stats
Order by
57 terms
Terms | Definitions |
|---|---|
 data mining | Methods for developing useful decision-making information from large data bases is known as |
| data warehousing | The process of capturing, storing, and maintaining data is known as |
| methods for developing useful decision-making information from large data bases | The subject of data mining deals with |
| observations | The set of measurements collected for a particular element is (are) called |
| variable | characteristic of interest for the elements is called a(n) |
| data set | All the data collected in a particular study are referred to as the |
| cases | Another name for "observations" is |
| always numeric | Quantitative data |
| qualitative variable | In a questionnaire, respondents are asked to mark their gender as male or female. Gender is an example of a |
| elements | The number of cases will always be the same as the number of |
| may be either numeric or nonnumeric | Qualitative data |
| are labels used to identify attributes of elements | Qualitative data |
| only with quantitative data | Ordinary arithmetic operations are meaningful |
| qualitative variable | Social security numbers consist of numeric values. Therefore, social security is an example of |
| quantitative variable | Temperature is an example of |
| Qualitative | For ease of data entry into a university database, 1 denotes that the student is an undergraduate and 2 indicates that the student is a graduate student. In this case data are |
| qualitative | Arithmetic operations are inappropriate for |
| quanitive | Income is an example of |
| crossectional data | Data collected at the same, or approximately the same, point in time are |
| time series data | Data collected over several time periods are |
| observational studies | Statistical studies in which researchers do not control variables of interest are |
| experimental studies | Statistical studies in which researchers control variables of interest are |
| b. descriptive statistics | The summaries of data, which may be tabular, graphical, or numerical, are referred to as |
| is the process of drawing inferences about the population based on the information taken from the sample | Statistical inference |
| the population | The collection of all elements of interest in a particular study is |
| a sample | A portion of the population selected to represent the population is called |
| descriptive statistics | In a sample of 800 students in a university, 240, or 30%, are Business majors. The 30% is an example of |
| statistical inference | In a sample of 400 students in a university, 80, or 20%, are Business majors. Based on the above information, the school's paper reported that "20% of all the students at the university are Business majors." This report is an example of |
| sample | Five hundred residents of a city are polled to obtain information on voting intentions in an upcoming city election. The five hundred residents in this study is an example of a(n) |
| statistical inference | A statistics professor asked students in a class their ages. On the basis of this information, the professor states that the average age of all the students in the university is 24 years. This is an example |
| descriptive statistics | The owner of a factory regularly requests a graphical summary of all employees' salaries. The graphical summary of salaries is an example of |
| descriptive statistics | The Department of Transportation of a city has noted that on the average there are 17 accidents per day. The average number of accidents is an example of |
| statistical inference | The process of analyzing sample data in order to draw conclusions about the characteristics of a population is called |
| qualitative data | In a post office, the mailboxes are numbered from 1 to 4,500. These numbers represent |
| could be larger, smaller, or equal to 22 | The average age in a sample of 190 students at City College is 22. As a result of this sample, it can be concluded that the average age of all the students at City College |
| can be larger, smaller, or equal to the mean of the population | Since a sample is a subset of the population, the sample mean |
| observation | In a data set, the number of elements will always be the same as the number of |
| quantitative data | The weight of a candy bar in ounces is an example of |
| quantitative data | The height of a building, measured in feet, is an example of |
| a data acquisition error | An interviewer has made an error in recording the data. This type of error is known as |
| a survey to collect data on the entire population | Census refers to |
| is controlled | In experimental studies, the variable of interest |
| is not controlled | In observational studies, the variable of interest |
| 4 | How many scales of measurement exist? |
| interval and ratio | Which of the following can be classified as quantitative data? |
| is always smaller than the population size | The sample size |
| the collection of all items of interest in a particular study | A population is |
| 2.5% | In a random sample of 200 items, 5 items were defective. An estimate of the percentage of defective items in the population is |
| qualitative data | On a street, the houses are numbered from 300 to 450. The house numbers are examples of |
| census | A survey to collect data on the entire population is |
| a value worksheet | In Excel, a worksheet that displays the data for the problem and shows the results of the analysis is |
| formula worksheet | In Excel, a worksheet that displays the formulas used to create the results is a |
| statistical inference | Refer to Exhibit 1-1. The city manager released a statement that 40% of Daisy City's 2,000 homes are in violation of city codes. The manager's statement is an example of |
| sample | Refer to Exhibit 1-1. The Daisy City study described above is an example of the use of a |
| only an approximation, since it is based upon sample information | Refer to Exhibit 1-1. The manager's statement that 40% of Daisy City's 2,000 homes are in violation of city codes is |
| descriptive statistics | sample of 1,600 registered voters, 912, or 57%, approve of the way the President is doing his job. 74. Refer to Exhibit 1-2. The 57% approval is an example of |
| statistical inference | Refer to Exhibit 1-2. A political pollster states: "Fifty-seven percent of all voters approve of the President." This statement is an example of |
First Time Here?
Welcome to Quizlet, a fun, free place to study. Try these flashcards, find others to study, or make your own.