Our experts can answer your tough homework and study questions. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. C. Explain the following: (a) the f-test (b) f-statistic of the linear regression model. Explain the meaning of the term "coefficient of determination" in the context of linear regression. The variable is continuous because it is countable. January 3, 2023. Indicator variables typically are value of zero or one, and are used to model the effects of different levels of______ variables. Explain how statistical procedures can help you determine whether the data is attributable to chance factors. Undergraduates who attend a college Determine whether each of the following data sets is qualitative or quantitative. You are preparing to study the exercise habits of college students. C. How is a linear relationship between two variables measured in statistics? A. a. There are only finite numbers. The variable is discrete because it is not countable. 3. A confounding variable is a response variable that has an effect on the explanatory variable, but it cannot be accurately measured in the study. Which value of r indicates a strong correlation: r=0.793? B. What are the two major types of variables in research? D. Size (59, 41, 58, 55, 51), screen type (Plasma, Plasma, Projection, Plasma, Plasma), and number of channels available (300, 119, 423, 270, 290) Statistics is the science of collecting, organizing, summarizing, and analyzing information to draw a conclusion and answer questions. There are a variety of ways that quantitative data arises in statistics. What is the difference between quantitative and qualitative data? B. C. Explain your reasoning. Ratio Also known as quantitative data, this numerical data type can be used as a form of measurement, such as a persons height, weight, IQ, etc. D. What kind of variable (quantitative or categorical) is : - medication? Data at the ordinal level can be qualitative or quantitative. Is the following . Ordinal The high-definition television setups A through E. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Which variable would be the response variable? Method: The qualitative study involved 574 students from Grades 6 to 12 in ten New Jersey schools. Before fitting two-way ANOVA table, we plot boxplots (response variable against different levels of each categorical variables), what are the boxplots used for? The variable is quantitative because it is a numerical measure. Names or labels (i.e., categories) with no logical order or with a logical order but inconsistent differences between groups (e.g., rankings), also known as qualitative. The variable is quantitative because it is an attribute characteristic. When there is zero confounding in a study, the effects of the response variable are entirely caused by the effects of the explanatory variable. Are the types of religions that have tax-free status in the United States a categorical or quantitative variable? The variable is continuous because it is not countable. Is there a proper earth ground point in this switch box? Data at this level can be arranged in order, or ranked, but differences between data entries are not meaningful. jersey numbers for players on a basketball team 18 9 56 14 20 7 12 11 33 21 5 19 8 16 3 4 17 22 2 43 30 45 13 32 23 71 15 Identify the level of measurement of the data set. What is the difference between qualitative and quantitative data? It is a quantitative variable. Data that you will see: Quantitative data are always numbers. quantitative variable. Is a football jersey number a quantitative or a categorical 1 Approved Answer Kalla K answered on April 07, 2021 5 Ratings ( 10 Votes) Examples: name, rank, jersey number of a team member, cell phone number, license number. D. In addition, lurking variables are typically very large numbers that make them difficult, if not impossible, to include in a study. What is the population in the study? Classify the following variable as categorical (possibly binary) or quantitative. and live outside the United States. Ratio data C. Interval data D. Ordinal data. In studying samples, we examine 2 kinds of variables named categorical and quantitative. Examples: name, rank, jersey number of a team member, cell phone number, license number. B. Their values do not result from measuring or counting. Provide an example of this. BLANK is a person or object that is a member of the population being studied. Determine whether the variable is qualitative or quantitative. Victoria America's Next Top Model Eating Disorder. Continuous: measurement data that can have infinitely many possible values between two values not limited by measurement device. Age, height, weight, that's all numerical data. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. Televisions with screen sizes between 40 in and 60 in. c. The jersey numbers of the WSU basketball . The present article describes the paradigms of qualitative and quantitative research. B. This sometimes causes a misleading interpretation of the relationship between the two variables. -10, 32, 3, 12, 20, 30, 36, 32, 74, 26, 16, 7, 20, 33. Learn more about Stack Overflow the company, and our products. Is the birth year both quantitative and qualitative? A researche wants to test. A. Where Can I Buy Eel For Sushi, The method of analysis differs for each type of data. Essentially, categorical refers to the word qualitative.. b. Number of medals in a year Qualitative data are generally described by words or letters. McKinsey & Company New Jersey, United States. Determine the level of measurement of the variable. However, these quantitative values do not have numeric properties. These demographics are frequently referred to as demographics. What are the two types of quantitative variables? Categorical data is a type of data that can be divided or classified into groups. A confounding variable is the explanatory variable on which a study has been focused. Determine whether the underlined numerical value is a parameter or a statistic. What is the level of measurement for the variables? In a table, designer values usually do not repeat, but variable values do. Because of th, If the coefficient of correlation is 0.8, what is the percentage of variation in the dependent variable explained by the variation in the independent variable? Is the variable qualitative or quantitative? Quantitative and qualitative determination of carotenoids and polyphenolics compounds in selected cultivars of Prunus persica L. and their ability to in vitro inhibit lipoxygenase, . A. Is the variable discrete or continuous? Data collection is the systematic process by which observations or measurements are gathered in research. Can a data piece be classified as both? A designed experiment measures the value of the response variable without attempting to influence the value of either the response or explanatory variables. Personal biodata, such as name, gender, phone number, and so on, are categorical data examples. Numbers (e.g., in the form of statistical findings) are also used in combina- tion with qualitative data in mixed method studies. - The exp. Is it possible to have a negative value on a measure of association for categorical variables? A 59 Plasma 300 Is birth year quantitative or qualitative? A designed experiment allows the researcher to claim causation between an explanatory variable and a response variable. Nation of origin Undergraduates who attend a college Quantitative research is at risk for research biases including information bias, omitted variable bias, sampling bias, or selection bias. Does a barbarian benefit from the fast movement ability while wearing medium armor? A. For the variable described below, indicate whether it is a quantitative or a categorical (qualitative) variable. Quantitative " Number of medals won by U.S. in a given year. " You conduct in-depth interviews with 15 students and ask them open-ended questions such as: How satisfied are you with your studies?, What is the most positive aspect of your study program? and What can be done to improve the study program?. Does that make area code a quantitative variable? A. The variable is discrete because it is countable. The other is not. a number on a football players jersey. @whuber, no but .5 +.6 = 1.1 makes sense. Numerical variables include the number of siblings and student height. Phone numbers, student numbers, and so on are some of the numeric nominal variables that can be classified as numeric or not. c. Age. Briefly discuss the two factors that can cause a statistical outlier to be influential in regression analyses. Better players have larger numbers. A confounding variable is a response variable that was not considered in a study whose effect cannot be distinguished from a second explanatory variable in the study. Both are important for gaining different kinds of knowledge. Don't be fooled by the numbers! b. A(n) _________ is a person or object that is a member of the population being studied. Is age categorical or quantitative or both? (In)ability to control for curriculum in studies of student writing achievement complicates interpretation of features measured in . When collecting and analyzing data, quantitative research deals with numbers and statistics, while qualitative researchdeals with words and meanings. feelings and emotions; texture; flavor; color (unless it can be written as a specific wavelength of light) expressions of more/less, ugly/beautiful, fat/thin, healthy/sickly; Examples of Quantitative Data. We know that the qualitative data generally describes the qualities or the characteristics. Numerical data is also known as numerical data. It's just a label as. Name, rank, team members jersey number, cell phone number, and license number are just a few examples. Their values are not the result of measuring or counting. I may be wrong, but still. Quantitative and qualitative data can be collected using various methods. The study is an observational study because the researchers control one variable to determine the effect on the response variable. Perform an analysis with and without the explanatory variabl. 2022 - 2023 Times Mojo - All Rights Reserved Calculating probabilities from d6 dice pool (Degenesis rules for botches and triggers). Explain. Is there caffeine in all of the, Spray nonstick spray on a perforated pizza pan before placing the dough on it to make homemade pizza. TimesMojo is a social question-and-answer website where you can get all the answers to your questions. Updated on February 27, 2018 In statistics, quantitative data is numerical and acquired through counting or measuring and contrasted with qualitative data sets, which describe attributes of objects but do not contain numbers. Number of siblings 00:11 Classify the variable as qualitative or quantitative. Also identify the observational unit for the variable: Whether or not a person has a tattoo. What is the phone number to sell Walmart stock? Walled In Meaning, Apart from these, quantitative and qualitative variables hold data as nominal, ordinal, interval and ratio. D. C. Confounding in a study occurs when the effects of two or more explanatory variables are not separated. Therefore, any relation that may exist between an explanatory variable and the response variable may be due to some other variable or variables not accounted for in the study. C. Scribbr. The qualitative method allows for creativity, varied interpretations and flexibility. What is the difference between statistical significance and practical significance? While qualitative and quantitative approaches are different, they are not necessarily opposites, and they are certainly not mutually exclusive. Through open-ended questions you learn things you never thought about before and gain new insights. Some of thee numeric nominal variables are; phone numbers, student numbers, etc. It is used in many different contexts by academics, governments, businesses, and other organizations. What are the variables and their corresponding data being studied? Number of explanatory variables. A lurking variable is a response variable that was not considered in a study, but is also affected by the casual relationship of the explanatory variables in the study. B) Data that can only be classified into categories is referred to as nominal level of measurement C) The number of robberies reported in a city is an example of discrete data. B. Qualitative or Quantitative: Census What level of measurement is this category? Explain. Confounding in a study occurs when the effects of the explanatory variable are caused, in some part, by the effects of the response variable. Nov 18 2022 08:12 AM 1 Approved Answer Subhrata R answered on November 20, 2022 5 Ratings ( 12 Votes) Football players number is not quantitative rather it is qualitative because it is just the information. Number of peanuts in a can of Planter s Mixed N. Explain the difference between an outlier and an influential point. Demetrius And Lysander, Bank account balance (e.g. B. How do I change my phone number on Boost Mobile iPhone? 2. A baseball player wants to determine if the type of bat he uses each year can be used to predict the amount of improvement in his game. The bottom line is that one can make algebraic sense of numerical variables and that one can't make algebraic sense of categorical variables. It Is attribute information that can identify something about the position played by a player. Determine whether the underlined value is a parameter or a statistic. A(n) ___________ is a numerical summary of a sample. What measurement scale is appropriate for this variable? Height is a constant numerical variable because it fluctuates continuously. Determine whether the data are qualitative or quantitative. List of popular video games 5. How can I explain to my manager that a project he wishes to undertake cannot be performed by the team? Quantitative, continuous b) Number of times person checks their e-mail . It is a categorical variable. Qualitative or quantitative data by itself cant prove or demonstrate anything, but has to be analyzed to show its meaning in relation to the research questions. Is the amount of rain last year in a city a quantitative or qualitative variable? The variable is continuous because it is countable. Individual items or values are counted. In a year, how many weeks do you have? What is a confounding variable? Hair color, blood type, ethnic group, the car a person drives, and the street a person lives on are examples of qualitative data. D. The variable is qualitative because it is an attribute characteristic. A study is conducted to determine if there is a relationship between heart arrhythmias and caffeine consumption. Is a PhD visitor considered as a visiting scholar? The study is an experiment because the study examines individuals in a sample, but does not try to influence the variable of interest. In addition, lurking variables are typically equal to zero, or almost equal to zero. Jersey City, NJ. What is Dependent variable s Level of measurement (nominal, ordinal, interval, or ratio)? Primary Responsibilities: Utilize your analytical and quantitative skills, market knowledge and intuition to develop and implement automated statistical trading . All rights reserved. Descriptive and Inferential Descriptive Statistics - consists of the collection, organization, summarization and presentation of data. C. Explain what is a lurking variable. d. Coefficient of determination. If there is any ambiguity, explain why the answer is unclear. a 1. A designed experiment is a list of all individuals in a population along with certain characteristics of each individual. Identify the explanatory variable and the response variable A golfer wants to determine if the amount of practice every year can be used to predict the amount of improvement in his game. Explain how p-values that are 0.05, 0.049, and 0.051 might be different when interpreting statistical results. The numbers on the shirts of a girl's soccer team A. qualitative B. quantitative; The random variables yield categorical responses so that the responses fit into one category or another. . For the data given: What is the correlation coefficient and interpret its meaning? A nominal variable is qualitative, which means numbers are used here only to categorize or identify objects. A. C 58 Projection 423 Quantitative data can be expressed as numbers. D. Quantitative data refers to data values as numbers. D. B. Is a football jersey number a quantitative or a categorical variable? The variable is discrete because it is not countable. D. Numbers such as a national identification number, a phone number, and so on are considered qualitative data because they are categorical and specific to one individual. Football jersey number are an example of qualitative data . C. Key terms: testing, measurement, objectivity, Key terms: understanding, context, complexity, subjectivity, The number of times a particular answer was given. Honey Balsamic Bbq Sauce, Number on an athlete's jersey The variable is qualitative because it is an attribute characteristic. and on the number of conjugated double bonds . Common quantitative methods includeexperiments, observations recorded as numbers, and surveys with closed-ended questions. The 2992 undergraduates who attend a college and have taken a course in conversational English. A. A colleague and I had a conversation about whether the following variables are categorical or quantitative. Is ranking nominal or ordinal? Qualitative data can be referred to as names or labels. D. Did any DOS compatibility layers exist for any UNIX-like systems before DOS started to become outmoded? @aginensky, I think both yours and daOnlyBG's answer is acceptable, and probably has similar points. A. 2016 @ Bratislavsk realitn kancelria. parameter. What is the formula for calculating the F ratio in a one-way ANOVA? To learn more, see our tips on writing great answers. C. Support your answer with a detailed explanation. It is a quantitative variable. D. The 90 bottles of bleach selected in the plant on May 27. In a famous commentary on Stevens, Frederic M. Lord (1953) gives an example in which a statistical analysis treats football jersey numbers very effectively as being quantitative (even though these are archetypically categorical). What is the difference between qualitative data and quantitative data? Determine whether the study depicts an observational study or an experiment. b. Examples: name, rank, jersey number of a team member, cell phone number, license number. Classify the . In this post, we'll define both quantitative and qualitative data in more detail. The variable is quantitative because it is a numerical measure. b. Does the description correspond to an observational study or an experiment? Is birth year quantitative or qualitative? The number of siblings and student height represent numerical variables. The variable is continuous because it is not countable. Is marital status qualitative or quantitative? D. The variable is discrete because it is countable. What is the relationship between measurements and statistics? The context for data collection was an instructional programme . Determine whether the variable is qualitative or quantitative. Applications such as Excel, SPSS, or R can be used to calculate things like: Qualitative data is more difficult to analyze than quantitative data. statistic a Blank is a numerical summary of a population. Why are scatterplots helpful when investigating the association between quantitative variables? You survey 300 students at your university and ask them questions such as: on a scale from 1-5, how satisfied are your with your professors?. The 90 bottles of bleach selected in the plant on May 27. Qualitative data is descriptive in nature, expressed in terms of language rather than numerical values. A. Interval The definition of a categorical variable (at least here A. Nominal B. Ordinal C. Quantitative. Ratio The qualitative risk assessment also evaluated the potential risk the unnatural sediment may pose to indigenous flora and fauna inhabiting the South Ditch. An example of this would be a jersey number or student ID number. a. quantitative b. discrete c. continuous d. qualitative Quantitative data is based on numbers. Explain in detail the predictor variable or explanatory variable. Expenditures for the cable industry were $5.66 billion in 1996. So year is a discretized measure of a continuous interval variable, so quantitative. The hair colors of players on a football team, the color of cars in a parking lot, the letter grades of students in a classroom, the types of coins in a jar, and the shape of candies in a variety pack are all examples of qualitative data so long as a particular number is not assigned to any of these descriptions. Some variables, such as social security numbers and zip codes, take numerical values, but are not quantitative: They are qualitative or categorical variables. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Explain. 0.80% b. Although people like to think of categorical as groups of like things that are NOT numbers, occasionally they may include numbers ie., football jersey numbersthese are categorical since they describe position played rather than a numerical notion. A confounding variable is an explanatory variable that was considered in a study whose effect cannot be distinguished from a second explanatory variable in the study. Height. 1. A lurking variable is a quantitative variable that has either a finite number of possible values or a countable number of possible values. Data at the ordinal level can be qualitative or quantitative. D. Which type you choose depends on, among other things, whether youre taking an inductive vs. deductive research approach; your research question(s); whether youre doing experimental, correlational, or descriptive research; and practical considerations such as time, money, availability of data, and access to respondents. [{Blan. For example, blood group and gender are forms of categorical data. If you want data specific to your purposes with control over how it is generated, collect primary data. Confounding in a study occurs when there is little or no actual relationship between the explanatory and response variable other than random chance. - Definition & Examples. The value is a statistic because the 6,076 adults in public rest rooms are a sample. Whereas quantitative data is important in determining the particular frequency of traits or characteristics, the sizes, and dimensions of objects, and that sort of information about a given topic, qualitative data like the color of hair or skin of employees in a company or the healthiness of a pet's coat can . $100, $987, $-42. What exactly does the data represent? Indeed, your immediate two comments seem contradictory: yes, $0.5+0.6=1.1$ makes, stats.stackexchange.com/questions/67551/, We've added a "Necessary cookies only" option to the cookie consent popup, Correlation between quantitative and qualitative variables, Regression with Quantitative and Qualitative independent variables. Using simple terms, as much as possible, it briefly traces the epistemological roots of the qualitative and quantitative data to subjectivism and positivism respectively. We agreed that all three are in fact categorical, but couldn't agree on a good reason. A. D. Hence, the addition here makes no sense. Numbers are always quantitative. Interval Numerical data is also known as numerical data. Explain the reasoning? The variable is continuous because it is not countable. A. First name. But we're going to think, is that really quantitative data? However, it seems a somewhat weak case can also be made that the variables are discrete valued random variables. What are the individuals being studied? Determine whether the variable is qualitative or quantitative. The study is an observational study because the researchers control one variable to determine the effect on the response variable. On the basis of a qualitative property, the values belong to some sort of category. The variable is discrete because it is countable. Size (59, 41, 58, 55, 51) and number of channels available (300, 119, 423, 270, 290) What is the meaning of the term statistical inference? Quantitative data refers to data values as numbers. The variable is continuous because it is countable. Is blood type qualitative or quantitative? If you 'add' two of the variables is that another 'value' of the variable. Ti. B. Similar to its name, numerical, it can only be collected in number form. B. How do you know? Quantitative or Qualitative? Qualitative data are the result of categorizing or describing attributes of a population. C. A confounding variable is an explanatory variable that was considered in a study whose effect cannot be distinguished from a second explanatory variable in the study. D. Quantitative variables can be divided into two categories: discrete and continuous. Interval What measurement scale is appropriate for this variable? Number on an athlete's jersey The variable is discrete because it is not countable. The study is an experiment because the researchers control one variable to determine the effect on the response variable. Last updated on 29th June 2022. Also identify the observational unit for the variable: Whether or not a participant in a sport suffers an injury in a given year. Victoria America's Next Top Model Eating Disorder. (2023, January 03). E 51 Plasma 290 Explain. Undergraduates who attend college Quantitative and qualitative research use different research methods to collect and analyze data, and they allow you to answer different kinds of research questions. Ordinal What is the population in the study? Raimo Streefkerk. D. a. " Variable: Political affiliation (rep, dem, ind) class cy n e u q re F 1 2 3 4 0 10 20 30 40 All bottles of bleach produced in the plant on May 27. Qualitative vs. Quantitative Research | Differences, Examples & Methods. Explain your reasoning. Some common approaches include textual analysis, thematic analysis, and discourse analysis. What type of data (categorical, discrete numerical, or continuous numerical) is each of the following variables? A player with jersey number 12 is not the sum of two players whose jersey numbers add up to 12 (say jersey . (c) The number. What is a lurking variable? Marketing Deliverables Template, Number on an athlete's jersey Is the variable qualitative or quantitative? Although they are less prominent in qualitative research, numbers are critical to qualitative data, and good qualitative research requires a strong understanding of numbers. Examples of qualitative characteristics are gender, race, genotype and vital status. Better players have larger numbers. This is qualitative. Qualitative e. The numbers on the jerseys of 53 football players on a team. For example, suppose that a particular study is interested in characteristics such as age, gender, marital status, and annual income for a. Whispering Grass'' Sheet Music, C. The variable is qualitative because it is an attribute characteristic. According to this test, then, percentages of a whole cannot be "numerical" because (say) 50% + 60% = 110% is not possible. Q1-Q3 are correct. C. What is the difference between a statistic and a parameter? Published on What measurement scale is appropriate for this variable? What is the relationship between levels of confidence and statistical significance? A factor that is used to try to explain or predict a dependent variable is referred to as what in statistics and research? Quantitative data consist of values representing counts or measurements " Variable: Year in school Qualitative(or non-numeric) dataconsist of values that can be placed into nonnumeric categories. Nominal, Determine the level of measurement of the variable below. A designed experiment allows the researcher to claim causation between an explanatory variable and a response variable, B. Why is statistical significance not necessarily of practical important difference to a business decision?
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