Introduction to Statistics: Week 2 Assignment � Data Types, Variables, and Statistical Concepts
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Introduction to Statistics: Week 2 Assignment – Data Types, Variables, and Statistical Concepts Week 2 Problems 1.Choose the correct answer bellow: A. It is an estimate or prediction or some other generalization about a population based on information contained in a sample B. It is a characteristic or property of an individual experimental unit C. It is the process used to assign numbers to variables of individual population units D. It is the science that deals with collection, classification, and interpretation of information or data 2. Explain the difference between qualitative and quantitative data Choose the correct answer bellow A. Quantitative data are collected from an observational study , while qualitative data are from a designed experiment B. Quantitative data are data from a sample, while qualitative data are data from a population C. Quantitative data are numerical in nature, while qualitative data are categorical in nature D. Quantitative data are data from a population, while qualitative data are data from a sample E. Quantitative data are categorical in nature, while qualitative data are numerical in nature F. Quantitative data are collected from a designed experiment, while qualitative data are from a observational study 3. Explain how p opulations and variables differ. Choose the correct answer bellow:
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A. A population is a set of units of interest to a study. A variable is a subset of the units of a population B. A variable is a set of units of interest to a study. A population is a characteristic or property of the units being studied. C. A population is a set of units of interest to a study. A variable is an object upon which data is collected D. A population is a set of units of interest to a study. A variable is a characteristic or property of the units being studied 4. Define statistical thinking. Choose the correct answer bellow: A. Statistical thinking involves applying rational thought and the science of statistics to critically assess data and interferences B. Statistical thinking is a statement about the degree of uncertainty associated with a statistical inference C. Statistical thinking utilizes sample data to make estimates, decisions, predictions, or other generalization about a larger set of data D. Statistical thinking is a series of actions or operations that transforms inputs to outputs 5. 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=, B=, 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? Are the data consisting of the classifications A, B, C, and D qualitative or quantitative? A. Quantitative, because they are measured on a naturally occurring numerical sale B. Quantitative, because they can only be classified into categories C. Qualitative, because they can only be classified into categories
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