For each item below: Identify the type of data (quantitative - discrete‚ quantitative - continuous‚ or qualitative) that would be used to describe a response. Give an example of the data. • Quantitative – Discrete: Data obtained that are discrete numbers. e.g. 1‚ 2‚ 3... • Quantitative – Continuous: Data from a population that is assumed to be measured accurately. • Qualitative : Categorization or description attributes of a population. e.g. red‚ blue‚etc • Number of tickets sold to
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Reject H0 Question 5 0 out of 1 points Questions 5 through 8 refer to the following: In 1985‚ the mean weight of players in the National Football League was 225 pounds. A random sample of 50 players taken during the 2012 season showed a mean weight of 249.7 pounds with a sample standard deviation of 35.2 pounds. The researcher is interested in finding evidence at the .05 level that the mean weight of NFL players has increased since 1985. Which of the following pairs of hypotheses is suggested
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Master of Business Administration-MBA Semester 1 MB0038 – Management Process and Organization Behavior - 4 Credits (Book ID: B1127) Assignment Set- 1 (60 Marks) Note: Each question carries 10 Marks. Answer all the questions. Q.1 Write a note on the managerial roles and skills. [10] [10] Q.2 Explain the social learning theory in detail. [10] [10] Q.3 Explain the Big 5 model of personality. [10] Q.4 What are the different factors influencing perception? [10] [10] Q.5 Write a note on contemporary
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difference between a population and a sample. In which of these is it important to distinguish between the two in order to use the correct formula? mean; median; mode; range; quartiles; variance; standard deviation. 2. The following numbers represent the weights in pounds of six 7year old children in Mrs. Jones’ 2nd grade class. {25‚ 60‚ 51‚ 47‚ 49‚ 45} Find the mean; median; mode; range; quartiles; variance; standard deviation. 3. If the variance is 846‚ what is the standard deviation? 4. If we have the
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Name:__Sanchia Campbell__________________________________________ Class: _HLT 362V___________________ Date: _7/20/2014_____________________________________________________________________________ EXERCISE 11 Questions to be Graded 1. What demographic variables were measured at least at the interval level of measurement? Age and Income‚ length of labor(hrs)‚ return to work (wk)‚ number of hours working per week. 2. What statistics were used to describe the length of labor in this study? Were
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examination grades for 120 students. Grade Cumulative frequency 1 9 9 2 25 34 3 35 p 4 q 109 5 (a) Number of students 11 120 Find the value of (i) p; (ii) q. (4) (b) Find the mean grade. (2) (c) Write down the standard deviation. (1) (Total 7 marks) 1 2. A standard die is rolled 36 times. The results are shown in the following table. Score 2 3 4 5 6 Frequency (a) 1 3 5 4
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inferences about a parameter. d. All of the above. 4. The measure of central tendency which is sensitive to extreme scores on the higher or lower end of a distribution is the: a. median. b. mean. c. mode. d. all of the above e. none of the above 5. A large mass of data can best be summarized pictorially by means of: a. the range b. a histogram c. the frequency table d. the variance 6. Any characteristic of a population distribution may properly be referred to as a: a. standard deviation. b. raw score
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central tendency. Under what condition(s) should each one be used? Mean- Works good when it comes to test scores Median- should be used when describing something like average income. Mode= is good is you want to see what is you best seeing product in a store situation. 2. Last year‚ 12 employees from a computer company retired. Their ages at retirement are listed below.First‚ create a stem plot for the data. Next‚ find the mean retirement age. Round to the nearest year. 55 77 64 77 69 63 62 64 85 64 56 59
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PART A: i) Male: Female: The mean value of life satisfaction for male is about 7.7459 while for female is 7.7101‚ which proves there is no significant different life satisfaction between male and female‚ thus gender does not affect life satisfaction a lot. But when it comes to sample variance‚ for male is 2.5684 while for female is 3.0081. From this pair of figures it is obvious that the life satisfaction for female is more flexible than male. Man’s life satisfactions are easy to be affected
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Write which populates an array with integer values read from a file. The program must take the items in the array and reverse them. You may use one array only to solve this problem. Write a program that array and determine how many times each integer was generated. Use a second array of size 101 to keep track of the number of times each integer was generated. Initialize each item in the second array to 0. For each item in the first array‚ use it as the index into the second array and increment
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