state whether the data is discrete or continuous

The data are discrete because the data can take on any value in an interval. Age is discrete data because we could be infinitely precise and use an infinite number of decimal places, rendering age continuous as a result. Sample size issues: Samples that are too small may be unreliable. Record these numbers. Show how you know. The data are continuous because the data can only take on specific values. The data are continuous because the data can take That is, a member of the population may be chosen only once. Experts are tested by Chegg as specialists in their subject area. The volumes left parenthesis in cubic feet right parenthesis of different rooms Choose the correct answer below. B. Random sampling methods include simple random sampling, stratified sampling, cluster sampling, and systematic sampling. Continuous Data Examples: Measurement of height and weight of a student, Daily temperature measurement of a place, Wind speed measured daily, etc. Sampling without replacement instead of sampling with replacement becomes a mathematical issue only when the population is small. Also, in both cases, not all students have a chance to be in either sample. Systematic sampling is frequently chosen because it is a simple method. Here are a few steps to prepare well for your exam which has statistics as a part of the course. There are particular calculators for different statistics exams and having good knowledge about their use and implementation would be great. . You can specify conditions of storing and accessing cookies in your browser. You will learn why when you study confidence intervals. All data that are the result of measuring are quantitative continuous data assuming that we can measure accurately. To find the average annual income of all adults in the United States, sample U.S. congressmen. The option "B" is correct i.e. A continuous data set because there are infinitely mamy possible values and those values cannot be counted. The ordinal data only shows the sequences and cannot use for statistical analysis. Record the number. You cannot expect your brain to work nicely with hundreds of thoughts, it will only create a mess. Once you are clear with the basic concept, you shall be able to understand additional concepts easily. 25. The tables display counts (frequencies) and percentages or proportions (relative frequencies). The color of hair can be considered nominal data, as one color cant be compared with another color. Record the number and the first quiz score. Data that takes distinct values and cannot be in decimals is called discrete data. Data that can take a decimal value and can vary across a range is called . Then survey every U.S. congressman in the cluster. Surveys are typically done without replacement. Nominal Data is used to label variables without any order or quantitative value. Hint: Data that are discrete often start with the words "the number of.". The discrete data are countable and have finite values; their subdivision is not possible. For example, you can not have a natural order for apple, orange, and banana. Examples are lengths, temperature, etc. The sample probably consists more of people who prefer music because it is a concert event. The data are discrete because the data can only take on specific values. The volume of cola in a can is 11.8 oz. Create a cluster sample by considering each state as a stratum (group). Notice that backpacks carrying three books can have different weights. discrete because the data can only. C. The data are Read the study carefully to evaluate the work. The data are discrete because the data can only take on specific values. b. Both samples are biased. The chart in Figure \(\PageIndex{6}\) is organized by the size of each wedge, which makes it a more visually informative graph than the unsorted, alphabetical graph in Figure \(\PageIndex{6}\). This is true even when the samples are well-chosen and representative of the population. feet, 190 sq. A random number generator is used to pick two of those years. 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. Create a systematic sample of 12 quiz scores. You'll get a detailed solution from a subject matter expert that helps you learn core concepts. Hair color, blood type, ethnic group, the car a person drives, and the street a person lives on are examples of qualitative data. It helps you in saving time later as you already have some knowledge about algebra. B. What type of data is this? Convenience sampling is a nonrandom method of choosing a sample that often produces biased data. As a class, determine whether or not the following samples are representative. Discrete data. Neither would be wrong, however. A. B. Three cell phone towers form APQR. These values do not have to be complete numbers, but they are values that are fixed. Record the quiz scores that correspond to these numbers. Ducks in a pond are discrete data because the number of ducks is a finite number. It might sound a bit weird but do not burden yourself with new topics before the exam. The Other/Unknown category is large compared to some of the other categories (Native American, 0.6%, Pacific Islander 1.0%). Excelling your basic knowledge about the subject promotes conceptual learning and hence, you can easily get familiar with new concepts too. When you analyze data, it is important to be aware of sampling errors and nonsampling errors. feet, 180 sq. Samples that contain different individuals result in different data. If you're asked whether age is a continuous or discrete variable in an Introductory Statistics class, the correct answer is technically continuous. and it is subdivided into nominal and ordinal data. according to measurement accuracy, it can be significantly subdivided into smaller sections. Manufacturers regularly run tests to determine if the amount of beverage in a 16-ounce can falls within the desired range. These data cant be broken into decimal or fraction values. Your phone book contains 20,000 residence listings. I want to study the topic of Statistics for my college-level exams? Data may be classified as qualitative, quantitative continuous, or quantitative discrete. The weights (in pounds) of their backpacks are 6.2, 7, 6.8, 9.1, 4.3. Indicate whether quantitative data are continuous or discrete. Collecting data carelessly can have devastating results. For example, call-in surveys are invariably biased, because people choose to respond or not. Your answer is correct. Discrete data is data that can only take certain values, while data that can take any value is continuous data. The data are continuous because Accessibility StatementFor more information contact us atinfo@libretexts.orgor check out our status page at https://status.libretexts.org. Press ENTER 2 more times (even the repeats). A pie chart cannot be used. 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. Now, suppose we take a third sample. B. Each travels 2 miles, then changes direction and travels 1.2 miles. 1: 23-54 (2012), ssh.dukejournals.org/content/36/1/23.abstract (accessed May 1, 2013). For these samples, each member of the population did not have an equally likely chance of being chosen. (2012), D is the discrete character data, z is a particular character mapping, and are the parameters of the hOUwie model. A soccer coach selects six players from a group of boys aged eight to ten, seven players from a group of boys aged 11 to 12, and three players from a group of boys aged 13 to 14 to form a recreational soccer team. No. Other well-known random sampling methods are the stratified sample, the cluster sample, and the systematic sample. Please include what you were doing when this page came up and the Cloudflare Ray ID found at the bottom of this page. The following pie charts have the Other/Unknown category included (since the percentages must add to 100%). To determine the proportion of people taking public transportation to work, survey 20 people in New York City. State whether the data described below are discrete or continuous, and explain why. It is a good idea to look at a variety of graphs to see which is the most helpful in displaying the data. Dominic Lusinchi, President Landon and the 1936 Literary Digest Poll: Were Automobile and Telephone Owners to Blame? Social Science History 36, no. 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 A. You sample five houses. Hint: Data that are discrete often start with the words "the number of." the number of pairs of shoes you own. The data will be quantitative, say 2+3 (=5) apples. To find out the most popular cereal among young people under the age of ten, stand outside a large supermarket for three hours and speak to every twentieth child under age ten who enters the supermarket. The continuous variable can take any value within a range. The use of discrete and continuous quantitative variables would be helpful for detecting intervention effects . CS State whether the data described below are discrete or continuous, and explain why. 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. Data from www.bookofodds.com/Relationsh-the-President. O A. The distance from G to H in What type of data is this? classes and taking every fifth senior citizen on the list, for a total of ten senior citizens. The data are continuous because The exact lengths (in kilometers) of the ocean coastlines of different countries. There are a number of options if you go for the statistics degree. The data are discrete because the data can only take on specific values. 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. Quick Check Introduction to Data Science. In each form of random sampling, each member of a population initially has an equal chance of being selected for the sample. You measure continuous data. b. The numbers of hotels in cities Choose the correct answer below. Press ENTER. C. When a sampling bias happens, there can be incorrect conclusions drawn about the population that is being studied. The points are associated with an unbroken line. Number of bacteria in a petri dish is 12,120. Therefore, adjustment of the differential equations system under such data . The areas of the lawns are 144 sq. You go to the supermarket and purchase three cans of soup (19 ounces) tomato bisque, 14.1 ounces lentil, and 19 ounces Italian wedding), two packages of nuts (walnuts and peanuts), four different kinds of vegetable (broccoli, cauliflower, spinach, and carrots), and two desserts (16 ounces Cherry Garcia ice cream and two pounds (32 ounces chocolate chip cookies). . This section will describe a few of the most common methods. In a college population of 10,000 people, suppose you want to pick a sample of 1,000 randomly for a survey. ), Ranking of people in a competition (First, Second, Third, etc. In today's changing times, pursuing a career in this subject is known to provide some of the most sought professional options. This data is so important for us that it becomes important to handle and store it properly, without any error. Show Less. Step One: Master the Foundational Knowledge. State whether the data described below are discrete or continuous and explain why The amounts of time that different - Answered by a verified Tutor . 2. . This data helps market researchers understand the customers tastes and then design their ideas and strategies accordingly. Step 2: Discrete and continuous data. It also could not be used if the percentages added to less than 100%. Many of these students are taking first term calculus in addition to the organic chemistry class. It only contains finite values, the subdivision of which is not possible. Types of soups, nuts, vegetables and desserts are qualitative data because they are categorical. A high school counselor uses a computer to generate 50 random numbers and then picks students whose names correspond to the numbers. OB. 3. The data are discrete because the data can take on any value in an interval. It only contains finite values, the subdivision of which is not possible. Another example is learning how to use calculators. Compare the fractions 999/10,000 and 999/9,999. A statistics professor collects information about the classification of her students as freshmen, sophomores, juniors, or seniors. on any value in an interval . Doreen and Jung each take samples of 500 students. Discrete is data that can take only certain values. a. stratified; b. systematic; c. simple random; d. cluster; e. convenience. LBCC Distance Learning (DL) program data in 2010-2011. lastbaldeagle. Otherwise, the variable is nominal. 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.

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