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Which of the following data that can be separated into different categories that are distinguished by some non numeric characteristics?

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Which of the following data that can be separated into different categories that are distinguished by some non numeric characteristics?

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Largely there are two types of data sets
- Categorical or qualitative
- Numeric or quantitative

A categorical data or non numerical data - where variable has value of observations in form of categories, further it can have two types-
a. Nominal b. Ordinal

  • a.Nominal data has got named categories
    e.g. Marital status will be a nominal data as it will get observations in following categories- Unmarried, married, divorced/separated, widowed

  • b.Ordinal data will also take named categories but categories will
    have rank.
    e.g. Risk of acquiring a hospital based infection will have ordinal data set with categories like High, Medium and Low

Numeric data- where variable takes numerical value. It can again be of two types
a. Discrete b. Continuous

  • a. Discrete data has distinct set of values, which are countable and belonging to whole numbers set
    e.g. Number of students in the class. This variable can take value from 0 to 100 or more, but it will be countable number.

whereas,

  • b. Continuous data has defined range, and value of observation can take any value within that interval. In this case value belongs to set of real number within given interval.
    e.g. Height of students in the class first. This variable can take any value between 2.5ft to 4ft

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Which of the following data that can be separated into different categories that are distinguished by some non numeric characteristics?

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QuestionAnswer
is a collection of methods for planning experiments, obtaining data, and then organizing, summarizing, presenting, analyzing, interpreting, and drawing conclusions based on the data. Statistics
is the complete collection of elements to be studied. Population
is a sub-collection of elements drawn from a population. Sample
are things that describe a sample’s contents. Descriptive Statistics
is making inferences about what sample data may indicate about a population Inferential Statistics
data can be separated into different categories distinguished by some non-numerical characteristic. Qualitative
data consists of numbers representing counts or measurements. Quantitative
data result from either a finite number of possible values or a countable number of possible values. Discrete
numerical data results from infinitely many possible values that can be associated with measurement error. Continuous
sampling is when members of the population are selected in such a way that each has an equal chance of being selected. Random
sampling is when you subdivide the population into at least two different sub-populations that share the same characteristics and then draw a sample from each subgroup. Stratified
are numbers that describe a population. Parameters
are numbers that describe a sample. Statistics
sampling is when you divide the population into sections and randomly select some of those sections, and then choose all the members from the selected sections. Cluster
sampling is when you choose some starting point and then select every kth element in the population. Systematic
is when the mean is significantly less than the median. Left Skewed
is when the mean is significantly greater than the median. Right Skewed
asking people their political affiliation State of residence Gender Nominal
rating how good a movie is by awarding it one, two, three or four stars Letter grade in a class (A, B, C, D, or F) Size of soft drink ordered at a restaurant (small, medium, large) Ordinal
measuring the temperature in Fahrenheit Interval
measuring the time it takes to run a race Ratio
x with a line over it is known as Mean
Sx = (x is only on calculator, standard symbol is "s") Standard Deviation
number that appears most often in the set. Mode
Med = Median
the difference between the highest and lowest values in the set. Range
Standard Deviation Squared = Sample Variance
Greek sigma x = Population Deviation


What data can be separated into different categories that are distinguished by some non numeric characteristics?

Statistics.

Which data can be separated into categories?

Categorical data is a collection of information that is divided into groups.

What is the nature of data that can be distinguished by some numeric?

Quantitative data refers to any information that can be quantified, counted or measured, and given a numerical value. Qualitative data is descriptive in nature, expressed in terms of language rather than numerical values. Quantitative research is based on numeric data.

Which of the following nature of data can be characterized by numbers representing counts or measurements?

Quantitative data consist of numerical measurements or counts.

data separated categories distinguished numeric characteristics

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