The Pareto chart has the bars sorted from largest to smallest and is easier to read and interpret. The data are the weights of backpacks with books in them. C. The data are The numbers of programs installed on various computers ANSWERA.) pair starts due east and then turns 50 toward north. However, generally, we use age as a discrete, NCERT Solutions for Class 12 Business Studies, NCERT Solutions for Class 11 Business Studies, NCERT Solutions for Class 10 Social Science, NCERT Solutions for Class 9 Social Science, NCERT Solutions for Class 8 Social Science, CBSE Previous Year Question Papers Class 12, CBSE Previous Year Question Papers Class 10. y's house is at D, 750 feet from the intersection. Items a, e, f, k, and l are quantitative discrete; items d, j, and n are quantitative continuous; items b, c, g, h, i, and m are qualitative. O C. For some students, it might feel difficult as it involves logical thinking and mathematics but its a great option for those who love solving and putting their minds all into logic. These data take on only certain numerical values. The data are continuous because the data can take on any value in an interval. Do you think that either of these samples is representative of (or is characteristic of) the entire 10,000 part-time student population? Quick Check Introduction to Data Science. For example, it does not make sense to find an average hair color or blood type. The data are discrete because the data can only take on specific values. While working on these data, it is important to know the types of data to process them and get the right results. OD. Determine whether the given value is from a discrete or continuous data set. If you sample without replacement, then the chance of picking the first person is ten out of 25, and then the chance of picking the second person (who is different) is nine out of 24 (you do not replace the first person). Quantitative data are always numbers. Great Learning's Blog covers the latest developments and innovations in technology that can be leveraged to build rewarding careers. It might sound a bit weird but do not burden yourself with new topics before the exam. The continuous data can be broken down into fractions and decimals, i.e. Have some sleep, its important. on any value in an interval . Question: CS State whether the data described below are discrete or continuous, and explain why. These kinds of data are also known as Numerical data. Non-response or refusal of subject to participate: The collected responses may no longer be representative of the population. Numeric variables represent characteristics that you can express as numbers rather than descriptive language. Tips and Tricks to study Discrete and Continuous Data, Age is discrete data because we could be infinitely precise and use an infinite number of decimal places, rendering age continuous as a result. Number the population 120,000 and then use a simple random sample to pick a number that represents the first name in the sample. Use the column numbers: one through six. Continuous data are in the form of fractional numbers. We have grown leaps and bounds to be the best Online Tuition Website in India with immensely talented Vedantu Master Teachers, from the most reputed institutions. The other examples of qualitative data are : Difference between Nominal and Ordinal Data, Difference between Discrete and Continuous Data, 22 Top Data Science Books Learn Data Science Like an Expert, PGP In Data Science and Business Analytics, PGP In Artificial Intelligence And Machine Learning, Nominal data cant be quantified, neither they have any intrinsic ordering, Ordinal data gives some kind of sequential order by their position on the scale, Nominal data is qualitative data or categorical data, Ordinal data is said to be in-between qualitative data and quantitative data, They dont provide any quantitative value, neither can we perform any arithmetical operation, They provide sequence and can assign numbers to ordinal data but cannot perform the arithmetical operation, Nominal data cannot be used to compare with one another, Ordinal data can help to compare one item with another by ranking or ordering, Discrete data are countable and finite; they are whole numbers or integers, Continuous data are measurable; they are in the form of fractions or decimal, Discrete data are represented mainly by bar graphs, Continuous data are represented in the form of a histogram, The values cannot be divided into subdivisions into smaller pieces, The values can be divided into subdivisions into smaller pieces, Discrete data have spaces between the values, Continuous data are in the form of a continuous sequence, Opinion on something (agree, disagree, or neutral), Colour of hair (Blonde, red, Brown, Black, etc. You can specify conditions of storing and accessing cookies in your browser. The data are discrete because the data can only take on specific values. . For example, call-in surveys are invariably biased, because people choose to respond or not. Determine whether the data described below are qualitative or quantitative and explain why: . A type of sampling that is non-random is convenience sampling. A sample of 100 undergraduate San Jose State students is taken by organizing the students names by classification (freshman, sophomore, junior, or senior), and then selecting 25 students from each. To do so, the ship must sail between two pairs of islands, avoiding sailing between a third p Divide into groups of two, three, or four. Samples that contain different individuals result in different data. B.The data are discrete because the data can only take on specific values. C. On Tax Day, House to Call for Firing Federal Workers Who Owe Back Taxes. B. It only contains finite values, the subdivision of which is not possible. the chance of picking the first person is 1,000 out of 10,000 (0.1000); the chance of picking a different second person for this sample is 999 out of 10,000 (0.0999); the chance of picking the same person again is 1 out of 10,000 (very low). The measure of Ris 5 greater than the measure of ZO. It is not possible to measure qualitative data in terms of numbers and it is subdivided into nominal and ordinal data. You'll find career guides, tech tutorials and industry news to keep yourself updated with the fast-changing world of tech and business. Press ENTER. There are two types of data: Qualitative and Quantitative data, which are further classified into: Now business runs on data, and most companies use data for their insights to create and launch campaigns, design strategies, launch products and services or try out different things. PGP in Data Science and Business Analytics, PGP in Data Science and Engineering (Data Science Specialization), M.Tech in Data Science and Machine Learning, PGP Artificial Intelligence for leaders, PGP in Artificial Intelligence and Machine Learning, MIT- Data Science and Machine Learning Program, Master of Business Administration- Shiva Nadar University, Executive Master of Business Administration PES University, Advanced Certification in Cloud Computing, Advanced Certificate Program in Full Stack Software Development, PGP in in Software Engineering for Data Science, Advanced Certification in Software Engineering, PG Diploma in Artificial Intelligence IIIT-Delhi, PGP in Software Development and Engineering, PGP in in Product Management and Analytics, NUS Business School : Digital Transformation, Design Thinking : From Insights to Viability, Master of Business Administration Degree Program, 4 Types Of Data Nominal, Ordinal, Discrete and Continuous. Be aware that as you take data, your data may vary somewhat from the data someone else is taking for the same purpose. The following pie charts have the Other/Unknown category included (since the percentages must add to 100%). Press 5:randInt( and enter 1, 60). Hint: Data that are discrete often start with the words "the number of." the number of pairs of shoes you own. Performance & security by Cloudflare. The data are discrete because the data can only take on specific values. You sample the same five students. The second sample is taken using a list of senior citizens who take P.E. Record the number. c . Press ENTER. Get Into Data Science From Non IT Background, Data Science Solving Real Business Problems, Understanding Distributions in Statistics, Major Misconceptions About a Career in Business Analytics, Business Analytics and Business Intelligence Possible Career Paths for Analytics Professionals, Difference Between Business Intelligence and Business Analytics. The number of classes a student missed. Most statisticians use various methods of random sampling in an attempt to achieve this goal. The first Question: State whether the data described below are discrete or continuous, and explain why. O A. A. In polling, samples that are from 1,200 to 1,500 observations are considered large enough and good enough if the survey is random and is well done. The result of the rolling is a dice is 1, 2, 3, 4, 5, 6, 7, and 8. However for practical reasons, in most populations, simple random sampling is done without replacement. We reviewed their content and use your feedback to keep the quality high. When a sampling bias happens, there can be incorrect conclusions drawn about the population that is being studied. This data helps a company analyze its business, design its strategies, and help build a successful data-driven decision-making process. 8. We also acknowledge previous National Science Foundation support under grant numbers 1246120, 1525057, and 1413739. A more technological way is for Lisa to first list the last names of the members of her class together with a two-digit number, as in Table \(\PageIndex{2}\): Lisa can use a table of random numbers (found in many statistics books and mathematical handbooks), a calculator, or a computer to generate random numbers. Data is the new oil. Today data is everywhere in every field. The circumferences (in inches) of people's heads Choose the correct answer below. It answers the questions like how much, how many, and how often. For example, the price of a phone, the computers ram, the height or weight of a person, etc., falls under quantitative data. B. B. Surely, you can get all the study material on Vedantu mobile app- learn live online. Those 100 students are the sample. Each student in the following samples is asked how much tuition he or she paid for the Fall semester. It can be the version of an android phone, the height of a person, the length of an object, etc. If you did the experiment a third time, do you expect the results to be identical to the first or second experiment? The prison populations of different countries ha Choose the correct answer below. It is countable. And this is the reason why most students find it to be an interesting subject. The amount a person grew (in height) in a year. So is the case of statistics too. On your calculator, press Math and arrow over to PRB. Solution: - Data : The capacities of different hotels. The weights (in tons) of the trees in a forestANSWERA.) 2. 1. The land areas of different countries Choose the correct answer below. No. B. B. You go to the supermarket and purchase three cans of soup (19 ounces) tomato bisque, 14.1 ounces lentil, and 19 ounces Italian wedding), two packages of nuts (walnuts and peanuts), four different kinds of vegetable (broccoli, cauliflower, spinach, and carrots), and two desserts (16 ounces Cherry Garcia ice cream and two pounds (32 ounces chocolate chip cookies). We might make different choices of what we think is the best graph depending on the data and the context. As you become accustomed to sampling, the variability will begin to seem natural. D. The It also could not be used if the percentages added to less than 100%. Biased samples that are not representative of the population give results that are inaccurate and not valid. O B. . state whether the data is continous or discrete The durations of a chemical reaction comma repeated several times Choose the correct answer below. Experts are tested by Chegg as specialists in their subject area. Step 2: Discrete and continuous data. A. Discrete data is a sort of numerical data that consists of full, concrete numbers that have particular and fixed data values that are determined by counting. These data can be represented on a wide variety of graphs and charts, such as bar graphs, histograms, scatter plots, boxplots, pie charts, line graphs, etc. Show More. Doreen's sample will be different from Jung's sample. Quantitative data, on the other hand, is one that contains numerical values and uses a scope. Keep counting ten quiz scores and recording the quiz score until you have a sample of 12 quiz scores. The gender of a person, i.e., male, female, or others, is qualitative data. The discrete data are countable and have finite values; their subdivision is not possible. Position 1 is less than the distance from G to H in Position 2. Whenever you face any problem the best solution is consulting the concerned teacher, you should never hesitate to ask for doubts. A stated earlier, Lengths are in general, continuous variables. A high school educational researcher interviews 50 high school female teachers and 50 high school male teachers. a. stratified; b. cluster; c. stratified; d. systematic; e. simple random; f.convenience. For accuracy, carry the decimal answers to four decimal places. The data are discrete because the data can only take on specific values. The graph in Figure \(\PageIndex{5}\) is a Pareto chart. B. Examples of discrete variables are the number of students and age. The data are discrete because the data can only take on specific values. In each form of random sampling, each member of a population initially has an equal chance of being selected for the sample. State whether the data described below are discrete or continuous, and explain why. Surveys mailed to households and then returned may be very biased (they may favor a certain group). State whether the data described below are discrete or continuous, and explain why. Systematic sampling is frequently chosen because it is a simple method. Instead of that, just revise what youve already done. In one study, eight 16 ounce cans were measured and produced the following amount (in ounces) of beverage: 15.8; 16.1; 15.2; 14.8; 15.8; 15.9; 16.0; 15.5. A statistics professor collects information about the classification of her students as freshmen, sophomores, juniors, or seniors. A continuous data set because there are infinitely many possible values and those values cannot be counted. Samples of only a few hundred observations, or even smaller, are sufficient for many purposes. A student interviews classmates in his algebra class to determine how many pairs of jeans a student owns, on the average. As a rule, the larger the sample, the smaller the sampling error. Sample size issues: Samples that are too small may be unreliable. B. state whether the data is continous or discrete The durations of It is a good idea to look at a variety of graphs to see which is the most helpful in displaying the data. State whether the data described below are discrete or continuous and explain why The amounts of time that different brands' batteries last in a CD player. For example, 16-ounce cans of beverage may contain more or less than 16 ounces of liquid. Create a cluster sample by picking two of the columns. a chemical reaction comma repeated several times Choose the correct Difference Between Continuous and Discrete Data, Questions on Discrete Data Continuous Data. A histogram is used to display quantitative data: the numbers of credit hours completed. Think about what contributes to making Doreens and Jungs samples different. Statistics and Probability questions and answers, CS State whether the data described below are discrete or continuous, and explain why. Instructions: Use the Random Number Generator to pick samples. To four decimal places, these numbers are equivalent (0.0999). - Example, Formula, Solved Examples, and FAQs, Line Graphs - Definition, Solved Examples and Practice Problems, Cauchys Mean Value Theorem: Introduction, History and Solved Examples. A histogram is used to graphically represent continuous data. the type of car you drive. We need to evaluate the statistical studies we read about critically and analyze them before accepting the results of the studies. You'll get a detailed solution from a subject matter expert that helps you learn core concepts. Show how you know. { "1.2.01:_Levels_of_Measurement" : "property get [Map MindTouch.Deki.Logic.ExtensionProcessorQueryProvider+<>c__DisplayClass228_0.b__1]()" }, { "00:_Front_Matter" : "property get [Map MindTouch.Deki.Logic.ExtensionProcessorQueryProvider+<>c__DisplayClass228_0.b__1]()", "1.00:_Introduction" : "property get [Map MindTouch.Deki.Logic.ExtensionProcessorQueryProvider+<>c__DisplayClass228_0.b__1]()", "1.01:_Descriptive_and_Inferential_Statistics" : "property get [Map MindTouch.Deki.Logic.ExtensionProcessorQueryProvider+<>c__DisplayClass228_0.b__1]()", "1.02:_Variables_and_Types_of_Data" : "property get [Map MindTouch.Deki.Logic.ExtensionProcessorQueryProvider+<>c__DisplayClass228_0.b__1]()", "1.03:_Data_Collection_and_Sampling_Techniques" : "property get [Map MindTouch.Deki.Logic.ExtensionProcessorQueryProvider+<>c__DisplayClass228_0.b__1]()", "1.05:_Computers_and_Calculators" : "property get [Map MindTouch.Deki.Logic.ExtensionProcessorQueryProvider+<>c__DisplayClass228_0.b__1]()", "1.5:_Experimental_Design_and_Ethics" : "property get [Map MindTouch.Deki.Logic.ExtensionProcessorQueryProvider+<>c__DisplayClass228_0.b__1]()", "1.E:_Sampling_and_Data_(Optional_Exercises)" : "property get [Map MindTouch.Deki.Logic.ExtensionProcessorQueryProvider+<>c__DisplayClass228_0.b__1]()", "zz:_Back_Matter" : "property get [Map MindTouch.Deki.Logic.ExtensionProcessorQueryProvider+<>c__DisplayClass228_0.b__1]()" }, { "00:_Front_Matter" : "property get [Map MindTouch.Deki.Logic.ExtensionProcessorQueryProvider+<>c__DisplayClass228_0.b__1]()", "01:_The_Nature_of_Statistics" : "property get [Map MindTouch.Deki.Logic.ExtensionProcessorQueryProvider+<>c__DisplayClass228_0.b__1]()", "02:_Frequency_Distributions_and_Graphs" : "property get [Map MindTouch.Deki.Logic.ExtensionProcessorQueryProvider+<>c__DisplayClass228_0.b__1]()", "03:_Data_Description" : "property get [Map MindTouch.Deki.Logic.ExtensionProcessorQueryProvider+<>c__DisplayClass228_0.b__1]()", "04:_Probability_and_Counting" : "property get [Map MindTouch.Deki.Logic.ExtensionProcessorQueryProvider+<>c__DisplayClass228_0.b__1]()", "05:_Discrete_Probability_Distributions" : "property get [Map MindTouch.Deki.Logic.ExtensionProcessorQueryProvider+<>c__DisplayClass228_0.b__1]()", "06:_Continuous_Random_Variables_and_the_Normal_Distribution" : "property get [Map MindTouch.Deki.Logic.ExtensionProcessorQueryProvider+<>c__DisplayClass228_0.b__1]()", "07:_Confidence_Intervals_and_Sample_Size" : "property get [Map MindTouch.Deki.Logic.ExtensionProcessorQueryProvider+<>c__DisplayClass228_0.b__1]()", "08:_Hypothesis_Testing_with_One_Sample" : "property get [Map MindTouch.Deki.Logic.ExtensionProcessorQueryProvider+<>c__DisplayClass228_0.b__1]()", "09:_Inferences_with_Two_Samples" : "property get [Map MindTouch.Deki.Logic.ExtensionProcessorQueryProvider+<>c__DisplayClass228_0.b__1]()", "10:_Correlation_and_Regression" : "property get [Map MindTouch.Deki.Logic.ExtensionProcessorQueryProvider+<>c__DisplayClass228_0.b__1]()", "11:_Chi-Square_and_Analysis_of_Variance_(ANOVA)" : "property get [Map MindTouch.Deki.Logic.ExtensionProcessorQueryProvider+<>c__DisplayClass228_0.b__1]()", "12:_Nonparametric_Statistics" : "property get [Map MindTouch.Deki.Logic.ExtensionProcessorQueryProvider+<>c__DisplayClass228_0.b__1]()", "13:_Appendices" : "property get [Map MindTouch.Deki.Logic.ExtensionProcessorQueryProvider+<>c__DisplayClass228_0.b__1]()", "zz:_Back_Matter" : "property get [Map MindTouch.Deki.Logic.ExtensionProcessorQueryProvider+<>c__DisplayClass228_0.b__1]()" }, [ "article:topic", "Pareto chart", "Sampling with Replacement", "Sampling without Replacement", "qualitative data", "quantitative data", "discrete data", "continuous data", "Cluster Sampling", "Sampling Error", "Sampling Bias", "authorname:openstax", "transcluded:yes", "showtoc:no", "license:ccby", "source[1]-stats-705", "program:openstax", "licenseversion:40", "source@https://openstax.org/details/books/introductory-statistics" ], https://stats.libretexts.org/@app/auth/3/login?returnto=https%3A%2F%2Fstats.libretexts.org%2FCourses%2FLas_Positas_College%2FMath_40%253A_Statistics_and_Probability%2F01%253A_The_Nature_of_Statistics%2F1.02%253A_Variables_and_Types_of_Data, \( \newcommand{\vecs}[1]{\overset { \scriptstyle \rightharpoonup} {\mathbf{#1}}}\) \( \newcommand{\vecd}[1]{\overset{-\!-\!\rightharpoonup}{\vphantom{a}\smash{#1}}} \)\(\newcommand{\id}{\mathrm{id}}\) \( \newcommand{\Span}{\mathrm{span}}\) \( \newcommand{\kernel}{\mathrm{null}\,}\) \( \newcommand{\range}{\mathrm{range}\,}\) \( \newcommand{\RealPart}{\mathrm{Re}}\) \( \newcommand{\ImaginaryPart}{\mathrm{Im}}\) \( \newcommand{\Argument}{\mathrm{Arg}}\) \( \newcommand{\norm}[1]{\| #1 \|}\) \( \newcommand{\inner}[2]{\langle #1, #2 \rangle}\) \( \newcommand{\Span}{\mathrm{span}}\) \(\newcommand{\id}{\mathrm{id}}\) \( \newcommand{\Span}{\mathrm{span}}\) \( \newcommand{\kernel}{\mathrm{null}\,}\) \( \newcommand{\range}{\mathrm{range}\,}\) \( \newcommand{\RealPart}{\mathrm{Re}}\) \( \newcommand{\ImaginaryPart}{\mathrm{Im}}\) \( \newcommand{\Argument}{\mathrm{Arg}}\) \( \newcommand{\norm}[1]{\| #1 \|}\) \( \newcommand{\inner}[2]{\langle #1, #2 \rangle}\) \( \newcommand{\Span}{\mathrm{span}}\)\(\newcommand{\AA}{\unicode[.8,0]{x212B}}\), of Students at De Anza College Fall Term 2007 (Census Day), 1.1: Descriptive and Inferential Statistics, Percentages That Add to More (or Less) Than 100%, http://www.well-beingindex.com/default.asp, http://www.well-beingindex.com/methodology.asp, http://www.gallup.com/poll/146822/gaquestions.aspx, http://www.math.uah.edu/stat/data/LiteraryDigest.html, http://www.gallup.com/poll/110548/ga9362004.aspx#4, http://de.lbcc.edu/reports/2010-11/fhts.html#focus, http://poq.oxfordjournals.org/content/70/5/759.full, source@https://openstax.org/details/books/introductory-statistics, status page at https://status.libretexts.org, Students who intend to transfer to a 4-year educational institution.