Statistics

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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 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 purpose of statistics?

    Q: What is the purpose of statistics?

    A: The purpose of statistics is to allow sets of data to be compared so that analysts can look for meaningful trends and changes. Analysts review the data so that they can reach conclusions regarding its meaning. Statistics allow people to see how things are or are not correlated and how a change in one variable might affect another.
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  • What are different types of probability?

    Q: What are different types of probability?

    A: Different types of probability include conditional probability, Markov chains probability and standard probability. Standard probability is equal to the number of wanted outcomes divided by the number of possible outcomes.
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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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  • 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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  • What is the importance of statistics in people's daily lives?

    Q: What is the importance of statistics in people's daily lives?

    A: People use statistics daily for weather forecasts, predicting disease, preparing for emergencies, medical research, political campaigns, tracking sales, genetics, insurance, the stock market and quality testing. Statistics lends credibility to these industries and makes it easier to track different things in the industry.
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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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  • What is the outlier in a math problem?

    Q: What is the outlier in a math problem?

    A: In math, outliers are observations or data points that lie an abnormal distance away from all of the other values in a sample. Outliers are usually disregarded in statistics because they can skew calculations and cause the final statistical analyses to be invalid.
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  • What does frequency mean in mathematics?

    Q: What does frequency mean in mathematics?

    A: In math, the frequency is the number of times a specific value appears in a data set or list. To find the frequency of these values, one constructs a frequency table and inputs all the different values from the set.
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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 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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  • 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 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 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 is a criterion variable?

    Q: What is a criterion variable?

    A: According to the University of Connecticut, the criterion variable is the dependent variable, or Y hat, in a regression analysis. The criterion variable is the variable that the analysis predicts. The number given from the analysis fits into the regression line.
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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 does "marginal probability" mean?

    Q: What does "marginal probability" mean?

    A: Probabilities may be marginal, joint or conditional. A marginal probability is the probability of a single event happening. It is not conditional on any other event occurring.
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  • What is the importance of statistics in economics?

    Q: What is the importance of statistics in economics?

    A: Statistics are a methodology necessary in the field of statistics and are used to collect, analyze and evaluate data. Economics depends heavily on the use of statistics.
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  • What is a coin toss simulation?

    Q: What is a coin toss simulation?

    A: A coin toss simulation uses software to mimic the act of tossing a coin many times to demonstrate how frequency affects probability. With two possible outcomes (heads or tails), most observers assume even odds, or 50 percent, but tossing a coin only a few times may show uneven outcomes. By increasing the frequency of tosses, the result gets close to 50 percent, demonstrating how frequency affects outcomes.
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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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  • How many babies are born each year?

    Q: How many babies are born each year?

    A: According to UNICEF article updated in May 2012, about 130 million babies are born each year. CNN notes that an accurate count of the worldwide birth rate is difficult since many countries don't register all new births.
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