The data are continuous because the data can only take on specific values. This is important to know when we think about what the data are telling us. It includes only those values which are separate and can only be counted in whole numbers or integers, which means that the data can not be split into fractions or decimals. The data are discrete because the data can only take on specific values. This table displays six sets of quiz scores (each quiz counts 10 points) for an elementary statistics class. It was mentioned previously that two or more samples from the same population, taken randomly, and having close to the same characteristics of the population will likely be different from each other. How to Calculate the Percentage of Marks? The data are continuous because the data can take on any value in an interval. What type of data is this? O A. 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. Therefore this is discrete data. The first sample probably consists of science-oriented students. These data take on only certain numerical values. Complex numbers and fluctuating data values that be measured over a defined time frame are referred to as continuous data. Factors not related to the sampling process cause nonsampling errors. The two numbers are for two of the columns. You can specify conditions of storing and accessing cookies in your browser. The data are the weights of backpacks with books in them. We may prefer not to think of 10,00,100 and 10,00,102 as crucially different values, but instead as nearby points on an approximate continuum. It is easy in many cases, discrete data is preceded by the number of, which makes the differentiation of results easier. Show how you know. O A. On your calculator, press Math and arrow over to PRB. The data are because.continuous the data can only take on specific values C. These data dont have any meaningful order; their values are distributed into distinct categories. You sample five houses. Statistical data needs to be critically analyzed, not simply accepted. One student has a red backpack, two students have black backpacks, one student has a green backpack, and one student has a gray backpack. The action you just performed triggered the security solution. You can also visit their website. B.The data are discrete because the data can only take on specific values. Also, the sample represents only those who showed up to the event earlier than the majority. Record these numbers. It is not possible to measure qualitative data in terms of. Results are the outcome of our efforts and if you believe that you have put your best, then you will surely be able to score good marks. The data . B. Log on to our website and explore courses delivered by industry experts. Suppose ABC College has 10,000 part-time students (the population). a. It is also important to know what kind of plot is suitable for which data category; it helps in data analysis and visualization. You may wrap around (go back to the beginning). A continuous data set because there are infinitely mamy possible values and those values cannot be counted. First, we use convenience sampling and survey ten students from a first term organic chemistry class. D. The Suppose we take two different samples. 4. For the purpose of analysis, data are presented as the facts and figures collected together. The data are the areas of lawns in square feet. The data are discrete because the data can only take on specific values. 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. Convenience sampling involves using results that are readily available. The data are the number of books students carry in their backpacks. So is the case of statistics too. The durations of a chemical reaction comma repeated . 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. 1: 23-54 (2012), ssh.dukejournals.org/content/36/1/23.abstract (accessed May 1, 2013). A. The examples you have seen in this book so far have been small. Many other courses are available online to master your foundational knowledge which may assist you later. Determine whether the data described below are qualitative or quantitative and explain why: . Arrow over to PRB. For example, you can not have a natural order for apple, orange, and banana. Press ENTER 2 more times (even the repeats). The safest route is to avoid the closest pair of islands. QUESTIONState whether the data described below are discrete or continuous, and explain why. It is further classified as discrete data and continuous data. In this situation, create a bar graph and not a pie chart. Save my name, email, and website in this browser for the next time I comment. The weights of the soups (19 ounces, 14.1 ounces, 19 ounces) are quantitative continuous data because you measure weights as precisely as possible. O A. Qualitative data tells about the perception of people. State whether the data described below are discrete or continuous, and explain why. These values do not have to be complete numbers, but they are values that are fixed. Any group of n individuals is equally likely to be chosen by any other group of n individuals if the simple random sampling technique is used. To choose a stratified sample, divide the population into groups called strata and then take a proportionate number from each stratum. The students spend the following amounts: $180; $50; $150; $85; $260; $75; $180; $200; $200; $150. A stated earlier, Lengths are in general, continuous variables. Every value within a range is included in continuous data. feet, 160 sq. It can be the version of an android phone, the height of a person, the length of an object, etc. But graphs can be even more helpful in understanding the data. These data consist of audio, images, symbols, or text. You sample five gyms. O A. The data are the colors of backpacks. The number of classes a student missed. For the purpose of analysis, data are presented as the facts and figures collected together. The use of discrete and continuous quantitative variables would be helpful for detecting intervention effects . 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. 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. The amount of money they spend on books is probably much less than the average parttime student. The data are discrete because the data can only take on specific values. Just as there is variation in data, there is variation in samples. Ans: Ducks in a pond are discrete data because the number of ducks is a finite number. air. The data are the number of machines in a gym. O C. A random number generator is used to select a student from the alphabetical listing of all undergraduate students in the Fall semester. Amount of money, pulse rate, weight, number of people living in your town, and number of students who take statistics are examples of quantitative data. 26. categorical, quantitative discrete or quantitative continuous. state whether the data is continous or discrete The durations of 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. The data are discrete because the data can take on any value in an interval. Different types of data are used in research, analysis, statistical analysis, data visualization, and data science. It would be great if you already have a bit of knowledge about a course before opting for it. Accessibility StatementFor more information contact us atinfo@libretexts.orgor check out our status page at https://status.libretexts.org. 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. According to a report, today, at least2.5 quintillion bytes of data are produced per day. 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. B. CS State whether the data described below are discrete or continuous, and explain why. What type of data is this? answer below. State whether the data described below are discrete or continuous, and explain why. You should know how to manage your time and utilize it in the best way possible. the data can only take on specific values . 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. B. These types of data are sorted by category, not by number. Examples are lengths, temperature, etc. To find the average GPA of all students in a university, use all honor students at the university as the sample. Below are tables comparing the number of part-time and full-time students at De Anza College and Foothill College enrolled for the spring 2010 quarter. 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. Create a cluster sample by picking two of the columns. Confounding makes it difficult or impossible to draw valid conclusions about the effect of each factor. No. Continuous data is the data that can be of any value. Each undergraduate student in the fall semester has the same probability of being chosen at any stage of the sampling process. A type of sampling that is non-random is convenience sampling. The registrar at State University keeps records of the number of credit hours students complete each semester. The numbers generated are as follows: 0.94360; 0.99832; 0.14669; 0.51470; 0.40581; 0.73381; 0.04399. While working on these data, it is important to know the types of data to process them and get the right results. To choose a systematic sample, randomly select a starting point and take every nth piece of data from a listing of the population. Since this is the case, sampling without replacement is approximately the same as sampling with replacement because the chance of picking the same individual more than once with replacement is very low. Asking all 20,000 listeners is an almost impossible task. Number each department, and then choose four different numbers using simple random sampling. This is completely natural. Be aware that as you take data, your data may vary somewhat from the data someone else is taking for the same purpose. There are no strict rules concerning which graphs to use. For any particular sample of 1,000, if you are sampling with replacement. If you're asked whether age is a continuous or discrete variable in an Introductory Statistics class, the correct answer is technically continuous. B. 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. . There are several different methods of random sampling. the data can only take on specific values . Please include what you were doing when this page came up and the Cloudflare Ray ID found at the bottom of this page. The two-digit number 14 corresponds to Macierz, 05 corresponds to Cuningham, and 04 corresponds to Cuarismo. Your answer is correct. The numbers of hotels in cities Choose the correct answer below. continuous, and explain why. 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. B. 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 defective counting device can cause a nonsampling error. State whether the data described below are discrete or continuous, and explain why. When properly selected, larger samples model the population more closely than smaller samples. There are particular calculators for different statistics exams and having good knowledge about their use and implementation would be great. A sample that is not representative of the population is biased. If these data-driven topics got you interested in pursuing professional courses or a career in the field of Data Science. This data is so important for us that it becomes important to handle and store it properly, without any error. For example, suppose you have to do a phone survey. We all know that time is very important, it doesnt wait for anyone. Its really normal for you to feel anxious before your exam especially when the subject is statistics. The random numbers 0.94360 and 0.99832 do not contain appropriate two digit numbers. The second sample is taken using a list of senior citizens who take P.E.
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