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About 12 results
  • https://stats.libretexts.org/Courses/Saint_Mary's_College_Notre_Dame/BFE_1201_Statistical_Methods_for_Finance_(Kuter)/02%3A_Descriptive_Statistics/2.02%3A_Display_Data
    Since the data consist of the numbers 1, 2, 3, 4, 5, 6, and the starting point is 0.5, a width of one places the 1 in the middle of the interval from 0.5 to 1.5, the 2 in the middle of the interval fr...Since the data consist of the numbers 1, 2, 3, 4, 5, 6, and the starting point is 0.5, a width of one places the 1 in the middle of the interval from 0.5 to 1.5, the 2 in the middle of the interval from 1.5 to 2.5, the 3 in the middle of the interval from 2.5 to 3.5, the 4 in the middle of the interval from _______ to _______, the 5 in the middle of the interval from _______ to _______, and the _______ in the middle of the interval from _______ to _______ .
  • https://stats.libretexts.org/Courses/Cerritos_College/Introduction_to_Statistics_with_R/03%3A_Summarizing_Data_Visually/3.02%3A_Quantitative_Data
    hist(variable, col="type in what color you want", number of classes, main="type the title you want", xlab="type the label you want for the horizontal axis") – produces histogram with specified color a...hist(variable, col="type in what color you want", number of classes, main="type the title you want", xlab="type the label you want for the horizontal axis") – produces histogram with specified color and number of classes (though the number of classes is an estimate and R will create the number of classes near this value).
  • https://stats.libretexts.org/Courses/Fort_Hays_State_University/Elements_of_Statistics/02%3A_Descriptive_Statistics/2.03%3A_Histograms
    A histogram is a graphical representation without gaps between the bars to represent a continuous quantitative variable. When the bars have gaps, we have a bar graph representing either a qualitative ...A histogram is a graphical representation without gaps between the bars to represent a continuous quantitative variable. When the bars have gaps, we have a bar graph representing either a qualitative or discrete quantitative variable.
  • https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/02%3A_Descriptive_Statistics/2.01%3A_Display_Data
    This page discusses methods for organizing and analyzing data frequency, emphasizing the creation of frequency tables, stem-and-leaf plots, and various graphing techniques (including line graphs, bar ...This page discusses methods for organizing and analyzing data frequency, emphasizing the creation of frequency tables, stem-and-leaf plots, and various graphing techniques (including line graphs, bar graphs, histograms, and pie charts) to visualize statistical data. It outlines the calculation of relative and cumulative frequencies and stresses the importance of accurate data presentation, warning against misleading graphics.
  • https://stats.libretexts.org/Bookshelves/Applied_Statistics/Basic_Statistics_Using_R_for_Crime_Analysis_(Choi)/01%3A_Chapters/1.03%3A_Creating_a_New_Variable_and_Producing_Summary_Statistics
    This chapter focuses on creating new variables and producing summary statistics using the 2018 Part 1 crime data from Pennsylvania's Uniform Crime Report. It explains the distinction between Part 1 (s...This chapter focuses on creating new variables and producing summary statistics using the 2018 Part 1 crime data from Pennsylvania's Uniform Crime Report. It explains the distinction between Part 1 (serious) and Part 2 (less serious) crimes and the limitations of the UCR due to underreporting. The chapter guides how to manipulate data in R, including renaming variables, calculating crime rates, and categorizing cities by population.
  • https://stats.libretexts.org/Courses/Fullerton_College/Math_100%3A_Liberal_Arts_Math_(Ikeda)/08%3A_Describing_Data/8.02%3A_Presenting_Quantitative_Data_Graphically
    Quantitative data can be summarized by frequency tables, and are commonly displayed as a histogram, frequency polygon or stem plot.
  • https://stats.libretexts.org/Courses/Highline_College/Statistics_Using_Technology_(Kozak)/02%3A_Graphical_Descriptions_of_Data/2.02%3A_Quantitative_Data
    To create a cumulative frequency distribution, count the number of data points that are below the upper class boundary, starting with the first class and working up to the top class. Also, if you want...To create a cumulative frequency distribution, count the number of data points that are below the upper class boundary, starting with the first class and working up to the top class. Also, if you want to know the amount that 15 students pay less than, then you start at 15 on the vertical axis and then go over to the graph and down to the horizontal axis where the line intersects the graph.
  • https://stats.libretexts.org/Courses/Fresno_City_College/Introduction_to_Business_Statistics_-_OER_-_Spring_2023/02%3A_Descriptive_Statistics/2.02%3A_Display_Data
    Since the data consist of the numbers 1, 2, 3, 4, 5, 6, and the starting point is 0.5, a width of one places the 1 in the middle of the interval from 0.5 to 1.5, the 2 in the middle of the interval fr...Since the data consist of the numbers 1, 2, 3, 4, 5, 6, and the starting point is 0.5, a width of one places the 1 in the middle of the interval from 0.5 to 1.5, the 2 in the middle of the interval from 1.5 to 2.5, the 3 in the middle of the interval from 2.5 to 3.5, the 4 in the middle of the interval from _______ to _______, the 5 in the middle of the interval from _______ to _______, and the _______ in the middle of the interval from _______ to _______ .
  • https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Statistics_with_Technology_2e_(Kozak)/02%3A_Graphical_Descriptions_of_Data/2.02%3A_Quantitative_Data
    hist(variable, col="type in what color you want", number of classes, main="type the title you want", xlab="type the label you want for the horizontal axis") – produces histogram with specified color a...hist(variable, col="type in what color you want", number of classes, main="type the title you want", xlab="type the label you want for the horizontal axis") – produces histogram with specified color and number of classes (though the number of classes is an estimate and R will create the number of classes near this value).
  • https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Introductory_Statistics_(Lane)/08%3A_Advanced_Graphs/8.01%3A_Q-Q_Plots
    The quantile-quantile or q-q plot is an exploratory graphical device used to check the validity of a distributional assumption for a data set. In general, the basic idea is to compute the theoreticall...The quantile-quantile or q-q plot is an exploratory graphical device used to check the validity of a distributional assumption for a data set. In general, the basic idea is to compute the theoretically expected value for each data point based on the distribution in question. If the data indeed follow the assumed distribution, then the points on the q-q plot will fall approximately on a straight line.
  • https://stats.libretexts.org/Courses/Fresno_City_College/Book%3A_Business_Statistics_Customized_(OpenStax)/02%3A_Descriptive_Statistics/2.02%3A_Display_Data
    Since the data consist of the numbers 1, 2, 3, 4, 5, 6, and the starting point is 0.5, a width of one places the 1 in the middle of the interval from 0.5 to 1.5, the 2 in the middle of the interval fr...Since the data consist of the numbers 1, 2, 3, 4, 5, 6, and the starting point is 0.5, a width of one places the 1 in the middle of the interval from 0.5 to 1.5, the 2 in the middle of the interval from 1.5 to 2.5, the 3 in the middle of the interval from 2.5 to 3.5, the 4 in the middle of the interval from _______ to _______, the 5 in the middle of the interval from _______ to _______, and the _______ in the middle of the interval from _______ to _______ .

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