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Dotplot of overall hot No . 15 overall The average professor rated yes has a higher overall raiting.To graph categorical data, you can use pie

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Dotplot of overall hot No . 15 overall The average professor rated yes has a higher overall raiting.To graph categorical data, you can use pie charts or bar charts, both which can be found on the GRAPHS menu command in MINTAB Pie Chart 11. Make a pie chart of the categorical variable college and interpret the graph Pie Chart of college Almost 3 quarter is for De Anza and the rest for Foothill. Bar Charts 12. Make a simple bar chart of the categorical variable gender and interpret the graph. Chart of gender Count Bar Charts pinder Most of them for male but there is not that much of difference.13. Make a clustered bar chart of the variables hot and smiley. Compare the smiley rating between "hot" and "not hot" instructors. Chart of hot, smiley Count The professors that were rated as "not hot" were generally positive and neutral, with few negative smileys. The professors that were rated as "hot" are almost all positive and neutral, with absolutely no negative.Math 10 - Lab 1 - Creating Graphs from Data Open MINITAB file rateMP.mpj from the website. This data represents information from a sample of 700 instructors from the popular website ratemyprofessors.com. All instructors are sampled from the Foothill-De Anza Community College District. Here is a description of the data: College: Foothill or De Anza Smiley: Positive Neutral Negative Photo: Instructor has a photo Hot Instructor has a chili pepper Gender. Male or Female (Reported Gender) Dept: Academic Department (example - Mathematics) Division Academic Division (example - PSME) Num Number of Ratings for that faculty member Overall Average Overall Quality Rating (1-5 scale, lowest to highest) Easiness Average Easiness Rating (1-5 scale, hardest to easiest) We are going to use Minitab to make some dot plots for this data. Specifically we are going to look at Average Overall Quality Rating and try to make some comparisons of groups. First, let's ask some questions about this data. 1. Identify the quantitative variables. Num 2. Identify the categorical variables. Overall, Easiness, Smiley, Hot, Photo, Dept, Division Gender and college 3. An observational study is based on data that already exist. An experiment is data created by design by researchers who can control one more variables. Is this an observational study or an experiment? Explain. 4. In your opinion, what is the population (all the data from which this sample was taken)? 5. In your opinion, what is the sample? 6. Do you think this is a representative (not biased) sample of all instructors at Foothill-De Anza? Explain."/ Minitab - RateMP MPJ Now we are going to make some dot File Edit Data Calc Stet Graph Editor Tools One Y plots of the Average Overall Quality With Groups Rating which can be found under the Matrix Plot.. GRAPHS menu command in Mugigal Plot MINTAB Hutogum * TOOX . LE Dotplot Dotplot of overall overall 7. Make a dot plot of all instructors' Average Overall Quality Rating. (Simple Dot Plot). Paste the graph here and analyze the dot plot. (describe the data's shape, center, spread and unusual features) Dotplot of overall 8. Make a dot plot of all instructors' Average Overall Quality Rating by gender. (With Groups Dot Plot). Paste the graph here. Do you see any difference in overall quality between males and females?Dotplot of overall overall 9. Make a dot plot of all instructors' Average Overall Quality Rating by college. (With Groups Dot Plot). Paste the graph here. Do you see any difference in overall quality between Foothill and De Anza instructors? Dotplot of overall collect DeAm ...1 1 1. 1 1: 1.5 overall De Anza average score is more higher. 10. Make a dot plot of all instructors' Average Overall Quality Rating by hotness. (With Groups Dot Plot). Paste the graph here. Do you see any difference in overall quality between "Hot" and "Not Hot" instructors

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