Categorical and Continuous Variables By SSG Huerta Aracely 18 July 2015 MHS 506 Biostatistics Categorical and Continuous Variables Variables and data can either represent measurements on some continuous scale, or they represent information about some categorical or discrete characteristics. Some examples of continuous variable are weight, height, and age. Categorical variables can be considered a person's gender, occupation, or marital status. Some variables could be considered both categorical
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STATISTICS & PROBABILITY THEORY 1. Consider the following data: 1, 7, 3, 3, 6, 4 the mean and median for this data are a. 4 and 3 b. 4.8 and 3 c. 4.8 and 3 1/2 d. 4 and 3 1/2 e. 4 and 3 1/3 2. A distribution of 6 scores has a median of 21. If the highest score increases 3 points, the median will become __. a. 21 b. 21.5 c. 24 d. Cannot be determined without additional information. e. none of these 3. If
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Question 2 – Explain the essence of Hypothesis testing. How related are null hypothesis and Alternative Hypothesis. How do you apply confidence interval in hypothesis testing? Question 3 – Explain the difference between T distribution and Z distribution. When and how do we use T distribution? What is the meaning of the number of degrees of freedom? Left Tail, right tail, 2 tail test: Try to understand the idea of hypothesis testing! Understand how all are participating. The confidence interval is used
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Syllabus Cambridge International A Level Further Mathematics Syllabus code 9231 For examination in June and November 2013 Contents Cambridge A Level Further Mathematics Syllabus code 9231 1. Introduction ..................................................................................... 2 1.1 1.2 1.3 1.4 Why choose Cambridge? Why choose Cambridge International A Level Further Mathematics? Cambridge Advanced International Certificate of Education (AICE) How can I find out more? 2
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Weeks 5 and 6 1. Find the area under the standard normal curve between z = 1.6 and z = 2.6. 2. A business wants to estimate the true mean annual income of its customers. It randomly samples 220 of its customers. The mean annual income was $61,400 with a standard deviation of $2,200. Find a 95% confidence interval for the true mean annual income of the business’ customers. 3. IQ test scores are normally distributed with a mean of 100 and a standard deviation of 15. An individual's IQ score
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Pre-requisite and Objective Adequate audience This course is suitable for people whose function involves capability evaluation in fields of tools/equipment/processes /materials/components Pre-requisite Basic statistical knowledge about standard deviation, normal distribution and control charts is required Objective After this course, trainees should be able to correctly perform capability evaluation and to precisely grasp its implication on studied characteristics 2 Confidential 2 Outlines
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Quiz 1 Status | Completed | Score | 100 out of 100 points | Instructions | This quiz is only 5 questions long. Please remember that only 8 quizzes are mandatory( I drop the lowest 4 quizzes for your overall quiz average). | | * Question 1 20 out of 20 points | | | A placebo can always be implemented in an experiment, and given to the control group.Answer | | | | | Selected Answer: | b. False | Correct Answer: | b. False | Answer Feedback: | While it IS
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12 3 5 9 8 6 2 4 a. What is the mean and median number of food products bought by these customers? (5 marks) b. Based on your answer under (a), and considering the mode, describe the shape of the distribution of these data. (5 marks) The sample standard deviation is (approximately) 3.33. c. Give the 95% confidence interval for the number of food products that these twelve individual customers bought. (5 marks) d. What does this confidence interval tell us about the average
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categorical and quantitative variables * Displaying distributions (pie charts, bar graphs, histograms, stem-and-leaf plots, time plots) * Shapes of data (e.g., symmetric vs. assymetric) * Definition of outliers Chapter 2: * Numerical summaries (mean, median, range, quartiles, variance, standard deviation) * Properties of numerical summaries (e.g., resistance) * Boxplots * Calculating numerical summaries (e.g., calculate standard deviation) Chapter 3: * Definition of mathematical
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costs of lost sales and backorders were conservatively estimated to be $11 millions; costs associated with having too much of the wrong inventory were an additional $10 million. 2. Based on the data is given, the mean of the normal distribution demand is 13,060, and standard deviation of actual demand is 4,257. Cu = 40 - 22 = 18 | Co = 22 - 15 = 7 | | | F(Q) = Cu/(Cu+Co) = 18/(18+7) | 0.72 | | | | Q=13,080+.72*4,257 | 16,124 | Optimal Order Quantity | Expected lost sales
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