2023 Test on sections 6.1‚ ‚ and 6.2. Classify the following random variable as to whether it is discrete or continuous. 1) The number of runs scored in a baseball game. A) continuous B) discrete Ans = B 2) The cost of a road map. A) continuous B) discrete Ans = B Provide an appropriate response. 3) A random variable is A) generated by a random number table. B) the variable for which an algebraic equation is solved. C) a numerical measure
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products 90% of the time. For the next 10 products‚ the probability that he makes fewer than 2 incorrect inspections is 0.736. Answer Selected Answer: True Correct Answer: True • Question 3 5 out of 5 points A continuous random variable may assume only integer values within a given interval. Answer Selected Answer: False Correct Answer: False • Question 4 5 out of 5 points A decision tree is a diagram consisting of circles decision nodes‚ square probability
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fnfldfmk . You are required to show the effect of each of the following changes on profit and Break-Even-Volume from the information given below: Sales 50‚000 units Rs. 5.00 per unit Variable cost Rs. 3.00 per unit Fixed cost Rs. 70‚000 Changes: (i) Price changes by 20%. (ii) Volume decreases to 40‚000 units. (iii) Variable cost increases to Rs 3.50 per unit. (iv) Fixed cost decreases by 10%. 203 Ignou what do you know about the census 2011? 79 SBI mccb service sittings be done? 104 Mr.
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MGSC1206 Fall 2013 Due: Nov 1st‚ 2013 12:00 noon Assignment #2 Notes: (a) Assignments are to be done individually. (b) Be sure to use correct notation and show how you find each answer. (c) Assignments are to be remitted to the correct drop box on the second floor of Loyola. (d) No late assignments will be accepted. (e) Before beginning this assignment‚ you should have completed the following: • Reviewed the class examples • Completed the Algebra tutorial and related material‚ as
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S1 Notes Monday 16 th January 2012 Mr Aroui Statistical experiment: A test adopted for collecting data to provide evidence for or against a hypothesis. Event: A sub-set of possible outcomes of an experiment. Sample space: A list of all possible outcomes of an experiment. Discrete data: Discrete data can only take certain values in any given range. Number of cars in a household is an example of discrete data. The values do not have to be whole numbers (e.g. shoe size is discrete)
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of a random variable to attain all the possible values. Let me give an example. We toss a coin 3 times and try to find what the probability of obtaining head is? Here the event of getting head is known as the random variable. Now what are the possible values of the random variable‚ i.e. what is the possible number of times that head might occur? It is 0 (head never occurs)‚ 1 (head occurs once out of 2 tosses)‚ and 2 (head occurs both the times the coin is tossed). Hence the random variable is “getting
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the response variable hanges for a one unit step in the predictor Thus‚ an additional; $1‚023 of sales associated with each additional sales person working. c) Find the intercept‚ b0. b0=y-b1x =19.8-1.023(11.9) For this problem‚ use technology‚ rounding to three decimal places. b0=7.622 d) What does b0 mean in this contet? Is it meanful? The intercept serves as a starting value for the predicitons. It shuld only be interpreted if a 0 value for the predictor variable makes sense for
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Table of Contents Introduction Cricket involves numbers‚ the comparison of these numbers will give us an idea regarding how well a team is faring. The comparison of these number widely depends on Statistics to give us a rational conclusion. Cricket is therefore a sport which involves a lot of statistics‚ Statistics are needed to determine the performance of a team in various formats such as one day‚ international. It is also needed to determine the performance
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in a certain compound may be considered as a random variable‚ where X (0 < X < 1) has pdf fX (x) = 20x3 (1 − x)‚ 0 < x < 1. Suppose that the selling price of the above compound depends on the alcohol contents. Specifically‚ if 1/3 < X < 2/3‚ the compound sells for c1 dollars/gallon otherwise it sells for c2 dollars/gallon. If the cost is c3 dollars/gallon‚ find the probability distribution of the net profit per gallon. 2. The pdf of a random variable X is given by fX (x) = 6x(1 − x)‚ 0 < x < 1
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Learning outcomes 2. Introduction 3. Covariance a. Discrete Random Variable b. Continuous Random Variable c. Special cases 4. Correlation 5. Appendix 6. Summary 7. Exercises 8. Glossary 9. References Institute of Lifelong Learning‚ University of Delhi 2 Learning outcomes After you have read this chapter‚ you should be able to:1. Define Covariance. 2. Calculate the covariance for the discrete and Continuous Random Variables. 3. Consider the special cases of covariance. 4. Compute
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