WGU C207 Data Driven Decision Making Module 1

Assume you are measuring the various lengths of used pencils, and you collect the following data points (in inches): 1.37, 2.65, 2.78, 3.46, 3.91. What kind of data are these data points? a) continuous data b) nominal data c) discrete data d) ordinal data a) continuous data In a set of continuous data, a point can lay along any point in a range of data. A data point that can only take on whole values and has boundaries is called what? a) continuous b) nominal c) discrete d) ordinal c) discrete Discrete data points are always whole integers. If a measure is consistent and repeatable it is said to be _. a) good b) correct c) valid d) reliable d) reliable To be considered reliable, a measure must be repeatable in multiple locations under diverse conditions. A small group from which you make an inference about an entire population is called a __________. a) sample b) representation c) model d) medium a) sample If chosen properly, a sample can make predictions about an entire population. Cleaning and organizing data that has been collected is known as _. a) data cleanup b) data entry c) data management d) data mining c) data management Managing your data is as important as your analysis. The first step in the Davenport-Kim three-stage model is to frame the problem by recognizing what the problem is and then reviewing previous findings to begin to structure the analysis. T/F T. Stage #1 is to frame the problem by recognizing what the problem is and then reviewing previous findings to begin to structure the analysis. Stage #2 is to solve the problem. Stage #3 is the communicate your findings. The stage that involves the most intense statistics and data work is stage 3, communicating results. T/F F. The stage that involves the most intense statistics and data work is stage 2, solving the problem. This step includes data modeling, data collection, and data analysis. The following are examples of nominal data: T/F male/female red/blue living/deceased T. Nominal data, sometimes called categorical data, places objects into a category. Interval data has an order and all the objects are an equal interval apart. T/F T. Interval data has an order and all the objects are an equal interval apart. You cannot have a natural zero point in interval data. Observational studies are often used when a surveyor wants to adjust different variables and take note of the effects. T/F F. Observational studies are used when it is impractical or impossible to control the conditions of the experiment. Data is valid if it can be repeated by the same person in the same lab each and every time the experiment is executed. T/F F. Data is only valid if the experiments can be executed by more than one individual in different locations (not necessarily different conditions as that could be part of the experiment). Big Data A catch-phrase that describes a massive volume of data that is so large that it's difficult to process using traditional database and software techniques Blind Study A study performed where the participants are not told if they are in the treatment group or control group. Continuous Data Data that can lay along any point in a range of data Data Management The management, including cleaning and storage, of collected data Decision Tree Analysis The diagraming of possible alternatives and their expected consequences in order to formulate possible courses of actions in order to make decisions 3/14/26, 1:42 PM WGU C207 Data Driven Decision Making Module 1 / 1/16 Discrete Data Data that can only take on whole values and has clear boundaries Quantitative analysis is another name for what? a) algebra b) mathematics c) statistics d) probability c) statistics If a dataset is presented on a scale of hours per week, which scale of measurement is being used? a) nominal b) ordinal c) interval d) ratio d) ratio