Publié le

state whether the data is discrete or continuous

Roll one fair die (six-sided) 20 times. Discrete vs continuous data are two broad categories of numeric variables. So, you will get the result too! Notice that the frequencies do not add up to the total number of students. Sampling without replacement instead of sampling with replacement becomes a mathematical issue only when the population is small. You are going to use the random number generator to generate different types of samples from the data. Complex numbers and fluctuating data values that be measured over a defined time frame are referred to as continuous data. Data is the new oil. Today data is everywhere in every field. Nominal Data is used to label variables without any order or quantitative value. It is easy in many cases, discrete data is preceded by the number of, which makes the differentiation of results easier. How to differentiate the obtained results as discrete and continuous data? Do not automatically assume that the study is good, but do not automatically assume the study is bad either. These values do not have to be complete numbers, but they are values that are fixed. B. To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. Record the three quiz scores in column one that correspond to these three numbers. No. 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. Ans: Ducks in a pond are discrete data because the number of ducks is a finite number. The two numbers are for two of the columns. and it is subdivided into nominal and ordinal data. 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. a. stratified; b. cluster; c. stratified; d. systematic; e. simple random; f.convenience. The easiest method to describe is called a simple random sample. What type of data is this? For example, you could stratify (group) your college population by department and then choose a proportionate simple random sample from each stratum (each department) to get a stratified random sample. A histogram is used to display quantitative data: the numbers of credit hours completed. You can also visit their website. 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. Doreen and Jung each take samples of 500 students. { "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. Three cell phone towers form APQR. Students often ask if it is "good enough" to take a sample, instead of surveying the entire population. Height is continuous but we sometimes don't really worry too much about minor variations and club heights into a set of discrete data instead. ), Education Level (Higher, Secondary, Primary), Total numbers of students present in a class, The total number of players who participated in a competition. The data are the colors of houses. State whether the data described below are discrete or continuous, and explain why. Use the column numbers: one through six. The safest route is to avoid the closest pair of islands. The following pie charts have the Other/Unknown category included (since the percentages must add to 100%). It would be great if you already have a bit of knowledge about a course before opting for it. Each method has pros and cons. Continuous data is the data that can be of any value. 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. In some situations, having small samples is unavoidable and can still be used to draw conclusions. A medical researcher interviews every third cancer patient from a list of cancer patients at a local hospital. It can be the version of an android phone, the height of a person, the length of an object, etc. Continuous data are in the form of fractional numbers. For the purpose of analysis, data are presented as the facts and figures collected together. It also could not be used if the percentages added to less than 100%. Determine whether the value is from a discrete or continuous It is from a discrete data set because the number of possible values is infinite and countable. State whether the data described below are discrete or continuous and explain why The amounts of time that different - Answered by a verified Tutor . The durations of a chemical reaction comma repeated . If these data-driven topics got you interested in pursuing professional courses or a career in the field of Data Science. The data are discrete because the data can only take on specific values. Indicate whether quantitative data are continuous or discrete. Two graphs that are used to display qualitative data are pie charts and bar graphs. Cloudflare Ray ID: 7a2992ec2e151da5 State whether the data described below are discrete or continuous, and explain why. For this example, suppose Lisa chooses to generate random numbers from a calculator. One gym has 12 machines, one gym has 15 machines, one gym has ten machines, one gym has 22 machines, and the other gym has 20 machines. OB. On Tax Day, House to Call for Firing Federal Workers Who Owe Back Taxes. Collaborative Exercise 1.2. Opinion poll posted online at: www.youpolls.com/details.aspx?id=12328 (accessed May 1, 2013). State whether each situation is categorical or quantitative. Convenience sampling involves using results that are readily available. A pie chart cannot be used. Weights are quantitative continuous data because weights are measured. The Other/Unknown category is large compared to some of the other categories (Native American, 0.6%, Pacific Islander 1.0%). First, we use convenience sampling and survey ten students from a first term organic chemistry class. a. This site is using cookies under cookie policy . Think about what contributes to making Doreens and Jungs samples different. It only contains finite values, the subdivision of which is not possible. The discrete data are countable and have finite values; their subdivision is not possible. Quantitative data may be either discrete or continuous. 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). Data from www.bookofodds.com/Relationsh-the-President. Ivy's house is at E, 750 feet from the intersection. The numbers of hotels in cities Choose the correct answer below. Conduct the survey by sitting in Central Park on a bench and interviewing every person who sits next to you. C. The data are 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. 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. A high school educational researcher interviews 50 high school female teachers and 50 high school male teachers. A. The table displays Ethnicity of Students but is missing the "Other/Unknown" category. 8. An administrative assistant is asked to stand in front of the library one Wednesday and to ask the first 100 undergraduate students he encounters what they paid for tuition the Fall semester. You sample five gyms. c. If there is a repeat press ENTER again. The data are continuous because the data can only take on specific values. Each student is chosen using simple random sampling. It includes only those values which are separate and can only be counted in, , which means that the data can not be split into, Continuous data is the data that can be of any value. The gender of a person, i.e., male, female, or others, is qualitative data. Create a systematic sample of 12 quiz scores. 1: 23-54 (2012), ssh.dukejournals.org/content/36/1/23.abstract (accessed May 1, 2013). All students in those two years are in the sample. Otherwise, the variable is nominal. If you're asked whether age is a continuous or discrete variable in an Introductory Statistics class, the correct answer is technically continuous. . Ordinal data is qualitative data for which their values have some kind of relative position. Our choice also depends on what we are using the data for. The type of data that has clear spaces between values is discrete data. What type of data does this graph show? D. The ), Marital status (Single, Widowed, Married), When companies ask for feedback, experience, or satisfaction on a scale of 1 to 10, Letter grades in the exam (A, B, C, D, etc.

Modelos De Verjas Para Casas, Waltham Forest Premises Licence Register, Natomas Sacramento Zip Code, Strengths And Weaknesses Of Holland's Theory, Austria Address Format, Articles S

state whether the data is discrete or continuous