Boxplots - Guides d'étude, Notes de cours & Résumés

WGU C955 Latest Update – Complete and Accurate (Wrap before OA) Just categorical pie chart ( part of a whole ) or bar chart just quantitative histogram ( for intervals) stem plot ( for exact values ) or boxplot or dot plot ( less common) categorical > categorical contingency - (two way) table to create conditional percentages Quantitative > Quantitative scatterplot and use correlation coefficient categorical > quantitive side by side boxplots and use five number summary histogra...

Business Analytics Chapter 3 All Answers Correct graph for a quantitative variable ️histogram since there are no categories in a histogram, we usually slice up all of the possible values into_____ and then count the number of cases that fall in each of these ️bins like histograms, but they also give individual values ️stem-and leaf displays what are the 2 steps in making a stem-and-leaf display? ️1. use the first digit of a number (called the stem) to name the bins. The stem ...

Question 1 of 20 1.0/ 1.0 Points Which of the following statements are false regarding a boxplot? A. The height of the box has no significance. B. Boxplots can be used to either describe a single variable in a data set or to compare two (or more) variables C. The length of the box equals the range of the data. D. The right and left of the box are the third and first quartiles Answer Key: C Question 2 of 20 1.0/ 1.0 Points A histogram that has a single peak and looks approximatel...

Stat 311 Homework 3 – this homework uses the student performance data that was used in HW2 1 1. Some basic univariate visualization of the reading and math scores. In the HW3 template, we provide ggplot code to make histograms and boxplots of the Reading and Math variables (the Writing variable was explored in HW2). We use ggarrange from the ggpubr package (install the package first if you did not install it when playing with the demo code in Quantitative.Rmd) to put all four graphs in a...

Question 1 of 20 1.0/ 1.0 Points Which of the following statements are false regarding a boxplot? A. The height of the box has no significance. B. Boxplots can be used to either describe a single variable in a data set or to compare two (or more) variables C. The length of the box equals the range of the data. D. The right and left of the box are the third and first quartiles Answer Key: C Question 2 of 20 1.0/ 1.0 Points A histogram that has a single peak and looks approximatel...

C955 wrap before oa question with complete solution 2023 already passedJust categorical - correct answer pie chart ( part of a whole ) or bar chart just quantitative - correct answer histogram ( for intervals) stem plot ( for exact values ) or boxplot or dot plot ( less common) categorical > categorical - correct answer contingency - (two way) table to create conditional percentages Quantitative > Quantitative - correct answer scatterplot and use correlation coefficient categor...

Lurking Variable - Associated with the explanatory and the response variables that is not directly being studied. Simpson's Paradox - Occurs when a trend or result that appears in groups of data disappears when we combine the data. Regression Analysis - A process for estimating and analyzing the relationship between variables. Least-Squares Regression Line - AKA the line of best fit. y = mx + b "rise over run" Interpolation - Using existing data along with the Least-Squares Re...

quantitative data - Answer Quantitative data consists of data values that are numbers, representing quantities that can be counted or measured. The Empirical Rule - Answer According to The Empirical Rule, approximately 68% of the data points in a dataset will be within 1 standard deviation of the mean. 95% of all values are within 2 standard deviations of the mean. Normal distribution - Answer In a normal distribution data is symmetrical, so the mean, median, and mode are all equal. mea...

In which of these cases should the median be used? When the data has small variance When data has no outliers When the data has extreme values When the data has nominal values RATIONALE Since the mean uses the actual values in the data, it is most affected by outliers and skewness. So, we only want to use the mean when the data is symmetric as a measure of centrality. When the data is skewed or has extreme values, the median is a better measure since it is not as sensitive to the...

In which of these cases should the median be used? When the data has small variance When data has no outliers When the data has extreme values When the data has nominal values RATIONALE Since the mean uses the actual values in the data, it is most affected by outliers and skewness. So, we only want to use the mean when the data is symmetric as a measure of centrality. When the data is skewed or has extreme values, the median is a better measure since it is not as sensitive to the...