We have two sets of movie ratings, set 1 is African movies and set 2 is American movies. An African movie X has a rating of 5.5, and its z-score in set 1 is 0.3. An American movie Y has a rating of 5.7, and its z-score in set 2 is 0.2. Is it true to say, "Relative to their own rating distributions, movie X has a better rating than movie Y"? Select one: True False

We have two sets of movie ratings, set 1 is African movies and set 2 is American movies. An African movie X has a rating of 5.5, and its z-score in set 1 is 0.3. An American movie Y has a rating of 5.7, and its z-score in set 2 is 0.2. Is it true to say, "Relative to their own rating distributions, movie X has a better rating than movie Y"? Select one: True False

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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An 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…
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Here is an example from John and Jenn. When we return exams in our classes, we find it beneficial to share with students information on the distribution of scores. We provide this information so that students will have an idea of how they scored on the exam in comparison to their peers. However, deciding which descriptive information to provide to the class is not always an easy decision. These are modified grades from one of Jenn’s statistics classes. For this data set, the mean is 77, the mode is 92, and the median is 86. If you were the professor of the class, do you think sharing the mean scores on the exam with the class is a representative score of the data set? Why or why not? 9 or 11. The researchers predicted that the more a mother weighed during pregnancy, the higher the fat mass would be in the child. Such findings would support the developmental over nutrition hypothesis, which states that overeating during key developmental times has an influence on the offspring. The…
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Last year over 7000 students took an entrance exam at a certain state university. Kareem's score was at the 44th percentile. Lella's score was at the 93rd percentile. (a) Which of the following must be true about Kareem's and Leila's scores? Both Kareem and Leila scored higher than the median. O Both Kareem and Lella scored below than the median. O Leila scored higher than Kareem. O Kareem scored higher than Leila. (b) Which of the following must be true about Kareem's score? O About 44% of the students who took the exam scored lower than Kareem. O Kareem got about 44% of the questions correct. O Kareem's score was in the top half of all scores. O Kareem missed 56 questions. Explanation Check X 3 Ⓒ2022 McGraw Hill LLC. All Rights Reserved. Terms of Use | Privacy Center
A researcher believes that among the residents of a remote community, 30% have type O blood, 50% have type A blood, 10% have type B blood and 10% have type AB blood. She takes a random sample of 80 residents and finds that 20 had type O blood, 40 had type A blood, 12 had type B blood and 8 had type AB blood. Do the data follow the hypothesized distribution of blood type for this community? Test at a = .05. Round your answers to three decimal places, if necessary. Null hypothesis: Ho: Po = 0.3, PA = 0.5, PB = 0.1, PAB = 0.1 20 40 12 8 80 80 80 80 1 1 1 20 40 8 Ho: Po = Ho: Po = Alternative hypothesis: Ho: Po = PA = PB = PAB = Ha: po # Type O 1 Ha: Po PA PB = PAB = 4 20 › PA = PA = Type 0 20 24 40 80 80 Ha: Po 0.3, PA # 0.5, PB At least one of the proportions is different. Complete the table of observed counts: Type O , PA # 0.667 Type A PB = PB = 40 Type A 40 What is the test statistic? 2.667 1 ,PB # 0 , PAB = 1 12¹ PAB Complete the table of expected counts under the null hypothesis: 12…