Which is a negatively skewed distribution?
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Which is a negatively skewed distribution?
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- Which BEST describes the shape of the distribution? Uniform Skewed right Skewed left SymmetricalAn amusement park keeps track of the percentage of individuals with season passes according to age category. An independent tourist company would like to show that this distribution of age category for individuals buying season passes is different from what the amusement park claims. The tourist company randomly sampled 200 individuals entering the park with a season pass and recorded the number of individuals within each age category. Age Category Child (under 13 years old) Teen (13 to 19 years old) Adult (20 to 55 years old) Senior (56 years old and over) Number of Individuals 56 86 44 14 The tourist company will use the data to test the amusement park’s claim, which is reflected in the following null hypothesis. H0:pchild=0.23H0:pchild=0.23, pteen=0.45pteen=0.45, padult=0.20padult=0.20, and psenior=0.12psenior=0.12. What inference procedure will the company use to investigate whether or not the distribution of age category for individuals with season passes is…Each day a hospital records the number of people who come to the emergency room for treatment. In the last week, the observation from Sunday to Saturday are 11, 8, 12, 14, 7, 39, 57. Would you expect the Poisson distribution to better describe, or more poorly describe, the number of weekly admissions to the hospital for a rare disease? Why?
- Identify and sketch three distribution shapes that are symmetric.Aleks spins a 9 sided spinner 56 times. Each of the nine sides has a different colour on it. He records the number of times that he spins the colour purple. Is it reasonable to approximate this distribution with a normal distribution? Give a reason.What position in the distribution corresponds to a z-score of z = +2.00?
- in "a" the blank is "z" and "t" distributionGeneral Social Survey (GSS) 2006 collected the data of the number of people in each household in the U.S. Question: Describe the shape of the distribution. Skewed to the left, or positively skewed Skewed to the left, or negatively skewed Not skewed, or (almost) symmetrical Skewed to the right, or positively skewed Skewed to the right, or negatively skewedWhich of the following is a consequence of increasing variability? a. The distance from one score to another tends to increase, and a single score tends to provide a more accurate representation of the entire distribution. b. The distance from one score to another tends to increase, and a single score tends to provide a less accurate representation of the entire distribution. c. The distance from one score to another tends to decrease, and a single score tends to provide a more accurate representation of the entire distribution. d. The distance from one score to another tends to decrease, and a single score tends to provide a less accurate representation of the entire distribution.
- The accompanying histogram shows the lengths of hospital stays (in days) for all female patients admitted to a certain hospital during one year with a primary diagnosis of acute myocardial infarction (heart attack). Complete parts (a) through (c) below. a) From the histogram, determine whether the mean or median is larger. Explain. A. Because the distribution is nearly symmetric, the mean is expected to be larger than the median. B. Because the distribution is nearly symmetric, the mean is expected to be about the same as the median. C. Because the distribution is skewed to the high end, the mean is expected to be larger than the median. D. Because the distribution is skewed to the high end, the mean is expected to be smaller than the median. E. Because the distribution is skewed to the low end, the mean is expected to be larger than the median. F. Because the distribution is skewed to the low end, the mean is expected to be…You can tell if a distribution is normal because it is Approximately bell-shaped and symmetrical Skewed to the right or left Empirical and statistically significant Independent
