The goal of clustering a set of data is to_____ Group of answer choices divide them into groups of data that are near each other choose the best data from the set predict the class of data determine the nearest neighbors of each of the data
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- In the sampling, hypothesis testing and analysis of business research data, which of the following is true? Group of answer choices 1. We make inferences about the population parameters based on sample statistics 2. The sample should be representative of the population 3. A larger sample size is always better 4. Answers1 and 2 only 5. Answers 1, 2 and 3In the context of data patterns in a time series, ___________ is the unexplained deviation of a time series from a predictable pattern: Select one: a. inexplicable variation b. regular variation c. random variation d. seasonal variation e. irregular variationA technique for the study of interrelationships among variables, usually for the purposes of data reduction and the discovery of underlying constructs or latent dimensions is known as: a. Factor Analysis b. Structural Model Analysis c. Multiple linear regression d. Reliability Analysis
- Correct and detailed answer will be Upvoted else downvoted. No plagarism pleaseWhat is the group of information representing the qualitative or quantitative attributes of a variable or set of variables?a. Datab. Numbersc. Populationd. Variables3) The major variable is the central idea of the entire literature. Its sub-variables help specify which particular aspect of the major variable is being referred to. The indicators, on the other hand, are specific information that describes the sub-variables. Examples: Major variable: Study habits Sub-variable: Time required for studying, methods of studying, and place for studying Indicators: Employing patterned time intervals for effective studying: using mnemonics in memorizing the terms; and studying in one's ideal environment Instructions: Identify the major variables, sub-variables, and indicators of the examples of literature review. Example 3: On leadership Competencies and Management Skills (refer to the photo for the details)
- Over the past few decades, technological advances have led to a dramatic increase in the amount of recorded data. The use of smartphones, RFID tags, electronic sensors, credit cards, and the internet has facilitated the collection of data from phone conversations, emails, business transactions, product and customer tracking, business transactions, and web browsing. Data mining is the process of applying analytical techniques to large quantities of data to find hidden structures, patterns, and relationships among variables. Illustrate some applications of the data mining techniques in business are used in order to gain insight on customers and to uncover patterns to improve business processesWhich modeling techniques are suitable to build a predictive model ? (Multiple answer may be correct) Group of answer choices Multiple linear regression Classification tree Logistic regression Clustering(d) As part of a marketing program, a city block containing 4 households was selected and a sample of 3 households was sampled as follows. Jeremiah, the research assistant, identified the households and numbered each household from 1 to 4. He then want to list all combinations of the 4 households 2 at a time. These are: 1 and 2 1 and 3 1 and 4 2 and 3 2 and 4 3 and 4 Unfortunately, Jeremiah got this job because he was related to the Department Chairman, and he was very careless. He forgot the combina- tion 3 and 4. He chose a random number between 1 and 5 (it turned out to be 4) which corresponded to the combination 2 and 3. Thus households 2 and 3 were sampled. The variable of interest was out-of-pocket medical expenses incurred by the household (Table Q1 (d)). Table Q1 (d) : Out-Of-Pocket Medical Expenses Incurred by the Household Expenses ($) 345.00 Household 1 126.00 492.00 962.00 3 4 (ii) Based on Jeremiah's sampling procedure, what is the expected value of mean and variance of…
- A Problem Set 3-edited Mailings Review View Tell me AaBbCcDdEe AaBbCcDdEe AaBbCcDdEe AaBbCcDdEe Normal Body Text List Paragraph No Spacing 5. Table 1 shows the daily stock price of Apple Inc. (AAPL) in the past few trading days. Table 1. Daily stock prices of Apple Inc. 1- 4- 5- 6- 7- 8- 11- 12- 13- 14- 15- 18- Date Nov Nov Nov Nov Nov Nov Nov Nov Nov Nov Nov Nov Stock 255.1 256.7 256.4 256.5 259.4 260.1 262.2 262 264.5 262.6 265.8 265.7 Price Since the stock market closes on weekends, Table 1 only shows stock prices during weekdays. Please answer the following questions based on the given information. (a) Apply the moving average (MA) model with a three-day lag (q = 3) and a five-day lag (q =5) to forecast Apple Inc.'s stock price in the following three trading days (i.e., its stock price on November 19, 20 and 21). (Hint: calculate the stock price on November 19 first, and then use the estimated stock price of November 19 to forecast the stock price on November 20.) (ROUND TO ONE…The difference between a moving-average model and anexponential smoothing model is that_____.4.1 TYPES OF RANDOM VARIABLES. Which of the following describe continuous random variables? Which describe discrete random variables? The number of newspapers sold by the New York Times each month The amount of ink used in printing a Sunday edition of the New York Times The actual number of ounces in a 1-gallon bottle of laundry detergent The number of defective parts in a shipment of nuts and bolts The number of people collecting unemployment insurance each month