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
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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
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- In 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 variationIf two variables are highly correlated, does this imply that changes in one cause changes in the other? If not, give at least one example from the real world that illustrates what else could cause a high correlation.What is the group of information representing the qualitative or quantitative attributes of a variable or set of variables?a. Datab. Numbersc. Populationd. Variables
- An information will be having predictive value if it can assist to: a. Predict the past b. Predict the present c. Predict the environment d. Predict the futurQuarterly sales of a local department store over a 4-year period are given below: Quarters 2016 Q1 Sales (in millions) 500 Quarters 2018 Q1 Sales (in millions) 560 2016 Q2 490 580 2018 Q2 2018 Q3 2018 Q4 2019 Q1 2019 Q2 2016 Q3 570 630 2016 Q4 2017 Q1 2017 Q2 750 720 480 540 500 590 2017 Q3 580 2019 Q3 620 2017 Q4 740 2019 Q4 790 The data shows sign of seasonality. By computing seasonal indices for each quarter, forecast the sales for each quarter in year 2020, given that the estimated sales in 2020 isWhat is the difference between a dependent and an inde-pendent variable?
- Explain the kind of changes occur in the coefficient of a non variable while making changes in the orginal model ?I need help explaining probability and non-probability sampling and describing the different types of each?Which of the following describes the data observation that occurs most frequently? 1. Mean 2. Median 3. Mode 4. Range 5. Standard deviation
- 4. ABC Dog Food Company located in Ottawa sells large bags of dog food to warehouse clubs. ABC uses an automatic filling process to fill the bags. Weights of the filled bags are approximately normally distributed with a mean of 50 kilograms and a standard deviation of 1.25 kilograms. (a) What is the probability that a filled bag will weigh less than 49.5 kilograms? (b) What is the probability that a randomly sampled filled bag will weigh between 48.5 and 51 kilograms? (c) What is the minimum weight a bag of dog food could be and remain in the top 15% of all bags filled? (d) ABC is unable to adjust the mean of the filling process. However, it is able to adjust the standard deviation of the filling process. What would the standard deviation need to be so that 2% of all filled bags weigh more than 52 kilograms?DFC Company has recorded the past years sales for the company: Year(t) Sales(x) (in Million Pesos) 2011(1) 2012(2) 2013(3) 2014(4) 2015(5) 2016(6) 2017(7) 2018(8) 2019(9) 2020(10) 219 224 268 272 253 284 254 278 282 298 Use the naïve model. Compute for MAE and MSE Use a three period moving average. Compute for the MAE and MSE Use the simple exponential smoothing to make a forecasting table. Compute the MAE and MSE of the forecasts. Alpha = 0.1 Use the least square method to make the forecasting table. Compute the MAE and MSE *** Use excel or r programming3) 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)