state whether the data is discrete or continuous
O A. To four decimal places, these numbers are not equivalent. The data are because.continuous the data can take on any value in an interval B. If Doreen and Jung took larger samples (i.e. The data are discrete because the data can only take on specific values. For qualitative data, if the list can be sorted naturally, we further specify it as an ordinal variable. Researchers often prefer to use quantitative data over qualitative data because it lends itself more easily to mathematical analysis. Press 5:randInt( and enter 1,6). Continuous data represents information that can be divided into smaller levels. Even if Doreen and Jung used the same sampling method, in all likelihood their samples would be different. Show Less. The points are associated with an unbroken line. Quantitative data are always numbers. From that number, count ten quiz scores and record that quiz score. The job of the statistician is to see through the variability and draw appropriate conclusions. Compared to nominal data, ordinal data have some kind of order that is not present in nominal data. Press 5:randInt( and enter 1, 60). O A. Each student in the following samples is asked how much tuition he or she paid for the Fall semester. Q: Classify the Following as Discrete and Continuous Data. State whether the data described below are discrete or continuous, and explain why. Step 2: Discrete and continuous data. 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. This is true even when the samples are well-chosen and representative of the population. Quantitative data can be expressed in numerical values, making it countable and including statistical data analysis. You are going to use the random number generator to generate different types of samples from the data. A. Create a cluster sample by picking two of the columns. , i.e. OD. Discrete data: When numerical data has values that are countable and specific to a particular category, it is called discrete data. For example, in the case of statistics, algebra is a good option to learn before starting your statistics course. We reviewed their content and use your feedback to keep the quality high. The second sample is taken using a list of senior citizens who take P.E. The first There are a number of options if you go for the statistics degree. O C. The continuous data can be broken down into fractions and decimals, i.e. The safest route is to avoid the closest pair of islands. There are particular calculators for different statistics exams and having good knowledge about their use and implementation would be great. 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. The height of a student from age 5-15 is continuous data because the height varies continuously from age 5-15 which is not a constant for 10 years. Question: State whether the data described below are discrete or continuous, and explain why. A pie chart cannot be used. Is the study impartial? according to measurement accuracy, it can be significantly subdivided into smaller sections. Working on data is crucial because we need to figure out what kind of data it is and how to use it to get valuable output out of it. Press ENTER. You should ask the doubt there and then clear it, analyze it and work on it. Common problems to be aware of include. Statistics involves organizing, analyzing, interpreting, and representing data. This data helps market researchers understand the customers tastes and then design their ideas and strategies accordingly. OC. Required fields are marked *. The data are discrete because the data can only take on specific values. Doreen and Jung each take samples of 500 students. Evaluate it on its merits and the work done. 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. Why or why not? To four decimal places, 9/25 = 0.3600 and 9/24 = 0.3750. c. Try this experiment twice. In this situation, create a bar graph and not a pie chart. State whether the data described below are discrete or continuous, and explain why: . Suppose we take two different samples. 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. Examples of discrete variables are the number of students and age. Your IP: For example, you can not have a natural order for apple, orange, and banana. C. If quantitative, state whether it's discrete or continuous. 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. What can you conclude about the angles opposite these sides? The key difference between discrete and continuous data is that discrete data contains the integer or whole number. A student interviews classmates in his algebra class to determine how many pairs of jeans a student owns, on the average. 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. Systematic sampling is frequently chosen because it is a simple method. There are several actions that could trigger this block including submitting a certain word or phrase, a SQL command or malformed data. 2013. The registrar at State University keeps records of the number of credit hours students complete each semester. I want to study the topic of Statistics for my college-level exams? Examples: crash testing cars or medical testing for rare conditions, Undue influence: collecting data or asking questions in a way that influences the response. B. O C. The data are continuous because the data can. The triangles show the position of the gate in relation to its closed position. 1. You count discrete data. Discrete data is data that can only take certain values, while data that can take any value is continuous data. On the other hand, if we count large quantities of any discrete entity. The size of a sample (often called the number of observations) is important. A type of sampling that is non-random is convenience sampling. 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. Record the three quiz scores in column one that correspond to these three numbers. If they are not, discuss the reasons. Other well-known random sampling methods are the stratified sample, the cluster sample, and the systematic sample. The station uses convenience sampling and surveys the first 200 people they meet at one of the stations music concert events. 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. The tables display counts (frequencies) and percentages or proportions (relative frequencies). Try to identify additional data sets in this example. Question: CS State whether the data described below are discrete or continuous, and explain why. 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). Continuous data. This section will describe a few of the most common methods. What are the career options in the field of Statistics? OB. If you feel like your doubt is stupid and you skip it rather than ask it, it is not the correct approach. Determine whether the data described below are qualitative or quantitative and explain why: . Name data sets that are quantitative discrete, quantitative continuous, and qualitative. As a rule, the larger the sample, the smaller the sampling error. Collecting data carelessly can have devastating results. Do not automatically assume that the study is good, but do not automatically assume the study is bad either. 5. The list of fruit is nominal. on any value in an interval . But still, their samples would be, in all likelihood, different from each other. Then choose every fiftieth name thereafter until you have a total of 400 names (you might have to go back to the beginning of your phone list). c . state whether the data is continous or discrete The durations of Also, the sample represents only those who showed up to the event earlier than the majority. The percent columns make comparing the same categories in the colleges easier. Grouped distribution of continuous data tabulation frequencies is performed against a value group. 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. Problems with samples: A sample must be representative of the population. Data are individual items of information that come from a population or sample. Every value within a range is included in continuous data. O C. a chemical reaction comma repeated several times Choose the correct Types of soups, nuts, vegetables and desserts are qualitative data because they are categorical. Which is the safest route for the ship? A sample should have the same characteristics as the population it is representing. Therefore, adjustment of the differential equations system under such data . Press ENTER and record that number. A pollster interviews all human resource personnel in five different high tech companies. This pie chart shows the students in each year, which is qualitative data. discrete because the data can only take on specific values . Compare the fractions 999/10,000 and 999/9,999. Data that can take a decimal value and can vary across a range is called . 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. Which two towers are closest together. Besides the chemistry course, some of them are also taking first-term calculus. The following graph is the same as the previous graph but the Other/Unknown percent (9.6%) has been included. Nominal and ordinal data can act as both discrete and continuous. The Literary Digest Poll, Virtual Laboratories in Probability and Statistics, Gallup Presidential Election Trial-Heat Trends, 19362008, Gallup Politics. Our choice also depends on what we are using the data for. There are distinct or different values in discrete data. Frequently Asked Questions, Pew Research Center for the People & the Press, www.people-press.org/methodolwer-your-polls (accessed May 1, 2013). Ivy's house is at E, 750 feet from the intersection. You sample the same five students. However, generally, we use age as a discrete, NCERT Solutions for Class 12 Business Studies, NCERT Solutions for Class 11 Business Studies, NCERT Solutions for Class 10 Social Science, NCERT Solutions for Class 9 Social Science, NCERT Solutions for Class 8 Social Science, CBSE Previous Year Question Papers Class 12, CBSE Previous Year Question Papers Class 10. All data that are the result of measuring are quantitative continuous data assuming that we can measure accurately. O B. O A. No. The data . The following pie charts have the Other/Unknown category included (since the percentages must add to 100%). Quantitative data, on the other hand, is one that contains numerical values and uses a scope. O C. The data are continuous because the data can take on any value in an interval. For column 1, Press 5:randInt( and enter 1,10). You can go for a business analyst or a statistician or a financial analyst or even an economist etc. The exact lengths (in kilometers) of the ocean coastlines of different countries. Press ENTER 15 times and record the numbers. Weights are quantitative continuous data because weights are measured. Here are a few steps to prepare well for your exam which has statistics as a part of the course. Experts are tested by Chegg as specialists in their subject area. Hint: Data that are discrete often start with the words "the number of." the number of pairs of shoes you own. Solution: - Data : The capacities of different hotels. So is the case of statistics too. ), Ranking of people in a competition (First, Second, Third, etc. 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. the chance of picking the first person for any particular sample is 1000 out of 10,000 (0.1000); the chance of picking a different second person is 999 out of 9,999 (0.0999); you do not replace the first person before picking the next person. amount of money (in dollars) won playing poker, IQ scores (This may cause some discussion.). State whether the data described below are discrete or? Press ENTER. A. If the survey is done well, the answer is yes. Save my name, email, and website in this browser for the next time I comment. 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. The volume of cola in a can is 11.8 oz. We need to evaluate the statistical studies we read about critically and analyze them before accepting the results of the studies. The actual process of sampling causes sampling errors. Also read: 22 Top Data Science Books Learn Data Science Like an Expert. The numbers of programs installed on various computers ANSWERA.) 13. When you have a numeric variable, you need to determine whether it is discrete or continuous. Read the study carefully to evaluate the work. A more technological way is for Lisa to first list the last names of the members of her class together with a two-digit number, as in Table \(\PageIndex{2}\): Lisa can use a table of random numbers (found in many statistics books and mathematical handbooks), a calculator, or a computer to generate random numbers. . This variability in samples cannot be stressed enough. It is not possible to measure qualitative data in terms of numbers and it is subdivided into nominal and ordinal data.