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Classification of Data Type Before and After Coding STAT2103 CH1

Statistics11 CardsCreated 3 months ago

This deck covers key concepts in statistics, including differences between descriptive and inferential statistics, qualitative and quantitative data, populations and samples, and data distribution symmetry.

Explain the difference between descriptive and inferential statistics.

Descriptive statistics describes sets of data. Inferential statistics draws conclusions about the sets of data based on sampling.
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Key Terms

Term
Definition
Explain the difference between descriptive and inferential statistics.
Descriptive statistics describes sets of data. Inferential statistics draws conclusions about the sets of data based on sampling.
Explain the difference between qualitative and quantitative data.
Quantitative data are numerical in​ nature, while qualitative data are categorical in nature.
Explain how populations and variables differ.
A population is a set of units of interest to a study. A variable is a characteristic or property of the units being studied.
Explain how populations and samples differ.
A population is a set of units of interest to a study. A sample is a subset of the units of a population.
Suppose​ you're given a data set that classifies each sample unit into one of four​ categories: A,​ B, C, or D. You plan to create a computer database consisting of these​ data, and you decide to code the data as A=​1, B=​2, C=​3, and D=4. Are the data consisting of the classifications​ A, B,​ C, and D qualitative or​ quantitative? After the data are input as​ 1, 2,​ 3, or​ 4, are they qualitative or​ quantitative?
The original data (A, B, C, D) are qualitative because they represent categories. Even after coding them as 1, 2, 3, or 4, the data remain qualitative...
Are the data consisting of the classifications​ A, B,​ C, and D qualitiative or​ quantitative?
Qualitative, because they can only be classified into categories.

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TermDefinition
Explain the difference between descriptive and inferential statistics.
Descriptive statistics describes sets of data. Inferential statistics draws conclusions about the sets of data based on sampling.
Explain the difference between qualitative and quantitative data.
Quantitative data are numerical in​ nature, while qualitative data are categorical in nature.
Explain how populations and variables differ.
A population is a set of units of interest to a study. A variable is a characteristic or property of the units being studied.
Explain how populations and samples differ.
A population is a set of units of interest to a study. A sample is a subset of the units of a population.
Suppose​ you're given a data set that classifies each sample unit into one of four​ categories: A,​ B, C, or D. You plan to create a computer database consisting of these​ data, and you decide to code the data as A=​1, B=​2, C=​3, and D=4. Are the data consisting of the classifications​ A, B,​ C, and D qualitative or​ quantitative? After the data are input as​ 1, 2,​ 3, or​ 4, are they qualitative or​ quantitative?
The original data (A, B, C, D) are qualitative because they represent categories. Even after coding them as 1, 2, 3, or 4, the data remain qualitative if the numbers are just labels without meaningful numerical order or arithmetic.
Are the data consisting of the classifications​ A, B,​ C, and D qualitiative or​ quantitative?
Qualitative, because they can only be classified into categories.
After the data are input as​ 1, 2,​ 3, or​ 4, are they qualitative or​ quantitative?
Qualitative, because they cannot be meaningfully​ added, subtracted,​ multiplied, or divided.
Explain how the relationship between the mean and median provides information about the symmetry or skewness of the​ data's distribution.
The mean is affected by extreme​ values, while the median is not. If the data set is skewed to the​ right, then the median is less than the mean. If the data set is​ symmetric, the mean equals the median. If the data set is skewed to the​ left, the mean is less than the median.
((((symmetric, skewed to the​ right, or skewed to the​ left? )))) The salaries of all persons employed by a large University
Skewed right because the mean value would be more than the median value
((((symmetric, skewed to the​ right, or skewed to the​ left?)))) The grades on an easy test
Skewed left because the mean value would be less than the median value
((((symmetric, skewed to the​ right, or skewed to the​ left?)))) The amounts of time students in your class studied last year
Symmetric because the mean value would be nearly the same as the median value