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discrete because the data can only. What are the career options in the field of Statistics? This data is so important for us that it becomes important to handle and store it properly, without any error. Gathering information about an entire population often costs too much or is virtually impossible. - Example, Formula, Solved Examples, and FAQs, Line Graphs - Definition, Solved Examples and Practice Problems, Cauchys Mean Value Theorem: Introduction, History and Solved Examples. OD. The data are discrete because the data can take on any value in an interval. Experts are tested by Chegg as specialists in their subject area. Self-selected samples: Responses only by people who choose to respond, such as call-in surveys, are often unreliable. Determine whether the given value is from a discrete or continuous data Three cell phone towers form APQR. That is, once a member is picked, that member goes back into the population and thus may be chosen more than once. Most of these students are, more than likely, paying more than the average part-time student for their books. The data are continuous because The data are discrete because the data can only take on specific values. The data are continuous because the data can only take on specific values. Data is the new oil. Today data is everywhere in every field. I want to study the topic of Statistics for my college-level exams? Instead of that, just revise what youve already done. In today's changing times, pursuing a career in this subject is known to provide some of the most sought professional options. Nominal Data is used to label variables without any order or quantitative value. A medical researcher interviews every third cancer patient from a list of cancer patients at a local hospital. This is important to know when we think about what the data are telling us. 4. Most data can be put into the following categories: Qualitative data are the result of categorizing or describing attributes of a population. It only contains finite values, the subdivision of which is not possible. The amount of money they spend on books is probably much less than the average parttime student. However, in the real world age is often treated as a discrete variable because it makes more sense when collecting data and when reporting the results of a study. You should ask the doubt there and then clear it, analyze it and work on it. The numbers of books (three, four, two, and one) are the quantitative discrete data. Doreen uses systematic sampling and Jung uses cluster sampling. feet, 190 sq. Solved State whether the data described below are discrete - Chegg The data are continuous because the data can only take on specific values. And this is the reason why most students find it to be an interesting subject. Do you think that either of these samples is representative of (or is characteristic of) the entire 10,000 part-time student population? Determine whether the data are from discrete data or continuous data set. You'll get a detailed solution from a subject matter expert that helps you learn core concepts. (a) Is the data discrete or continuous? Why? (b) Prepare a freq | Filo Doreen and Jung each take samples of 500 students. For these samples, each member of the population did not have an equally likely chance of being chosen. It is also important to know what kind of plot is suitable for which data category; it helps in data analysis and visualization. In each form of random sampling, each member of a population initially has an equal chance of being selected for the sample. A. The use of discrete and continuous quantitative variables would be helpful for detecting intervention effects . A. 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. O A. Zanas house is at A, 500 feet from the intersection, and Tan's house is at B, 750 feet from F. Which distance is longer, the distance from Zana's house to Tan's house or the distance from Theresa's house to Is house? The three cans of soup, two packages of nuts, four kinds of vegetables and two desserts are quantitative discrete data because you count them. Difference Between Continuous and Discrete Data, Questions on Discrete Data Continuous Data. The bar graph is used to graphically represent discrete data. For example, call-in surveys are invariably biased, because people choose to respond or not. The second pair starts due west and then turns 40 toward south. 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. Record the quiz scores that correspond to these numbers. Discrete vs continuous data are two broad categories of numeric variables. according to measurement accuracy, it can be significantly subdivided into smaller sections. Question: CS State whether the data described below are discrete or continuous, and explain why. It is further classified as discrete data and continuous data. B. 2003-2023 Chegg Inc. All rights reserved. There are many different potential problems that can affect the reliability of a sample. Question: State whether the data described below are discrete or continuous, and explain why. In reality, a sample will never be exactly representative of the population so there will always be some sampling error. Press MATH. OB. Sampling without replacement instead of sampling with replacement becomes a mathematical issue only when the population is small. When a sampling bias happens, there can be incorrect conclusions drawn about the population that is being studied. Sample size issues: Samples that are too small may be unreliable. Read the study carefully to evaluate the work. According to a report, today, at least2.5 quintillion bytes of data are produced per day. Data that can only take on certain values are discrete data. Besides simple random sampling, there are other forms of sampling that involve a chance process for getting the sample. Quick Check Introduction to Data Science. b. The prison populations of different countries ha Choose the correct answer below. The road from A to E and the road from C and D are perpendicular and intersect at point F. Theresa's house is at C, 500 feet from the intersection. O A. categorical, quantitative discrete or quantitative continuous. 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. Quantitative data, on the other hand, is one that contains numerical values and uses a scope. However for practical reasons, in most populations, simple random sampling is done without replacement. For example, the sample may not be large enough. Q: State whether the data below are discrete or continuous, explain why. For example, the number of desks in an office, the number of times a dice is rolled, the number of telephone calls received, etc. the data can only take on specific values . Confounding makes it difficult or impossible to draw valid conclusions about the effect of each factor. If you and your friends carry backpacks with books in them to school, the numbers of books in the backpacks are discrete data and the weights of the backpacks are continuous data. When you have a numeric variable, you need to determine whether it is discrete or continuous. Neither would be wrong, however. Ungrouped frequency distribution of discrete data is performed against a single value. On Tax Day, House to Call for Firing Federal Workers Who Owe Back Taxes. These data dont have any meaningful order; their values are distributed into distinct categories. This is completely natural. The numbers of programs installed on various computers ANSWERA.) Name data sets that are quantitative discrete, quantitative continuous, and qualitative. Statistical data about spreading of the epidemic are known in discrete periods of time, for example twenty-four hours. Asking all 20,000 listeners is an almost impossible task. State whether the data described below are discrete or continuous, and explain why. Just as there is variation in data, there is variation in samples. You can also visit their website. A random number generator is used to select a student from the alphabetical listing of all undergraduate students in the Fall semester. The Data and Story Library, lib.stat.cmu.edu/DASL/Datafiles/USCrime.html (accessed May 1, 2013). All data that are the result of counting are called quantitative discrete data. Work collaboratively to determine the correct data type (quantitative or qualitative). The number of books in a rack is a finite countable number. These values do not have to be complete numbers, but they are values that are fixed. The following pie charts have the Other/Unknown category included (since the percentages must add to 100%). All data that are the result of measuring are quantitative continuous data assuming that we can measure accurately. 2003-2023 Chegg Inc. All rights reserved. Accessibility StatementFor more information contact us atinfo@libretexts.orgor check out our status page at https://status.libretexts.org. As a rule, the larger the sample, the smaller the sampling error. Number of bacteria in a petri dish is 12,120. When you analyze data, it is important to be aware of sampling errors and nonsampling errors. If she needed to, Lisa could have generated more random numbers. The sample probably consists more of people who prefer music because it is a concert event. 1: 23-54 (2012), ssh.dukejournals.org/content/36/1/23.abstract (accessed May 1, 2013). The tables display counts (frequencies) and percentages or proportions (relative frequencies).