|235 |434 |123 |325 | | a) How many class do you Suggest? b) What class interval do you suggest? c) Organize data in to a frequency distribution. d) Calculate relative frequency, cumulative frequency e) Draw frequency histogram. f) Draw frequency polygon. g) Calculate mean, median and mode for random data h) Calculate mean and Median for grouped data according to the frequency distribution of question no (c) 2. A student is taking two courses, history
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They are continuous data because they can be broken down to small units. The level of data that the car data is a ratio scale. The data is a ratio scale because each group of data can be broke down to find it mean, median, and mode. Below is a histogram graph of the car data provided. By using the data in the chart one can come up with many different measurement or center. Here is some example of measurement of center that is given in the graph and data average weight is 3316, average lengths 180
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Rubric Criteria | Instructor’s Comments/Point Deductions | 1. Displayed correct group frequency distribution8 points | | 2. Correct midpoint, relative frequency, and cumulative frequency columns7 points | | 3. Correct frequency histogram or bar graph7 points | | 4. Correct frequency polygon 7 points | | 5. Discussion of any unrealistic data points4 points | | 5.Discussion of confidence in validity of the data3 points | | All items in the grading rubric will be graded
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BES Tutorial Sample Solutions, S1/13 WEEK 2 TUTORIAL EXERCISES (To be discussed in the week starting March 11) 1. What is meant by a variable in a statistical sense? Distinguish between qualitative and quantitative statistical variables, and between continuous and discrete variables. Give examples. A variable in a statistical sense is just some characteristic of an ‘object’. It may take different values. Data on a quantitative variable can be expressed numerically in a meaningful way (e.g. height
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Variables1, in statistics, are any characteristic that varies with the members of the population. For example, Dr. Blackbeard’s Stat 101 class had a test and the results are in and not all had an equal score. Some score higher than others, and some scored lower. Thus, the test scores are considered a variable which in this case is a whole number between 0-25. Another variable is the amount of time the students took to study for the test. In this case, the variable varies between a second, minute
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Page 21 to 27 1. Discuss the differences between statistics as numerical facts and statistics as a discipline or field of study. 10. The Wall Street Journal (WSJ) subscriber survey (October 13, 2003) asked 46 questions about subscriber characteristics and interests. State whether each of the following questions provided categorical or quantitative data and indicate the measurement scale appropriate for each. a. What is your age? Quantitative b. Are you male or female? Categorical c. When
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Assignment II: Statistics Analysis in Business 1. What is the level of measurement for each of the following variables? a. Student IQ ratings b. Distance students travel to class c. Date of birth d. Number of hours students study per week 2. Place these variables in the following classification tables. Qualitative | Quantitative | | | e. Salary f. Gender g. Temperature h. Exam score i. Student rank in the class
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Lecture 12: Mean Shift and Normalized Cuts CAP 5415 Fall 2006 Each Pixel Data Vector Example Once we have vectors… • Group the vectors into clusters • Algorithms that we talked about last time: – K-means – EM (Expectation Maximization) • Today: (From Comanciu and Meer) – Mean-Shift – Normalized Cuts Mean-Shift • Like EM, this algorithm is built on probabilistic intuitions. • To understand EM we had to understand mixture models • To understand mean-shift, we need to understand
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MATH533 Given: AJ DAVIS is a department store chain, which has many credit customers and wants to find out more information about these customers. A sample of 50 credit customers is selected with data collected on the following five variables: 1. LOCATION (Rural, Urban, Suburban) 2. INCOME (in $1,000's – be careful with this) 3. SIZE (Household Size, meaning number of people living in the household) 4. YEARS (the number of years that the customer has lived in the current location)
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frequency columns to your frequency distribution. (8 points) 3. Create a frequency histogram using Excel. You will probably need to load the Data Analysis Add in within Excel. If you do not know how to create a histogram in Excel, view the video located at: http://www.youtube.com/watch?v=_gQUcRwDiik. Or a simple bar graph will also work. If you cannot get the histogram or bar graph features to work, you may draw a histogram by hand and then scan or take a photo (your phone can probably do this) of your
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