QNT/275 STATISTICS FOR DECISION MAKING The Latest Version A+ Study Guide ******************************************* Entire Course Link http://www.uopstudy.com/QNT-275T *******************************************
______________ 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 ____________ 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
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
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 data set provides information about some group of individual _____________. variables elements statistics measurements
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
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