- Description
QNT/275
STATISTICS FOR DECISION MAKING
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QNT 275 Week 1 Apply Connect Week 1 Exercise
QNT 275T Apply Week 1 Connect® Exercise Week 1 Exercise
Which of the following is not a method of predictive analytics?
factor detection
outlier detection
bullet graphs
association learning
___________ refers to describing the important aspects of a set of measurements.
Cross-sectional analysis
Runs plot
Descriptive statistics
Time series analysis
Any characteristic of an element is called a ____________.
set
process
variable
D)census
A(n) ____________ variable can have values that indicate into which of several categories of a population it belongs.
qualitative
quantitative
ratio
interval
A ____________ variable can have values that are numbers on the real number line.
qualitative
quantitative
categorical
nominative
Jersey numbers of soccer players is an example of a(n) ___________ variable.
nominative
ordinal
interval
ratio
Which of the following is a quantitative variable?
the manufacturer of a cell phone
a person’s gender
mileage of a car
whether a person is a college graduate
whether a person has a charge account
Which of the following is a type of question used in survey research?
dichotomous
free response
rating
All of the other answers are correct.
___________ sampling is where we know the chance that each element will be included in the sample, which allows us to make statistical inferences about the sample population.
Convenience
Voluntary
Probability
Judgment
Which of the following is not a supervised learning technique in predictive analytics?
linear regression
factor analysis
decision trees
neural networks
______________ is the science of using a sample to make generalizations about the important aspects of a population.
Time series analysis
Descriptive statistics
Random sample
Statistical inference
The two types of quantitative variables are
ordinal and ratio.
interval and ordinal.
nominative and ordinal.
interval and ratio.
nominative and interval.
A Yes or No question is _____________.
dichotomous
evaluative
open-ended
systematic
Temperature (in degrees Fahrenheit) is an example of a(n) __________ variable.
nominative
ordinal
interval
ratio
A data set provides information about some group of individual _____________.
variables
elements
statistics
measurements
Examining all population measurements is called a_____________.
census
frame
sample
variable
__________ consists of a set of concepts and techniques that are used to describe populations and samples.
Traditional statistics
Random sampling
Data mining
Time series analysis
A ____________ is a set of assumptions about how sample data are selected and about the population from which the sample data are selected.
random sampling
statistical model
descriptive statistics
probability sampling
_________ is a necessary component of a runs plot.
Observation over time
Qualitative variable
Random sampling of the data
Cross-sectional data
Non-overlapping groups in random sampling of a population are called
clusters.
frames.
strata.
stages.
Which of the following is a categorical variable?
air temperature
bank account balance
daily sales in a store
whether a person has a traffic violation
value of company stock
_________ uses traditional or newer graphics to present visual summaries of business information.
Predictive analytics
Data mining
Association learning
Descriptive analytics
An identification of police officers by rank would represent a(n) ____________ level of measurement.
nominative
ordinal
interval
ratio
A set of all elements we wish to study is called a ____________.
sample
process
census
population
A sequence of operations that takes inputs and turns them into outputs is a ____________.
process
statistical inference
runs plot
random sampling
A _____ is a list of all the units in a population.
sample
frame
census
variable
College entrance exam scores, such as SAT scores, are an example of a(n) _____________ variable.
ordinal
ratio
nominative
interval
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Review the glossary in your textbook in preparation for this assignment.
Complete the Week 1 Exercise in Connect.
Define Ratio Variable.
A variable having values that are numbers which reflect quantities or measurements.
A characteristic from a sample or population that can assume different values for individual elements (members) of the sample or population.
A quantitative variable such that ratios of its values are meaningful and for which there is an inherently defined zero value.
Facts and figures from which conclusions may be drawn, generally for a specific study or issue.
Define Inferential Statistics.
Efforts to mislead users of statistical information including biased sampling, misleading chart, table and descriptive measures, and inappropriate analysis or inappropriate interpretation of the results.
The process of using a sample of measurements/values to make generalizations about the important aspects of a population of measurements/values.
A sampling design in which we divide a population into subgroups that do not overlap, then select a random sample from each subgroup (stratum).
A sample selected in such a way that every element in the population has an equal chance of being selected.
Define Variable.
A characteristic from a sample or population that can assume different values for individual elements (members) of the sample or population.
A variable having values that indicate into which of several categories the value for the respective sample or population element belongs.
Data collected over several time periods.
A variable having values that are numbers which reflect quantities or measurements.
Define Stratified Sampling.
Efforts to mislead users of statistical information including biased sampling, misleading chart, table and descriptive measures, and inappropriate analysis or inappropriate interpretation of the results.
A sampling design in which we divide a population into subgroups that do not overlap, then select a random sample from each subgroup (stratum).
A qualitative variable value for which there is no ordering or ranking; data values are not numerical and fit into categories.
A qualitative variable value for which there is ordering or ranking.
Define Sample.
The process of organizing and describing important elements of a set of values.
A sample selected in such a way that every element in the population has an equal chance of being selected.
The process of using a sample of measurements/values to make generalizations about the important aspects of a population of measurements/values.
A subset of the elements in a population.
Define Ordinal Variable.
A quantitative variable such that ratios of its values are not meaningful and for which there is not an inherently defined zero value.
Facts and figures from which conclusions may be drawn, generally for a specific study or issue.
A quantitative variable such that ratios of its values are meaningful and for which there is an inherently defined zero value.
A qualitative variable value for which there is ordering or ranking.
Define Descriptive Statistics.
The process of using a sample of measurements/values to make generalizations about the important aspects of a population of measurements/values.
A sampling design in which we divide a population into subgroups that do not overlap, then select a random sample from each subgroup (stratum).
The process of organizing and describing important elements of a set of values.
A sample selected in such a way that every element in the population has an equal chance of being selected.
Define Random Sampling.
A sampling design in which we divide a population into subgroups that do not overlap, then select a random sample from each subgroup (stratum).
A sample selected in such a way that every element in the population has an equal chance of being selected.
A qualitative variable value for which there is no ordering or ranking; data values are not numerical and fit into categories.
Efforts to mislead users of statistical information including biased sampling, misleading chart, table and descriptive measures, and inappropriate analysis or inappropriate interpretation of the results.
Define Qualitative Variable.
A variable having values that indicate into which of several categories the value for the respective sample or population element belongs.
Data collected over several time periods.
The set of all elements about which we want to draw conclusions.
A subset of the elements in a population.
Define Interval Variable.
Facts and figures from which conclusions may be drawn, generally for a specific study or issue.
A quantitative variable such that ratios of its values are not meaningful and for which there is not an inherently defined zero value.
A quantitative variable such that ratios of its values are meaningful and for which there is an inherently defined zero value.
A characteristic from a sample or population that can assume different values for individual elements (members) of the sample or population.
Define Nominative or Nominal Variable.
A qualitative variable value for which there is ordering or ranking.
A quantitative variable such that ratios of its values are meaningful and for which there is an inherently defined zero value.
A qualitative variable value for which there is no ordering or ranking; data values are not numerical and fit into categories.
A quantitative variable such that ratios of its values are not meaningful and for which there is not an inherently defined zero value.
Define Data Set.
Facts and figures from which conclusions may be drawn, generally for a specific study or issue
A variable having values that indicate into which of several categories the value for the respective sample or population element belongs.
A variable having values that are numbers which reflect quantities or measurements.
A characteristic from a sample or population that can assume different values for individual elements (members) of the sample or population.
Define Unethical Statistical Practices.
A quantitative variable such that ratios of its values are not meaningful and for which there is not an inherently defined zero value.
A qualitative variable value for which there is no ordering or ranking; data values are not numerical and fit into categories.
A qualitative variable value for which there is ordering or ranking.
Efforts to mislead users of statistical information including biased sampling, misleading chart, table and descriptive measures, and inappropriate analysis or inappropriate interpretation of the results.
Define Population.
The process of using a sample of measurements/values to make generalizations about the important aspects of a population of measurements/values.
The set of all elements about which we want to draw conclusions.
The process of organizing and describing important elements of a set of values.
A subset of the elements in a population.
Define Time Series Data.
The set of all elements about which we want to draw conclusions.
Data collected over several time periods.
The process of organizing and describing important elements of a set of values.
A subset of the elements in a population.
Define Quantitative Variable.
A variable having values that are numbers which reflect quantities or measurements.
A variable having values that indicate into which of several categories the value for the respective sample or population element belongs.
Data collected over several time periods.
The set of all elements about which we want to draw conclusions.