MGMT650 2021 July Week 1 Practice Latest
MGMT650 Statistics for Managerial Decision Making
Practice Week 1
Question 1 Match
New sources of data designed for your purposes are
Existing sources of data created by others for different purposes are
1. primary sources
2. secondary sources
Question 2 Match
Numbers without units and with which arithmetic is not meaningful, identifying labels which name categories, or information which answers questions are
Measurements consisting of numbers with units and with which arithmetic is meaningful are
1. qualitative and categorical data
2.quantitative data
Question 3 Match
Quantitative data that measure how much with any value in between values possible are
Quantitative data that count how many are
1. discrete
2. continuous
Question 4 Match
Quantitative data where scale zero means quantity = 0, and the ratio of two values is meaningful, are called
Qualitative data consisting of labels without a sense of order or rank are called
Qualitative data consisting of labels with a sense of order or rank are called
Quantitative data where the difference between measurements is relative, and scale zero is a place holder that does not mean quantity = 0, are called
1. nominal data
2. ordinal data
3. interval data
4. ratio data
Question 5 Match
Interval or ratio measurements are
Nominal or ordinal measurements are
1. quantitative
2. qualitative
Question 6 Match
Measurements with a numeric scale and units are
Labels that identify or answer questions are
1. interval or ratio data
2. nominal or ordinal data
Question 7 Match
Social security numbers, street addresses, and political affiliation are
Potato sack weights in pounds, radiation at Punggye-ri Test Site in rads, and stock prices in $ are
1. qualitative
2. quantitative
Question 8 Match
Gender, name of stock exchange (NYSE, AMEX, and OTC), and account ID's are
Temperature in deg F, temperature in deg C, and Scholastic Aptitude Test (SAT) scores are
Distance, height, weight, time, and temperature deg K are
Size (small, medium, and large), quality (poor, good, excellent), and doneness (rare, medium, and well) are
1. nominal
2. ordinal
3. interval
4. ratio
Question 9 Match
The number of defects in a manufacturing lot , the number of cars in lot, and the number of miles on odometers are examples of
Distances, times, and weights are examples of
1. discrete data
2. continuous data
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Solution: MGMT650 2021 July Week 1 Practice Latest