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Apr 3, 2024

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ASSIGNMENT QUESTION 1 – Grouped Frequency Table, Histogram, and Polygon The following data consist of IQ scores for 50 participants 141 97 107 127 108 87 124 110 114 92 115 118 101 112 102 91 146 129 114 102 96 108 109 139 134 92 106 83 109 104 118 135 127 102 101 98 97 116 113 131 101 108 113 106 86 107 129 105 89 123 1) Construct a grouped frequency distribution table for this data (4 marks). X f cf C% 140-149 2 50 100 130-139 4 48 96 120-129 6 44 88 110-119 10 38 76 100-109 17 28 56 90-99 7 11 22 80-89 4 4 8 C% = cf N × 100 C% = 4 50 × 100 C% = 0.08 × 100 C% = 8 1
2) Construct a Frequency Histogram and a Frequency Polygon for the grouped frequency distribution with proper titles. Describe the shape of the curve (5 marks). Both the Histogram and Polygon shapes of the curve show that they are positively (right) skewed. 2
QUESTION 2 – Real Limits and Interpolation. 1) Using the real limits, what is the percentile rank for X = 99.5? for 109.5? (2 marks) For X = 99.5 C% = cf N × 100 C% = 11 50 × 100 C% = 22 For X = 109.5 C% = cf N × 100 C% = 28 50 × 100 C% = 56 2) Using the real limits, what score is associated with the 76 th percentile? The 88 th percentile? (2 marks) 76 th Percentile: 110-119 = 119.5 88 th Percentile: 120-129 = 129.5 3) Using interpolation, find the score associated with the 25 th percentile. (4 marks) Fraction = distance from the top interval/interval width (56-25) / (56 – 22) 31/34 = 0.9118 Distance = fraction*width 0.9118 x (109.5 – 99.5) 0.9118 x 10 9.118 X = top of interval – distance 109.5 – 9.118 3
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= 100.38 4) Using interpolation, find the percentile rank for X = 115. (4 marks) Fraction = distance from the top interval/interval width (119.5 – 115) / (119.5 – 109.5) 4.5/10 = 0.45 Distance = fraction*width 0.45 x (76-56) 0.45 x 20 = 9 Percentile = top % - distance 76-9 = 67 4
QUESTION 3 – Create a histogram using ggplot2 (5 marks). Go to LEARN and navigate to CONTENT R Activities. Complete Activity 3 - Graphing. In addition to the document, there are two videos (Activity 3A & 3B) to help you. 1. In R, create a vector called IQ and fill it with the data from the 50 participants in question 1 of this assignment. 2. Create a data frame called Participants and place the vector IQ into the data frame. 3. Use ggplot to create a histogram of the data. Use a bin width of 10, provide appropriate labels for the axes along with a title, and be sure to use red rectangles. Remove the grey background and gridlines. Copy your histogram here: 1. IQ <- c(141,97,107,127,108,87,124,110,114,92,115,118,101,112,102,91,146,129,1 14,102,96,108,109,139,134,92,106,83,109,104,118,135,127,102,101,98,97,1 16,113,131,101,108,113,106,86,107,129,105,89,123) 2. Participants <- data.frame(IQ) 3. ggplot(Participants, aes(x = IQ)) + geom_histogram(binwidth = 10, fill = "red", colour = "white") + labs(title = "IQ Scores Distribution", x = "IQ", y = "Frequency") + theme_bw() + theme(panel.grid = element_blank()) 5
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