Subj Distance (yd) Years Distance (yd) Kinesiology Experience Subj Years %23 %23 Business Experience 180 3 26 200 2 220 8. 27 170 250 28 150 4 190 4. 29 220 5 220 30 190 4. 6. 300 14 31 230 12 7. 140 4 32 220 8. 200 6. 33 200 9. 190 34 120 8. 10 260 10 35 210 11 300 11 36 200 12 12 320 14 37 300 12 13 220 12 38 200 8. 14 200 8 39 190 6. 15 210 12 40 180 4 16 230 10 41 220 8. 17 240 12 42 190 6. 18 180 43 130 19 150 4 44 180 4. 20 250 12 45 160 4 21 290 8. 46 250 8. 22 230 6. 47 180 7 23 250 6 48 180 7 24 210 49 170 4. 25 250 12 50 150 4. Directions: The following questions are from the golf data you analyzed using your personal sheet. You must answer the following questions in the spaces provided using the results from your analysis. Remember to include the excel analysis sheet you used to answer the questions. la. What does a statistically significant difference mean, and how does a statistically significant difference relate to an important difference? b. When alpha level is most common in our field when determining a p-value? c. Which academic major was the most variable regarding driving distance? How do you know this? d. The typical score differed by Kinesiology majors. e. The typical score differed by Business majors. from the mean for the from the mean for the
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
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