Can I get some help? on any value in an interval . Self-funded or self-interest studies: A study performed by a person or organization in order to support their claim. Your email address will not be published. Quantitative data, on the other hand, is one that contains numerical values and uses a scope. Both samples are biased. Save my name, email, and website in this browser for the next time I comment. Ducks in a pond are discrete data because the number of ducks is a finite number. What type of data is this? Press ENTER. Press ENTER two more times for the other 2 random numbers. Divide your college faculty by department. The data he collects are summarized in the histogram. Compare the fractions 999/10,000 and 999/9,999. feet, 190 sq. Quantitative data are always numbers. Data may be classified as qualitative, quantitative continuous, or quantitative discrete. Each random number may only contribute one class member. . It is a good idea to look at a variety of graphs to see which is the most helpful in displaying the data. What is the main difference between discrete and continuous data? discrete because the data can only take on specific values . Statistics and Probability questions and answers, CS State whether the data described below are discrete or continuous, and explain why. The data are discrete because the data can . Whenever you face any problem the best solution is consulting the concerned teacher, you should never hesitate to ask for doubts. This pie chart shows the students in each year, which is qualitative data. The data are because.continuous the data can only take on specific values C. data are discrete because the data can take on any value in an The data are continuous because the data can only take on specific values. Collecting data carelessly can have devastating results. Over time, some continuous data can change. a chemical reaction comma repeated several times Choose the correct 2. Now, suppose we take a third sample. . feet. answer below. One-third of a number when decreased by 2 equals one-fifth of the nimenbe Find the number. Thats why it is also known as Categorical Data. From that number, count ten quiz scores and record that quiz score. Think about what contributes to making Doreens and Jungs samples different. The data are continuous because the data can take on any value in an interval. Hair color, blood type, ethnic group, the car a person drives, and the street a person lives on are examples of qualitative data. Examples of discrete variables are the number of students and age. A high school counselor uses a computer to generate 50 random numbers and then picks students whose names correspond to the numbers. Note: randInt(0, 30, 3) will generate 3 random numbers. Then survey every U.S. congressman in the cluster. according to measurement accuracy, it can be significantly subdivided into smaller sections. The data are discrete because the data can only take on specific values. State whether the data described below are discrete or? The weights (in tons) of the trees in a forestANSWERA.) O A. Most data can be put into the following categories: Qualitative data are the result of categorizing or describing attributes of a population. Question: CS State whether the data described below are discrete or continuous, and explain why. So, you will get the result too! ), Ranking of people in a competition (First, Second, Third, etc. If you're asked whether age is a continuous or discrete variable in an Introductory Statistics class, the correct answer is technically continuous. Show Less. They may be related (correlated) because of their relationship through a different variable. Number each department, and then choose four different numbers 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. O C. The data are continuous because the data can. Record the number. This data helps a company analyze its business, design its strategies, and help build a successful data-driven decision-making process. The following pie charts have the Other/Unknown category included (since the percentages must add to 100%). 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. You can get study material, solved and unsolved questions, and also quizzes which will help you test your knowledge. The examples you have seen in this book so far have been small. Ra The data are the number of books students carry in their backpacks. On Tax Day, House to Call for Firing Federal Workers Who Owe Back Taxes. This website is using a security service to protect itself from online attacks. But still, their samples would be, in all likelihood, different from each other. Determine the type of sampling used (simple random, stratified, systematic, cluster, or convenience). feet, 160 sq. For example, it does not make sense to find an average hair color or blood type. What type of data is this? b. The durations of a chemical reaction comma repeated . All data that are the result of counting are called quantitative discrete data. Ungrouped frequency distribution of discrete data is performed against a single value. It is classified into two broad categories: qualitative data and quantitative data. Self-selected samples: Responses only by people who choose to respond, such as call-in surveys, are often unreliable. 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 instance, hair color might be black, dark brown, light brown, blonde, gray, or red. This data is so important for us that it becomes important to handle and store it properly, without any error. ), Education Level (Higher, Secondary, Primary), Total numbers of students present in a class, The total number of players who participated in a competition. Press ENTER 15 times and record the numbers. Learn data analytics or software development & get guaranteed* placement opportunities. Continuous information is information that falls into a continuous series. The data are discrete because the data can only take on specific . Click to reveal State whether the data described below are discrete or continuous and explain why The amounts of time that different - Answered by a verified Tutor . Which pair is farther from camp? OD. Also, in both cases, not all students have a chance to be in either sample. Researchers often prefer to use quantitative data over qualitative data because it lends itself more easily to mathematical analysis. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. A medical researcher interviews every third cancer patient from a list of cancer patients at a local hospital. The data are discrete because the data can only take on specific values. Also read: 22 Top Data Science Books Learn Data Science Like an Expert. The second sample is a group of senior citizens who are, more than likely, taking courses for health and interest. Suppose ABC College has 10,000 part-time students (the population). The data . A continuous data set because there are infinitely many possible values and those values cannot be counted. 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. Create a simple random sample of 15 quiz scores. Record the three quiz scores in column one that correspond to these three numbers. Divide 84 a money box contains 1 coins, 2 coins, 5 coins and 10 coins 10 coins is four times the number of 1 coins. Your instructor will give each group one six-sided die. (We assume that these are the only disciplines in which part-time students at ABC College are enrolled and that an equal number of part-time students are enrolled in each of the disciplines.) Surveys mailed to households and then returned may be very biased (they may favor a certain group). 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. Even if Doreen and Jung used the same sampling method, in all likelihood their samples would be different. If you count the number of phone calls you receive for each day of the week, you might get values such as zero, one, two, or three. 26. They spend: $50; $40; $36; $15; $50; $100; $40; $53; $22; $22. Position 1 is less than the distance from G to H in Position 2. If you feel tired at the moment, even that too is fine. Notice how much larger the percentage for part-time students at Foothill College is compared to De Anza College. It is not possible to measure qualitative data in terms of. Legal. When you analyze data, it is important to be aware of sampling errors and nonsampling errors. Press ENTER. The data are continuous because the data can only take on specific values. A sample that is not representative of the population is biased. the number of data values is increased), their sample results (the average amount of time a student sleeps) might be closer to the actual population average. This table displays six sets of quiz scores (each quiz counts 10 points) for an elementary statistics class. You will learn why when you study confidence intervals. The job of the statistician is to see through the variability and draw appropriate conclusions. I want to study the topic of Statistics for my college-level exams? Be aware that as you take data, your data may vary somewhat from the data someone else is taking for the same purpose. Hint: Data that are discrete often start with the words "the number of." the number of pairs of shoes you own. Press MATH. It is also important to know what kind of plot is suitable for which data category; it helps in data analysis and visualization. Each undergraduate student in the fall semester has the same probability of being chosen at any stage of the sampling process. For example, the sample may not be large enough. The results of convenience sampling may be very good in some cases and highly biased (favor certain outcomes) in others. According to a report, today, at least2.5 quintillion bytes of data are produced per day. Compare the fractions 9/25 and 9/24. As you become accustomed to sampling, the variability will begin to seem natural. 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 continuous because the data can take Read the study carefully to evaluate the work. These kinds of data are also known as Numerical data. categorical, quantitative discrete or quantitative continuous. 25. 4. For the purpose of analysis, data are presented as the facts and figures collected together. 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. B. While working on these data, it is important to know the types of data to process them and get the right results. Neither would be wrong, however. Just as there is variation in data, there is variation in samples. a. This is completely natural. 24 people said theyd prefer more talk shows, and 176 people said theyd prefer more music. 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.
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state whether the data is discrete or continuous