The following scores represent the final examination grades for an elementary statistics course: 51 72 78...
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The following scores represent the final examination grades for an elementary statistics course: 51 72 78 82 88 88 91 93] 62 73 80 83 88 89 92 94 75 81 85 88 90 92 94 65 76 81 86 88 91 93 94 66 69 76 81 87 88 91 93 94 1. Input this data as a vector into R and store this information. 2. Make a histogram of your data. Suggestion (not required) - Break up the bins into the intervals [50,55),[55,60), [60,65), etc. Insert a title that says "Histogram: Final Exam Grades". 3. Draw a boxplot (with blue color) of your dataset where your boxplot is horizontal. Insert a title that says "Boxplot". 4. Describe how your histogram looks. Check the symmetry and whether it is unimodal, bimodal, multimodal, etc. 5. Count the number of points of the dataset. Use R function to answer this question. 6. Find the minimum, Q1, Median, Mean, Q3, and Maximum values for this dataset. Do NOT use the TI-calculator method; use R to find these values. 7. Find the variance and standard deviation of the dataset. 8. Are there any outliers in your dataset? Which plot did you use to tell you this infor- mation? 9. What are the values of the upper whisker and lower whisker in your dataset? (You don't need R code for this question) The following scores represent the final examination grades for an elementary statistics course: 51 72 78 82 88 88 91 93] 62 73 80 83 88 89 92 94 75 81 85 88 90 92 94 65 76 81 86 88 91 93 94 66 69 76 81 87 88 91 93 94 1. Input this data as a vector into R and store this information. 2. Make a histogram of your data. Suggestion (not required) - Break up the bins into the intervals [50,55),[55,60), [60,65), etc. Insert a title that says "Histogram: Final Exam Grades". 3. Draw a boxplot (with blue color) of your dataset where your boxplot is horizontal. Insert a title that says "Boxplot". 4. Describe how your histogram looks. Check the symmetry and whether it is unimodal, bimodal, multimodal, etc. 5. Count the number of points of the dataset. Use R function to answer this question. 6. Find the minimum, Q1, Median, Mean, Q3, and Maximum values for this dataset. Do NOT use the TI-calculator method; use R to find these values. 7. Find the variance and standard deviation of the dataset. 8. Are there any outliers in your dataset? Which plot did you use to tell you this infor- mation? 9. What are the values of the upper whisker and lower whisker in your dataset? (You don't need R code for this question)
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Related Book For
Essentials of Probability and Statistics for Engineers and Scientists
ISBN: 978-0321783738
1st edition
Authors: Ronald E. Walpole, Raymond Myers, Sharon L. Myers, Keying E. Ye
Posted Date:
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