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Frequency distributions arrange the values into classes with corresponding frequencies, making the dataset easier to read and analyze.","Answer",{"name":65,"@type":60,"acceptedAnswer":66},"What are class limits and class boundaries in a grouped frequency distribution?",{"text":67,"@type":63},"Class limits (e.g., 24–30) mark the smallest and largest data values included in a class. Class boundaries separate classes without gaps by extending the limits by an additional amount (e.g., lower boundary = lower limit − 0.5).",{"name":69,"@type":60,"acceptedAnswer":70},"What is the main purpose of using statistical graphs like histograms and ogives?",{"text":71,"@type":63},"Graphs describe the dataset and support analysis. They can discuss issues, reinforce key points, summarize data, and reveal trends or patterns over time, with histograms and ogives being common options.","https://schema.org",{"og:url":32,"og:type":74,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":76,"canonical":32},"index,follow",{"doc_id":78,"site_id":7},657403,1792978584,{"code":4,"msg":81,"data":82},"success",[83,87,91,94,99,104,109,114,119,122,126],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":84,"show_sort_weight":85,"slug":86},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":88,"show_sort_weight":89,"slug":90},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":92,"slug":93},70,"exam",{"id":95,"doc_module":4,"doc_module_name":25,"category_name":96,"show_sort_weight":97,"slug":98},5,"Comic",60,"comic",{"id":100,"doc_module":4,"doc_module_name":25,"category_name":101,"show_sort_weight":102,"slug":103},6,"Technology",50,"technology",{"id":105,"doc_module":4,"doc_module_name":25,"category_name":106,"show_sort_weight":107,"slug":108},7,"Healthcare",40,"healthcare",{"id":110,"doc_module":4,"doc_module_name":25,"category_name":111,"show_sort_weight":112,"slug":113},8,"Research & Report",30,"research-report",{"id":115,"doc_module":4,"doc_module_name":25,"category_name":116,"show_sort_weight":117,"slug":118},9,"Religion & Spirituality",20,"religion-spirituality",{"id":117,"doc_module":4,"doc_module_name":25,"category_name":120,"show_sort_weight":117,"slug":121},"World Cup","world-cup",{"id":123,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":123,"slug":125},10,"Lifestyle","lifestyle",{"id":127,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":95,"slug":129},19,"General","general",{"code":4,"msg":81,"data":131},{"doc_id":78,"user_id":132,"nickname":42,"user_avatar":133,"doc_module":4,"category_id":33,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":33,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":127,"language":139,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":12,"update_tm":79,"read_time":143},2336478945519,"https://ap-avatar.wpscdn.com/davatar_085a072bc5b1113ac321206ff7593b45","Chapter Two Presentation of a Statistical Data  \n1. Introduction  \n2. Organizing Data  \n3. Histograms, Frequency Polygons, and Ogives  \n4. Other Types of Graphs  \nChapter Two  \nPresentation of a Statistical Data  \n1. Introduction  \n• Gathering data for a particular variable under study is the primary task for presenting the data.  \n• The data must be organized in some meaningful way. The most convenient method of organizing data is to construct a frequency distribution.  \n• Then data must be presented to be understood by those who will benefit from reading the study.  \n• The most useful method of presenting the data is by constructing statistical charts and graphs.  \n2. Organizing Data  \n• Information can be obtained from looking at raw data (Table 1), the data to be more understandable, they should be organized. One of the comment statistic methods are using so called frequency distribution (Table 2) .  \n• A frequency distribution is the organization of raw data in a table form,  \nusing classes and frequencies.  \nTable 1: Raw data  \nTable 2: Frequency distribution table.  \nClasses Frequencies  \n􀂉 Grouped Frequency Distributions or Frequency Distributions Table  \nWhen the range of the data is large or huge, the data must be grouped into classes with the frequency of each class as shown in Table 2 .  \n􀂾 Procedure for Constructing the Frequency Distribution Table  \nThere are some concepts need to be explained as shown in the following distribution frequency table (Table 3) .  \n• The values of the first class are called class limits such as (24-30). The lower class limit (24) represents the smallest data value that can be included in the class. The upper class limit (30) represents the largest data value that can be included in the class.  \n• The numbers in the second column are called class boundaries. These numbers are used to separate the classes so that there are no gaps in the frequency distribution.  \nTable 3: Frequency distribution table.  \nNote: The class limits should have the same decimal place value as the data, but the class boundaries should have one additional place value and end in a 5. For example: the boundaries limits for the classes (31–37) & (7 .8–8 .8), are:  \nLower limit-0.5 = 31-0.5 = 30.5 lower boundary  \nUpper limit + 0.5 = 37 + 0.5 = 37.5 upper boundary  \nLower limit-0.05 = 7.8-0.05 = 7.75 lower boundary Upper limit +0.05 = 8.8 + 0.05 = 8.85 upper boundary  \n• Class width (Cw) is the range between upper and lower limit of the same class.  \nCw = the lower (or upper) class limit of one class-the lower (or upper) class  \nlimit of the next class.  \nFor example: the class width of Table 3 is:  \n31-24 = 7 OR 37-30 = 7 OR 23.5-30.5 = 7 OR 37.5-30.5 = 7  \n• Number of classes are between 5 and 20 classes.  \n• The class midpoint Xm is  \n􀢄􀢓 = 􀢒􀢕􀢝􀢋􀢘~~ ~~􀢈􀢕􀢛􀢔􀢊􀢇􀢘􀢟􀢛􀢖􀢖􀢋􀢘~~ ~~􀢈􀢕􀢛􀢔􀢊􀢇􀢘􀢟  Example:  \n􀢒􀢕􀢝􀢋􀢘 􀢒􀢏􀢓􀢏􀢚+􀢛􀢖􀢖􀢋􀢘 􀢒􀢏􀢓􀢏􀢚 OR 􀢄􀢓 =  􀫛   \nExample 1: These data represent the record high temperatures in degrees Fahrenheit (F) for each of the 50 states. Construct a grouped Frequency distribution for the data using 7 classes.  \nSolution:  \n1. Find the highest value and lowest value: H = 134 and L = 100 .  \n2. Find the range: R = highest value-lowest value = H – L; R = 134 – 100 = 34  \n3. Select the number of classes (5-20); n = 7 .  \n4. Find the class width; 􀡯 􀢝 = 􀡾􀢔 = 􀫜􀫝􀫠 = 4.9 ≈ 5  OR 4.0  \n5. Select a starting point for the lowest class limit = lowest value or less (100 or 99).  \n6. Determine the lower limits of the other class = Lower limit + 􀡯􀢝 = 100 + 5 = 105, 110, 115, etc.  \n7. Determine the Upper limits of the first class =  \nlower limit (2nd class)– 1 (one unit) = 105-1=104  \n8. Determine the upper limits of the other class = lower limit + 􀡯􀢝 = 104 + 5 =  \n109, 114, 119, etc.  \n9. Find the class boundaries: by subtracting 0 .5 from each lower class limit and adding 0 .5 to each upper class limit: First class : 99 .5–104 .5, second class: 104 .5–109 .5, etc.  \n10. Tally the data.  \n11. Find the numerical frequencies from","cbCaijmsyUyBgUQT","https://ap.wps.com/l/cbCaijmsyUyBgUQT","pdf",1843301,"English","# 1. Introduction\n# 2. Organizing Data\n# 3. Histograms, Frequency Polygons, and Ogives\n## 1. Histogram","[{\"question\":\"Why is frequency distribution used when presenting raw statistical data?\",\"answer\":\"Raw data must be organized so it becomes easier to understand. Frequency distributions arrange the values into classes with corresponding frequencies, making the dataset easier to read and analyze.\"},{\"question\":\"What are class limits and class boundaries in a grouped frequency distribution?\",\"answer\":\"Class limits (e.g., 24–30) mark the smallest and largest data values included in a class. Class boundaries separate classes without gaps by extending the limits by an additional amount (e.g., lower boundary = lower limit − 0.5).\"},{\"question\":\"What is the main purpose of using statistical graphs like histograms and ogives?\",\"answer\":\"Graphs describe the dataset and support analysis. They can discuss issues, reinforce key points, summarize data, and reveal trends or patterns over time, with histograms and ogives being common options.\"}]","Chapter Two - Presentation of a Statistical Data - Organizing Data | PDF",48]