Statistics

A:

The median is the middle number when a set of numbers is arranged in order from smallest to largest, and the mean is the average of a set of numbers. Both these measurements are useful in performing statistical analyses of a number grouping and making projections about future results.

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  • What are some real-world examples of direct variations?

    Q: What are some real-world examples of direct variations?

    A: Direct variation exists when a worker is paid based on the number of hours worked. Another example of a direct variation is a taxi fare that varies according to the distance traveled. Direct variation occurs with two variables when the ratio of their values always remains the same. For example, if the value of A is always twice as much as B, they vary directly.
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  • How many cubic feet are in a 53-foot trailer?

    Q: How many cubic feet are in a 53-foot trailer?

    A: A typical 53-foot trailer that is 9 feet high and 8 feet wide contains 3,816 cubic feet of space. However, because of the irregular shape of many items being shipped, a trailer is often not filled completely. Air pockets are located in various locations throughout the trailer.
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  • How big is a cereal box?

    Q: How big is a cereal box?

    A: Cereal box size depends on the cereal brand and the volume size. For example, a box that is 12 inches long, 7 5/8 inches wide and 2 1/2 inches deep is required to hold 12.8 ounces of Multi Grain Cheerios.
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  • What is biostatistics?

    Q: What is biostatistics?

    A: Biostatistics is a specialized area that applies statistical analysis to fields like biology, agriculture and medicine. Biostatisticians play a large role in scientific research studies, including designing study models and analyzing study results. Medical biostatistics narrows this field further to focus solely on medical and health issues.
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  • How do you measure effectiveness and efficiency?

    Q: How do you measure effectiveness and efficiency?

    A: Effectiveness and efficiency are measured by how rapidly change is expressed in organizational systems and how great the difference is over time. This allows companies to compare workforce performance before and after a change is made. Effectiveness and efficiency look at return on investment, employee engagement, client satisfaction and positive gains versus negative side effects of an endeavor.
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  • What are the disadvantages of simple random sampling?

    Q: What are the disadvantages of simple random sampling?

    A: Although simple random samplings are a common research method, they are expensive to use, extremely time consuming and difficult to organize. A simple random sampling requires a complete list of all members of the target population so that the sample is a real representation of the larger group. Each individual in the population has the same chance of becoming part of the sample. All possible combinations of the sample are equally likely to occur, as well.
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  • What is the definition of "presentation of data"?

    Q: What is the definition of "presentation of data"?

    A: The presentation of data refers to how mathematicians and scientists summarize and present data related to scientific studies and research. In order to present their points, they use various techniques and tools to condense and summarize their findings. These tools include the use of tables, graphs and subsets to provide an overview of their calculations and the data they have mined.
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  • Why is sampling important?

    Q: Why is sampling important?

    A: Sampling, in statistics, is a method of answering questions that deal with large numbers of individuals by selecting a smaller subset of the population for study. One of the most prevalent types of sampling is random sampling.
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  • What are the divorce rates for second and third marriages?

    Q: What are the divorce rates for second and third marriages?

    A: In the United States, the divorce rate for second marriages is estimated at between 60 and 67 percent. Third marriages fare considerably worse, with the divorce rate estimated between 73 and 74 percent.
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  • What is the importance of statistics?

    Q: What is the importance of statistics?

    A: Statistics is the study of numerical information, which is called data. People use statistics as tools to understand information. Learning to understand statistics helps a person react intelligently to statistical claims. Statistics are used in the fields of business, math, economics, accounting, banking, government, astronomy, and the natural and social sciences.
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  • What is the difference between the dependent variable, the independent variable and the controlled variable?

    Q: What is the difference between the dependent variable, the independent variable and the controlled variable?

    A: The difference between the independent, dependent and control variables rests with the way each variable impacts research. The dependent variable is the item under observation, the independent variable receives manipulation by a researcher and the control variable is an aspect that affects the dependent variable if the researcher does not hold it constant, explains Nuffield Foundation. These variables form the basis of an experiment or observation.
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  • Who is the father of statistics?

    Q: Who is the father of statistics?

    A: Sir Ronald Aylmer Fisher, a British statistician, is considered by many to be the father of the modern science of statistics. The Danish statistician Anders Hald recognized him as a genius who built the foundations for modern statistical science, according to Wikipedia.
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  • What is the difference between a parameter and a statistic?

    Q: What is the difference between a parameter and a statistic?

    A: A statistic describes a sample, while a parameter describes an entire population. A sample is a smaller subset that is representative of a larger population.
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  • Why are statistics important?

    Q: Why are statistics important?

    A: Experts use statistics to understand large and complex sets of data. Statistics are also helpful with surveys, which legislators use to affect policy. Knowing how statistics work is important for fully understanding news reports.
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  • What does "average" mean in mathematics?

    Q: What does "average" mean in mathematics?

    A: In mathematics, the “average” typically refers to the “mean value” of a set of numbers that is found by adding all the numbers in the set and then dividing this answer by how many numbers were in the set. However, there also are other types of averages in mathematics, such as the weighted average, mode and median.
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  • What is the role of statistics in research?

    Q: What is the role of statistics in research?

    A: Statistics play an important role in research of almost any kind because they deal with easily-quantified data. When working in fields such as science or medicine, trials are needed, and experimental data has to be collected and analyzed. The study of statistics enables researchers to look at a large set of data and condense it into meaningful information.
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  • What are the odds of getting hit by a car?

    Q: What are the odds of getting hit by a car?

    A: Based on information provided by the Centers for Disease Control, the odds of being struck by a car in the United States is about one in 4,292. The odds of dying as the result of being struck by a car are about one in 47,273.
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  • What is median vs. mean?

    Q: What is median vs. mean?

    A: The median is the middle number when a set of numbers is arranged in order from smallest to largest, and the mean is the average of a set of numbers. Both these measurements are useful in performing statistical analyses of a number grouping and making projections about future results.
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  • What is a good statistical sample size?

    Q: What is a good statistical sample size?

    A: A good statistical sample size is at least 100, and preferably more, participants. With a 100-participant sample size, the researcher has a margin of error of approximately 10 percent with a 95 percent confidence rating in the results. For the researcher to increase his confidence rating and reduce his margin of error he has to increase the size of the sample.
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  • How are statistics used in accounting?

    Q: How are statistics used in accounting?

    A: Accountants in various fields, including auditors, forensic accountants, controllers and risk accountants, use statistics to accomplish their professional duties. Accountants who conduct audits use samples that are statistically representative of a data base because it is almost impossible to collect all the data needed in a short period of time. Auditors typically use this method when conducting a reliability assessment to determine the accuracy of the data being audited.
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  • What is qualitative data?

    Q: What is qualitative data?

    A: Qualitative data is data that can be observed but cannot be measured. This type of data is often in contrast to quantitative data, which is data that can be measured.
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