Chapter 2: Q2.5 (page 40)
Of the variables you have studied so far, which type yields non numerical data ?
Qualitative Variables can't be expressed in numerical data.
Over 30 million students worldwide already upgrade their learning with Vaia!
All the tools & learning materials you need for study success - in one app.
Get started for free
For instance, consider the grouped days-to-maturity data given in Table (b) on page .
From that table, we see that the cumulative frequency of investments with a maturity period of less than day is and, therefore, the cumulative relative frequency is.
Table shows all cumulative information for the days-to-maturity data.
Cumulative information for days-to-maturity data.
a. Round each observation to the nearest year and then construct a stem-and-leaf diagram of the rounded data.
b. Truncate each observation by dropping the decimal part, and then construct a stem-and-leaf diagram of the truncated data.
c. Compare the stem-and-leaf diagrams that you obtained in parts (a) and (b).
Adjusted Gross Incomes. The Internal Revenue Service (IRS) publishes data on adjusted gross incomes in the document Siarisuics of Income, Individual Income Tax Reforms. The following relative-frequency histogram shows one year's individual income tax returns for adjusted gross incomes of less than 50,000.
Drug dealer motivation is traditionally attributed to greed or social pressures. Researchers R. Highland and D. Dabney explore possible personality characteristics as a motivation in the article "Using Adlerian Theory to Shed Light on Drug Dealer Motivations" (Applied Psychology in Criminal Justice, Vol. 5, Issue 2, pp. 109-138). The following table lists the types of drug sold from a sample of convicted drug dealers.
Population distribution.
Forearm Length. In 1903, K. Pearson and A. Lee published the paper "On the Laws of Inheritance in Man. I. Inheritance of Physical Characters" (Biometrika, Vol. 2, pp. 357-462). The article examined and presented data on forearm length, in inches, for a sample of 140 men, which we present on the Weiss Stats site.
a. use the technology of your choice to identify the modality and symmetry (or non-symmetry) of the distribution of the data set.
b. if unimodal, classify the distribution as symmetric right-skewed. or left-skewed.
What do you think about this solution?
We value your feedback to improve our textbook solutions.
