Week one Assignment Descriptive Statistics
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Week One AssignmentDescriptive StatisticsALY 6015 21284 Intermediate AnalyticsDate: 2019/01/13Q1: Set the working directly to the location of the file, and import the dataset using R code. Using descriptive statistics, visualize this data numerically and graphically.[pic 1]Summary statistics (mean, median, standard deviation, min, max, Q1, and Q3) for variable “Sepal.Width”[pic 2]Create a histogram for “Sepal.Width”[pic 3][pic 4]Q2: Using height_weight_bygender.csv data file, plot a histogram of men’s and women’s height.[pic 5]The histogram of mens height[pic 6][pic 7]The histogram of womens height[pic 8][pic 9]Q3: Using the height_weight_byGender.csv file, plot a scatterplot of height by weight for either men or women using the plot function.[pic 10]The scatterplot of height by weight for men[pic 11]The scatterplot of height by weight for women[pic 12]Q4: What is an example of a statistical inference question we may ask next?I want to ask what is the significant correlation between height and weight for either men or women, and can we describe them by R function?[pic 13]R output[pic 14]From the results, we can see that there is indeed a correlation between height and weight and the correlation coefficient is higher for men than for women.R Code:#1setwd(/Users/jonas/Desktop/Informatics/Intermediate Analytics/Week 1)task_data task_dataSepal.Width mean(Sepal.Width)median(Sepal.Width)sd(Sepal.Width)min(Sepal.Width)max(Sepal.Width)quantile(Sepal.Width, probs = c(0.25,0.75))hist(Sepal.Width, main = “The Histogram of Sepal.Width”)#2setwd(/Users/jonas/Desktop/Informatics/Intermediate Analytics/Week 1)height_weight head(height_weight)male head(male)hist(male$Height..inches.,main = “The Histogram of Mens Height”)
Essay About Women’S Height And Histogram Of Men
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