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Terms in this set (24)
nominal level of measurement
The nominal level of measurement is characterized by data that consist of names, labels, or categories only. The data are qualitative and cannot be ranked or ordered.
ordinal level of measurement
The ordinal level of measurement applies to qualitative data that can be arranged in some order (such as low to high). It generally does not make sense to do computations with data at the ordinal level of measurement.
A survey asked people about their party affiliation and recorded the responses as 1 for Democrat, 2 for Republican, 3 for Independent, and 4 for anything else. The survey found that the average (mean) party affiliation is 2.5.
This statement does not make sense because, while the data are coded with numeric quantities, the data are not quantitative in nature. Thus, it does not make sense to find an average of the responses.
Los Angeles reached a temperature of 100degreesF today, which was twice as hot as the 50degreesF in Denver.
This statement does not make sense because, while the data are quantitative, the corresponding measurement has an arbitrary zero point, implying that ratios between values are not meaningful.
The types of climates for different regions (tropical, temperature, arid, etc.)
They are qualitive because they don't count or measure anything
Data come in ___ basic types, qualitative and quantitative. Qualitative (or categorical) data consist of values that can be placed into nonnumerical categories. Quantitative data consist of values representing counts or measurements.
two
The weight classes of professional boxers (lightweight, middleweight, etc.)
ordinal
the salaries (in dollars) of actor
ratio
customer satisfaction ratings (unsatisfied, satisfied, very satisfied)
ordinal
A movie with a 4 star rating is twice as good as one with a 2 star rating
the ratio level of measurements does not apply
What is statistics?
the science of conducting studies to collect, organizes, analyze, summarize and draw conclusions from data
numerical data
statistics are _________ ____ that we work with -- it's the science of using these data to learn about our world and make conclusions
observational unit
the object that we are collecting information from is called the ___________ _____
data (or variable)
The different types of information we collect for each student is called:
What are the two distinct types of data?
Qualitative (or Categorial) and Quantitive (or Numerical_
Description of Qualitative (Categorical)
- can
be grouped into different categories
ex. gender (m or f), eye colors, outcomes of surgery, brand of cars or phones and so on
Description of Quantitative (Numerical)
- takes on numerical values & refer to the quantity, size
ex. age, income #, visits to the clinic last month, # of hours of study and so on
What type of data can take on any value in a given interval? (height, time it takes for you to talk from your room to your car)
continuous
What type of data can take on only particular, distinct values and not other values in between? (number of steps you take from your room to your car)
discrete
The population is the:
complete set of people or things being studied
a population parameter is:
a number that describes a characteristic of the population
a sample is the:
set of people or things from which the data are obtained
a sample statistic is:
a number that describes a characteristic of a sample
raw data is
the individual measurements collected
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