this data on a bar graph.

Now, let's use the mean and MAD to calculate the center and spread of the data respectively.

The center should be calculated using the mean. The mean is the arithmetic average and is found by adding all of the values together and dividing by the number of values in the series. 

Now, let's find the spread of the data using the MAD. The MAD describes how data varies about the mean. The MAD is calculated by finding out how much each data points deviates from the mean and dividing by the total number of values in the series. 

First, let's find out how much each value varies from the mean by taking the absolute value of the mean minus each individual value.

Now, we need to add up these values and divide that total by the number of values in the series.

The MAD is the value that each individual number in the set deviates from the mean; therefore, it represents the spread of the series.

The correct answer for this problem is the following:

There are several common measures of center and spread for a given data set. The most common measures of center are the mean and median. The mean represents the arithmetic average of a set and the median is the middlemost value. On the other hand, the most common measures of spread are the mean absolute deviation (MAD) and inter-quartile range (IQR).

The measures of center and spread vary for different sets of data. The mean and MAD are used together to analyze data presented in bar charts or histograms while the median and IQR are most commonly used for box and whisker plots.

Let's look at our data. We have the following pounds of brass for the five-month period starting in January:

First, let's plot this data on a bar graph.

Now, let's use the mean and MAD to calculate the center and spread of the data respectively.

The center should be calculated using the mean. The mean is the arithmetic average and is found by adding all of the values together and dividing by the number of values in the series. 

Now, let's find the spread of the data using the MAD. The MAD describes how data varies about the mean. The MAD is calculated by finding out how much each data points deviates from the mean and dividing by the total number of values in the series. 

First, let's find out how much each value varies from the mean by taking the absolute value of the mean minus each individual value.

Now, we need to add up these values and divide that total by the number of values in the series.

The MAD is the value that each individual number in the set deviates from the mean; therefore, it represents the spread of the series.

The correct answer for this problem is the following:

There are several common measures of center and spread for a given data set. The most common measures of center are the mean and median. The mean represents the arithmetic average of a set and the median is the middlemost value. On the other hand the most common measures of spread are the mean absolute deviation (MAD) and inter-quartile range (IQR).

The measures of center and spread vary for different sets of data. The mean and MAD are used together to analyze data presented in bar charts or histograms while the median and IQR are most commonly used for box and whisker plots.

Lets look at our data. We have the following pounds of brass for the five-month period starting in January:

First let's plot this data on a bar graph.

Now, let's use the mean and MAD to calculate the center and spread of the data respectively.

The center should be calculated using the mean. The mean is the arithmetic average and is found by adding all of the values together and dividing by the number of values in the series. 

Now, let's find the spread of the data using the MAD. The MAD describes how data varies about the mean. The MAD is calculated by finding out how much each data points deviates from the mean and dividing by the total number of values in the series. 

First, let's find out how much each value varies from the mean by taking the absolute value of the mean minus each individual value.

Now, we need to add up these values and divide that total by the number of values in the series.

The MAD is the value that each individual number in the set deviates from the mean; therefore, it represents the spread of the series.

The correct answer for this problem is the following: