Answer number 33,34 and 35 TEST III. IDENTIFICATION. Identify what type of variable are the following. In your answer sheet, Shade A if the variableis INTERVAL, Shade B if NOMINAL, Shade C if RATIO and Shade D if ORDINAL.21. Military Title22. Temperature in degree Celsius23. Birthplace29. Means of Transportation30. How internet is used at home31. Freshman, Sophomore32. Person's net worth24. Year Level25. Favorite Type of Music26. Clothing (hat, shirt, shoes)27. A score in 5-item quiz in Maths28. Feeling for today33. Male or Female34. 1, 2, 3, 4, 535. Political Affiliation

33. Male or Female = Nominal Variable SHADE B A nominal variable is qualitative in nature and are…

Answered: 33. Male or Female 34.1, 2, 3, 4, 5 35.…

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter2: Introduction To Spreadsheet Modeling

Section: Chapter Questions

Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...

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21 If two variables were perfectly correlated, what would the coefficient of correlation r equal? Select one: a. 1 b. -1 c. 0 d. B or C e. none of the above
38
3) 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)
Part B?
. Prepare a scatter diagram for each of these data sets and then express in words the apparent relationship between the two variables. Put the first variable on the horizontal axis and the secondvariable on the vertical axis.b. Temperature (°F) 65 63 72 66 82 58 75 86 77 65 79Error rate 1 2 0 0 3 3 1 5 2 1 3
A marketing analyst wants to examine the relationship between sales (in $1,000s) and advertising (in $100s) for firms in the food and beverage Industry and collects monthly data for 25 firms. He estimates the model Sales-o Advertising. The following ANOVA table shows a portion of the regression results. Regression Residual df 1 23 55 78.53 504.02 MS 78.53 21.91 T 3.58
Assume you are the owner of a restaurant. Create a questionnaire showing appropriate options to measure customer satisfaction or customer experience with respect to the restaurant food and service. Keep in mind a suitable flow of questions while creating the questionnaire. The following types of questions can be included in the survey: • Dichotomous (2 options, example Yes/ No) • Single select (select only 1 option) • Multiple choice (example: select all that apply) • Scales (example: Excellent-Average-Poor, Strongly agree-Agree-Neutral-Disagree-Strongly disagree) Criteria Correct flow of questions Appropriate options given along with questions Questions included matches survey objectives Questions’ vocabulary suitable to industry mentioned
13 true or false Descriptive statistics are too basic therefore not very useful in data analytics.
Figure 1 shows the general discriminatory test for health status prediction. "Perfect test cut-off True negative; TN (specificity) True positive; TP (sensitivity) False negative (FN) False positive (FP) Healthy Sick (a) Test cut-off Moving cut-off to left reduces false negatives (higher specificity) at cost of reduced sensitivity Moving cut-off to right reduces false positives (higher sensitivity) at cost of reduced specificity TN TP FN FP Healthy Sick (b) Figure 1. The Discriminatory Test with (a) A Good Discrimination Test Cut-off, and (b) A Bad Discrimination Test Cut-off i. What is your next action, if you obtain a perfect discriminatory test result (where both false negative and false positive rate are near zero) during model training? Justify your action. ii. In which phase of machine learning methodology do you move the test cut-off point as shown in Figure 1(b)? Justify why you should do that.
One way of determining that the problem, rather than the symptom, is being addressed is a technique called 5 Hows 5 Whys 5 Whens 5 Whos
1. Give an example of where you can infer a. A business decision b. A technical decision when repairing your neighbour's laptop
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33. Male or Female 34.1, 2, 3, 4, 5 35. Political Affiliation