state whether the data is discrete or continuous

All data that are the result of measuring are quantitative continuous data assuming that we can measure accurately. Besides simple random sampling, there are other forms of sampling that involve a chance process for getting the sample. 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. Continuous information is information that falls into a continuous series. There are no strict rules concerning which graphs to use. The first sample probably consists of science-oriented students. a. This is completely natural. a. For example, suppose you have to do a phone survey. The tables display counts (frequencies) and percentages or proportions (relative frequencies). The Data and Story Library, lib.stat.cmu.edu/DASL/Datafiles/USCrime.html (accessed May 1, 2013). Quantitative data, on the other hand, is one that contains numerical values and uses a scope. 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. O C. The data are continuous because the data can take on any value in an interval. The data are discrete because the data can only take on specific values. These data are used for observation like customer satisfaction, happiness, etc., but we cant do any arithmetical tasks on them. For example, it does not make sense to find an average hair color or blood type. The LibreTexts libraries arePowered by NICE CXone Expertand are supported by the Department of Education Open Textbook Pilot Project, the UC Davis Office of the Provost, the UC Davis Library, the California State University Affordable Learning Solutions Program, and Merlot. Most samples are taken from large populations and the sample tends to be small in comparison to the population. Suppose we take two different samples. The prison populations of different countries ha Choose the correct answer below. Different types of data are used in research, analysis, statistical analysis, data visualization, and data science. Otherwise, the variable is nominal. b. Data are individual items of information that come from a population or sample. Confounding makes it difficult or impossible to draw valid conclusions about the effect of each factor. Vedantu LIVE Online Master Classes is an incredibly personalized tutoring platform for you, while you are staying at your home. The three cans of soup, two packages of nuts, four kinds of vegetables and two desserts are quantitative discrete data because you count them. Your instructor will give each group one six-sided die. Data that can only take on certain values are discrete data. Your email address will not be published. The time(in minutes) it takes The time(in minutes) it takes A: It is given that the time (in minutes) it takes different students to drive to school from home. We all know that time is very important, it doesnt wait for anyone. 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. The data are discrete because the data can take on any value in an interval. Complex numbers and fluctuating data values that be measured over a defined time frame are referred to as continuous data. Your IP: The data are continuous because the data can take on any value in an interval. Save my name, email, and website in this browser for the next time I comment. B. The weights (in pounds) of their backpacks are 6.2, 7, 6.8, 9.1, 4.3. Determine whether the data described below are qualitative or quantitative and explain why: . b. The two-digit number 14 corresponds to Macierz, 05 corresponds to Cuningham, and 04 corresponds to Cuarismo. The distance from G to H in The height of a student from age 5-15 is continuous data because the height varies continuously from age 5-15 which is not a constant for 10 years. To choose a simple random sample of size three from the other members of her class, Lisa could put all 31 names in a hat, shake the hat, close her eyes, and pick out three names. The data are continuous because Continuous data represents information that can be divided into smaller levels. Each student is chosen using simple random sampling. You can go for many of the career options if you pursue stats, you can get detailed information about all of the above-mentioned choices and also many more careers on the online website of Vedantu which tells the full forms and also the detailed explanation of each one of them. Two graphs that are used to display qualitative data are pie charts and bar graphs. Factors not related to the sampling process cause nonsampling errors. You can get study material, solved and unsolved questions, and also quizzes which will help you test your knowledge. B.The data are discrete because the data can only take on specific values. . For the purpose of analysis, data are presented as the facts and figures collected together. Q: State whether the data below are discrete or continuous, explain why. four children shared a two third liter bottle of drink equal.how much did each child drink , two pairs of hikers leave the same camp heading in opposite divections. This data helps a company analyze its business, design its strategies, and help build a successful data-driven decision-making process. Discrete data. 25. However, generally, we use age as a discrete variable. The quiz scores (20 of them) in these 2 columns are the cluster sample. It would be great if you already have a bit of knowledge about a course before opting for it. C. 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. discrete because the data can only take on specific values . 8. A bar graph is appropriate to compare the relative size of the categories. The percent columns make comparing the same categories in the colleges easier. The data are continuous because the data can take You have to be dedicated. You can also visit their website. Explain your reasoning. Working with data requires good data science skills and a deep understanding of different types of data and how to work with them. While working on these data, it is important to know the types of data to process them and get the right results. 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"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, 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These values do not have to be complete numbers, but they are values that are fixed. B. The results of convenience sampling may be very good in some cases and highly biased (favor certain outcomes) in others. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. Note: randInt(0, 30, 3) will generate 3 random numbers. Step 2: Discrete and continuous data. The data are discrete because the data can only take on specific values. A study is done to determine the average tuition that San Jose State undergraduate students pay per semester. The class boundaries are 10 to less than 13, 13 to less than 16, 16 to less than 19, 19 to less than 22, and 22 to less than 25. Accessibility StatementFor more information contact us atinfo@libretexts.orgor check out our status page at https://status.libretexts.org. The option "B" is correct i.e. For example, the number of subjects in a course, the number of families living in a block, the number of digits in a code, etc. The discrete data contain the values that fall under integers or whole numbers. Asking all 10,000 students is an almost impossible task. The data will be quantitative, say 2+3 (=5) apples. The colors of the houses are white, yellow, white, red, and white. QUESTIONState whether the data described below are discrete or continuous, and explain why. Making a schedule/timetable or studying together with your peers may help you in focusing and keep you active. You should know how to manage your time and utilize it in the best way possible. 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. That is, a member of the population may be chosen only once. Performance & security by Cloudflare. Which two towers are closest together. Ordinal data have natural ordering where a number is present in some kind of order by their position on the scale. In this article, we have discussed the data types and their differences. The numbers generated are as follows: 0.94360; 0.99832; 0.14669; 0.51470; 0.40581; 0.73381; 0.04399. The data are discrete because the data can only take on specific values. Examples are lengths, temperature, etc. Continuous data is the data that can be of any value. D. The Numeric variables represent characteristics that you can express as numbers rather than descriptive language. Self-selected samples: Responses only by people who choose to respond, such as call-in surveys, are often unreliable. If you did the experiment a third time, do you expect the results to be identical to the first or second experiment? Learn data analytics or software development & get guaranteed* placement opportunities. Convenience sampling is a nonrandom method of choosing a sample that often produces biased data. A local radio station has a fan base of 20,000 listeners. Data that can take a decimal value and can vary across a range is called . Do you think that this sample is representative of (or is characteristic of) the entire 20,000 listener population? Both samples are biased. True random sampling is done with replacement. categorical, quantitative discrete or quantitative continuous. A. You must choose 400 names for the sample. If Doreen and Jung took larger samples (i.e. To four decimal places, 9/25 = 0.3600 and 9/24 = 0.3750. Then survey every U.S. congressman in the cluster. These kinds of data can be considered in-between qualitative and quantitative data. One-third of a number when decreased by 2 equals one-fifth of the nimenbe Find the number. Doreen's sample will be different from Jung's sample. Press ENTER and record that number. Quantitative data are always numbers. Statistics is a quite tough subject but for those who know how to use their mind, its the best one for them as it involves more practical knowledge and conceptual learning. It can be the version of an android phone, the height of a person, the length of an object, etc. The points are associated with an unbroken line. If the survey is done well, the answer is yes. data are discrete because the data can take on any value in an Every value within a range is included in continuous data. The number of books in a rack is a finite countable number. Rational Numbers Between Two Rational Numbers, XXXVII Roman Numeral - Conversion, Rules, Uses, and FAQs, Find Best Teacher for Online Tuition on Vedantu. Statistics and Probability questions and answers, state whether the data is continous or discrete The durations of The durations of a chemical reaction comma repeated . These values do not have to be complete numbers, but they are values that are fixed. There are a number of options if you go for the statistics degree. Two positions of an open gate are shown. Press ENTER. State whether the data described below are discrete or continuous, and explain why. Cloudflare Ray ID: 7a2992ec2e151da5 The actual process of sampling causes sampling errors. The data are discrete because the data can only take on specific values. 1. To determine the average cost of a two-day stay in a hospital in Massachusetts, survey 100 hospitals across the state using simple random sampling. If you feel tired at the moment, even that too is fine. The data are discrete because the data can only take on specific . ), Ranking of people in a competition (First, Second, Third, etc. It is better for the person conducting the survey to select the sample respondents. The numbers of hotels in cities Choose the correct answer below. These types of data are sorted by category, not by number. Try to identify additional data sets in this example. 2003-2023 Chegg Inc. All rights reserved. For example, suppose Lisa wants to form a four-person study group (herself and three other people) from her pre-calculus class, which has 31 members not including Lisa. To choose a simple random sample from each department, number each member of the first department, number each member of the second department, and do the same for the remaining departments. according to measurement accuracy, it can be significantly subdivided into smaller sections. 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.

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state whether the data is discrete or continuous