Classify each of the following nominal, ordinal, interval or ratio level data. The time required to produce each tire on an assembly line. The number of quarts of milk a family drinks in a month. The age of each employee in URS
Classify each of the following nominal, ordinal, interval or ratio level data. The time required to produce each tire on an assembly line. The number of quarts of milk a family drinks in a month. The age of each employee in URS
Classify each of the following nominal, ordinal, interval or ratio level data. The time required to produce each tire on an assembly line. The number of quarts of milk a family drinks in a month. The age of each employee in URS
Classify each of the following nominal, ordinal, interval or ratio level data.
The time required to produce each tire on an assembly line.
The number of quarts of milk a family drinks in a month.
The age of each employee in URS
The ranking of four machines in your plant for they have designated as excellent, best, satisfactory and worst.
The telephone area code of clients.
The dollar sale at the local pizza house each month.
The response time of an emergency unit.
The volume of fill in soft drinks bottle in ounces
The ranking of a company in MMDC
The number of ticket sold at a movie theatre on any given night.
The employees ID number.
The identification number on a questionnaire.
The per capita income.
The trade balance in dollars.
Socio-economic class (low, middle, upper).
Gender
Differentiate the following by providing specific examples. Give at least two answers for each number..
Population vs. sample
Parameter vs. statistics
Descriptive statistics and inferential statistics
Quantitative data vs. qualitative data
Discreet data vs. continuous data
Transcribed Image Text:2. The steel bar with a cross-sectional area of 200 mm carries the axial force at the position shown
in the figure. If the modulus of elasticity of steel is 200 GPa, determine the total change in
length of the bar.
12 kips
18 kips
10 kips
20 kips
3ft
31t
Statistics that help describe, summarize, and present information extracted from data. Descriptive statistics include concepts related to measures of central tendency, measures of variability, measures of frequency, shape of distribution, and some data visualization techniques/tools such as pivot tables, charts, and graphs.
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