When you think of Houston Texas Honolulu Hawaii

When you think of Houston, Texas & Honolulu, Hawaii, do balmy temperatures come to mind.

When you think of Houston, Texas & Honolulu, Hawaii, do balmy temperatures come to mind. ? Both cities have a mean temperature of 750.

However, the mean temperature does not tell the whole story.

The temperature in Houston differs seasonally 0 from a low of about 40 in January to a high of close to 1000 in July and August.

By contrast, Honolulu’s temperature varies less throughout the year, usually ranging between 600 and 900.

Measures of dispersion are used to describe the spread of data items in a data set.

Measures of dispersion are used to describe the spread of data items in a data set. Two of the most common measures of dispersion,

Measures of dispersion are used to describe the spread of data items in a data set. Two of the most common measures of dispersion, the range

Measures of dispersion are used to describe the spread of data items in a data set. Two of the most common measures of dispersion, the range and the standard deviation, are discussed in this section.

The Range A quick but rough measure of dispersion is the range,

The Range A quick but rough measure of dispersion is the range, the difference between the highest

The Range A quick but rough measure of dispersion is the range, the difference between the highest and lowest data values in a data set.

For example Houston’s hottest annual 0 temperature is 103

For example Houston’s hottest annual 0 temperature is 103 and its coldest annual temperature is 330.

For example Houston’s hottest annual 0 temperature is 103 and its coldest annual temperature is 330. The range in temperature is

For example Houston’s hottest annual 0 temperature is 103 and its coldest annual temperature is 330. The range in temperature is

For example Houston’s hottest annual 0 temperature is 103 and its coldest annual temperature is 330. The range in temperature is

For example Houston’s hottest annual 0 temperature is 103 and its coldest annual temperature is 330. The range in temperature is

For example Houston’s hottest annual 0 temperature is 103 and its coldest annual temperature is 330. The range in temperature is

For example Houston’s hottest annual 0 temperature is 103 and its coldest annual temperature is 330. The range in temperature is

Honolulu’s hottest day is 0 89

Honolulu’s hottest day is 0 say is 61. 0 89 and its coldest

Honolulu’s hottest day is 0 say is 61. 0 89 The range in temperature is and its coldest

Honolulu’s hottest day is 0 say is 61. 0 89 The range in temperature is and its coldest

Honolulu’s hottest day is 0 say is 61. 0 89 The range in temperature is and its coldest

Honolulu’s hottest day is 0 say is 61. 0 89 The range in temperature is and its coldest

Honolulu’s hottest day is 0 say is 61. 0 89 The range in temperature is and its coldest

Honolulu’s hottest day is 0 say is 61. 0 89 The range in temperature is and its coldest

The Range.

The Range The range, the difference between the highest

The Range The range, the difference between the highest and lowest data values in a data set,

The Range The range, the difference between the highest and lowest data values in a data set, indicates the total spread of the data.

The Range The range, the difference between the highest and lowest data values in a data set, indicates the total spread of the data.

The Range The range, the difference between the highest and lowest data values in a data set, indicates the total spread of the data.

The Range The range, the difference between the highest and lowest data values in a data set, indicates the total spread of the data.

The Range The range, the difference between the highest and lowest data values in a data set, indicates the total spread of the data.

(millions) 472 106 Country 82 Brazil China 147 India U. S. Indonesia Number of Workers 778 The table shows the number of workers, in millions, for the five countries with the largest labor forces.

(millions) 472 106 Country 82 Brazil China 147 India U. S. Indonesia Number of Workers Find the range of workers in millions, for these five countries. 778

(millions) 472 106 Country 82 Brazil China 147 India U. S. Indonesia Number of Workers Find the range of workers in millions, for these five countries. 778

(millions) 472 106 Country 82 Brazil China 147 India U. S. Indonesia Number of Workers Find the range of workers in millions, for these five countries. 778

(millions) 472 106 Country 82 Brazil China 147 India U. S. Indonesia Number of Workers Find the range of workers in millions, for these five countries. 778

(millions) 472 106 Country 82 Brazil China 147 India U. S. Indonesia Number of Workers Find the range of workers in millions, for these five countries. 778

(millions) 472 106 Country 82 Brazil China 147 India U. S. Indonesia Number of Workers Find the range of workers in millions, for these five countries. 778

The Standard Deviation

The Standard Deviation

The Standard Deviation A second measure of dispersion,

The Standard Deviation A second measure of dispersion, and one that is dependent on all of the data items

The Standard Deviation A second measure of dispersion, and one that is dependent on all of the data items is called the standard deviation.

The standard deviation

The standard deviation is found by determining how much each data item differs

The standard deviation is found by determining how much each data item differs from the mean.

In order to compute the standard deviation,

In order to compute the standard deviation, it is necessary to find by how much each data item

In order to compute the standard deviation, it is necessary to find by how much each data item deviates from the mean.

In order to compute the standard deviation, it is necessary to find by how much each data item deviates from the mean. First compute the mean.

In order to compute the standard deviation, it is necessary to find by how much each data item deviates from the mean. First compute the mean.

Then subtract the mean from each data item.

Then subtract the mean from each data item.

Then subtract the mean from each data item.

Then subtract the mean from each data item.

(millions) 472 106 Country 82 Brazil China 147 India U. S. Indonesia Number of Workers 778 Find the deviations from the mean for the five data items.

(millions) 472 106 Country 82 Brazil China 147 India U. S. Indonesia Number of Workers 778 Find the deviations from the mean for the five data items.

(millions) 472 106 Country 82 Brazil China 147 India U. S. Indonesia Number of Workers 778 Find the deviations from the mean for the five data items.

(millions) 472 106 Country 82 Brazil China 147 India U. S. Indonesia Number of Workers 778 Find the deviations from the mean for the five data items.

(millions) 472 106 Country 82 Brazil China 147 India U. S. Indonesia Number of Workers 778 Find the deviations from the mean for the five data items.

(millions) 472 106 Country 82 Brazil China 147 India U. S. Indonesia Number of Workers 778 Find the deviations from the mean for the five data items.

(millions) 472 106 Country 82 Brazil China 147 India U. S. Indonesia Number of Workers 778 Find the deviations from the mean for the five data items.

Find the deviations from the mean for the five data items.

First calculate the mean

First calculate the mean

First calculate the mean

First calculate the mean

First calculate the mean

First calculate the mean

First calculate the mean

First calculate the mean

First calculate the mean

First calculate the mean

First calculate the mean

First calculate the mean

First calculate the mean

First calculate the mean

First calculate the mean

First calculate the mean