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2. Which of the following time-series forecasting methods would not be used to forecast a time series that exhibits a linear trend with no seasonal

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2. Which of the following time-series forecasting methods would not be used to forecast a time series that exhibits a linear trend with no seasonal or cyclical patterns? (Points : 1) a. Dummy variable regression b. Linear trend regression c. Holt Winter's double exponential smoothing d. Multiplicative Winter's method e. Both A and D

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7. Using the normal distribution to determine proportions, percentiles, and percentile Aa Aa ranks Tai chi exercise may reduce blood pressure (BP) and serve as a practical, nonpharmacological adjunct to conventional hypertension management. A geriatric psychologist is interested in studying nonpharmacological approaches for senior citizens struggling with prehypertension. Systolic blood pressure scores for senior citizens follow a normal distribution with u = 110 and o = 21. Use the Distributions tool to help answer the questions that follow. Note: To find the probability above or below a z-score, click on the normal curve icon with one line, and position the line at the appropriate z-score on the horizontal axis. The areas under the standard normal curve above and below the z-score will be displayed to the left and right of the vertical line, respectively. To find the probability between two z-scores, click on the normal curve icon with two lines, and position the left line at the lower z-score and the right line at the higher z-score. The area under the normal curve between the vertical lines will be displayed in blue. Standard Normal Distribution Mean = 0.0 Standard Deviation = 1.0 AAA The highest possible z-score that is still in the lowest 80% of the systolic blood pressure distribution is z =In a university class that includes 120 students, mostly non-traditional, the Mean age is 32, with a standard deviation 12 students, and with a normal distribution. Six of these students are international students. 1. What is the probability that, if one student is picked at a random, he/she be a teenager (12 to 19 years old)? You need to (somewhat] critically think about this before tackling it!! 2. What is the probability that if ONE student is selected at random, he/she will be an international student? 3. What is the probability that if ONE student is selected at random, his/her age be between 28 to 30 years old? 4. What is the probability that if on student is selected at random, his/her age be between 28 to 36 years old? 5. Suppose we select, at random, a sample of 9 students from this class. What is the probability that the MEAN age of that sample will be more than 38 years old? Show your work! Write the relevant Formula and the graph

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