Statistics

Data at the ordinal level are quantitative only.

False. Data at the ordinal level can be qualitative or quantitative.

Select all the levels of measurement for which data can be quantitative.

Ratio, Ordinal, Interval

For data at the interval​ level, you cannot calculate meaningful differences between data entries.

The statement is false. A true statement is​ "For data at the interval​ level, you can calculate meaningful differences between data​ entries."

How is a Pareto chart different from a standard vertical bar​ graph?

The bars are positioned in order of decreasing height with the tallest bar on the left.

What is an inherent​ zero? Describe three examples of data sets that have inherent zeros and three that do not.

An inherent zero is a zero that implies none. Maximum wind speed during a hurricane Average monthly precipitation in inches Average age of college students in years

More types of calculations can be performed with data at the nominal level than with data at the interval level.

False. More types of calculations can be performed with data at the interval level than with data at the nominal level.

Select all the levels of measurement for which data can be qualitative.

The nominal level is data that can be put in a category. The Ordinallevel is data that can be put in a category and put in order. The interval level is data that can be put in order and find differences between values. The ratio level is data that can be put in​ order, find differences between​ values, and find ratios of values. Answer: The nominal level is data that can be put in a category. The Ordinallevel is data that can be put in a category and put in order.

What is the difference between a random sample and a simple random​ sample?

With a random​ sample, each individual has the same chance of being selected. With a simple random​ sample, all samples of the same size have the same chance of being selected. Answer With a random​ sample, each individual has the same chance of being selected. With a simple random​ sample, all samples of the same size have the same chance of being selected.

In terms of displaying​ data, how is a​ stem-and-leaf plot similar to a dot​ plot?

In a dot​ plot, each data entry is​ plotted, using a​ point, above a horizontal axis. A​ stem-and-leaf plot, each number is separated into a stem and a leaf. Both plots can be used to determine specific data entries. Your answer is correct. B. Both plots show how data are distributed. Your answer is correct. D. Both plots can be used to identify unusual data values.

What is an advantage of using a​ stem-and-leaf plot instead of a​ histogram? What is a​ disadvantage?

In a​ stem-and-leaf plot, each number is separated into a​ stem, such as the​ entry's leftmost​ digits, and a​ leaf, such as the rightmost digit. There should be as many leaves as there are entries in the original data set and the leaves should be single digits. A​ stem-and-leaf plot is similar to a histogram but has the advantage that the graph still contains the original data. Another advantage of a​ stem-and-leaf plot is that it provides an easy way to sort data. OK Advantage: Stem-and-leaf plots contain original data values where histograms do not. Disadvantage: Histograms easily organize data of all sizes where​ stem-and-leaf plots do not.

What is replication in an​ experiment? Why is replication​ important?

Replication is repetition of an experiment under the same or similar conditions. Replication is important because it enhances the​ validity, or the accuracy and​ reliability, of the results. Next Question