PROBLEM SET 1 (With Instructions) Chapters 1 and 2 Ideally, you type answers to the questions asked in Word and copy and Paste any graphs or tables you have generated on excel. I know that some of you have very little practice in creating a professional looking document but we hope that you get better doing this as the semester progresses All Individual work 1. Problem 1.22 in text – Chapter 1 (P. 13). Answer all parts a-d. (0.5 point) 2. Problem 1.27 in text – Chapter 1. (P.
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PROBLEM SET 1 (With Instructions) Chapters 1 and 2 Ideally, you type answers to the questions asked in Word and copy and Paste any graphs or tables you have generated on excel. I know that some of you have very little practice in creating a professional looking document but we hope that you get better doing this as the semester progresses All Individual work 1. Problem 1.22 in text – Chapter 1 (P. 13). Answer all parts a-d. (0.5 point) 2. Problem 1.27 in text – Chapter 1. (P.
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males and females, and * Determine if there is an association between years of service and salary level for the population, males, and females. We will use basic statistical methods to perform the above analyses, which include frequency tables, histograms, boxplots, and scatterplots. We first calculated the proportion of males to females in the population and created a frequency table to display the results. For this calculation we are only using one categorical variable: gender. The proportion
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Bar Graphs & Pie Charts: follow area principle, (pie has to add up to 100%) Histograms: rectangles class intervals based on frequency Boxplots: less informative than histogram, (can’t tell shape unless unimodal) Statistics: Descriptive- how we cope w/ numbers [graphical methods (histograms, boxplots) numerical methods (mean, median)] Variable Types: QUANTITATIVE (numerical): Discrete- numbers are a certain gap apart, can’t have decimals (# kids in a house) Continuous- numbers can be arbitrarily
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features give additional information about the color and rotational invariance. So an improvement in the efficiency of image retrieval using CBIR is expected. Keywords— Content Based Image Retrieval (CBIR), Local Tetra Patterns (LTrP), Gabor Filters, Histogram Equalization, Moment Invariants I. INTRODUCTION The explosive growth of digital libraries due to Web cameras, digital cameras, and mobile phones equipped with such devices is making the database management by human annotation an extremely tedious
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nz-earthquakes-sept-2013.xlsx The spreadsheet contains details of all the earthquakes in New Zealand in September 2013. a) Create a Histogram for the Earthquake data. (Hint : A group width of 0.5 would work well) (10 marks) b) What shape is the histogram? (1 mark) c) Calculate the Mean, Range and Mode for the Earthquake data. (3 marks) d) Identify 1 way in which your histogram could be improved. (2 marks) e) Using the data and your answers above (2a, 2b, 2c) state 4 distinct features of
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and we have the stems of 3 to 9. histogram (age) Obtain the frequency distribution of the age data. Column 1 is the limit grouping ages. The first age to construct is 35 – 39. The width of all the age is 5, so the next age is 40 – 44. The last age to construct is 90 – 94 since the largest single data value is 93. Column 2 provides number of the richest people within the age group; this column is quantitative, discrete data. The frequency histogram is constructed using the lower age limits
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(b)Pre- Processing image 2.3. To segment red lesions, the intensity information of both green and red channels of the same fundus image is used for detecting the red lesions. To acauire this histogram matching is used in which the histogram of the green component of the image is modified with the histogram of the red component of the same retinal
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24, 46, 23, 31, 32, 45, 34, 37, 28, 40, 34, 38, 40, 52, 31, 33, 15, 27, 36, 40 Make (a) a frequency table and (b) a histogram. Then (c) describe the general shape of the distribution. (a) Frequency Table SPEED FREQUENCY PERCENTAGE 15-19 1 2.5 20-24 3 7.5 25-29 2 5 30-34 15 37.5 35-39 11 27.5 40-44 4 10 45-49 2 5 50-54 2 5 (b) Histogram (c) The general shape of distribution is unimodal. 19) (a) bimodal is usually a combination of two different distribution, for example heights
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Module 2 – Organizing and Describing Data Written Assignment 2 - In your own words, interpret the data and note the shape of the distribution of the data provided from Case Study: World's Richest People (Chapter 2, p. 36). Sample | Category | Frequency per Category | Rel. frequency per category (%) | Citizenship | Mexico | 1 | 4.00% | | United States | 14 | 56.00% | | Spain | 1 | 4.00% | | Hong Kong | 2 | 8.00% | | France | 2 | 8.00% | | Sweden | 1 | 4.00% | | Germany | 1
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