Solution Manual For Applied Statistics in Business and Economics By David Doane Questions and Answers 100 Pass
Applied Statistics in Business and Economics Study Guide by David Doane Solution Manual | Exam Ready A+ Scored Statistics - answer - is the science of collecting, organizing, analyzing, interpreting, and presenting data. Descriptive Statistics - answer - refers to the collection, organization, presentation, and summary of data (either using charts and graphs or using a numerical summary.) Inferential Statistics - answer - refers to generalizing from a sample to a population, estimating unknown population parameters, drawing conclusions, and making decisions. Observation - answer - is a single member of a collection of items that we want to study, such as a person, firm, or region. Variable - answer - is a characteristic of the subject or individual, such as an employee's income or an invoice amount Data Set - answer - consists of all the values of all the variables for all the observations we have chosen to observe. Univariate Data Sets - answer - one variable Bivariate Data Sets - answer - two variables Multivariate Data Sets - answer - more than two variables Categorical Data (Qualitative Data) - answer - have values that are described by words rather than numbers Numerical Data (Quantitative Data) - answer - arise from counting, measuring something, or some kind of mathematical operation. Coding - answer - values of the categorical variable might be represented using numbers: 1 = Cash 2 = Credit 3 = Gift Card Binary Variables - answer - some categorical variables have only two values: 1 = female 2 = male Discrete Data - answer - a variable with a countable number of distinct values. Continuous Data - answer - a numerical variable that can have any value within an interval. Time Series Data - answer - each observation in the sample represents a different equally spaced point in time (years, months, days) Cross Sectional Data - answer - each observation represents a different individual unit (a person, firm, geographic area) at the same pint in time. Nominal Data - answer - are the same as "qualitative," "categorical," or "classification" data. Did you file an insurance claim last month? 1. Yes 2. No Ordinal Data - answer - codes connote a ranking of data values. What size automobile do you usually drive? 1. Full-size 2. Compact 3. Subcompact Interval Data - answer - is not only a rank but also has meaningful intervals between scale points. Likert Scale - answer - is a special case that is frequently used in survey research. "How would you rate your internet service provider?" (Check one) Terrible, Poor, Adequate, Good, or Excellent Ratio Data - answer - have all the properties of the other three data types, but in addition possess a meaningful zero that represents the absence of the quantity being measured. Sample - answer - a subset of the population that we will actually analyze. Sample size is denoted by: n Excel function: =COUNT(XData) Population - answer - all of the items that we are interested in. May be either finite (all of the passengers on a particular plane) or effectively infinite (all of the Cokes produced in an ongoing bottling process) Population size is denoted by: N Parameter - answer - a measurement or characteristic of the population (a mean or proportion). Statistic - answer - is a single measure, reported as a number, used to summarize a sample data set. a numerical value calculated from a sample (a mean or proportion). Usually (but not always) represented by a Roman letter: Target Population - answer - contains all the individuals in which we are interested. Sampling Frame - answer - is the group from which we take the sample. Random Sampling - answer - items are chosen by randomization or a chance procedure. Non-random Sampling - answer - is less scientific but is sometimes used for expediency. Simple Random Sample - answer - every item in the population of 'N' items has the same chance of being chosen in the sample of 'n' items. Sampling without Replacement - a
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