Statistics

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 percentage of our lives are spent working?

    Q: What percentage of our lives are spent working?

    A: About one-third or 30 percent of human life is spent working. The average working week in the United States consists of 40 hours of work. Most people take a few holidays every year. On an average, most people spend about 25 to 30 years working.
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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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  • 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 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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  • What are some examples of continuous variables?

    Q: What are some examples of continuous variables?

    A: Some examples of continuous variables are measuring people's weight within a certain range, measuring the amount of gas put into a gas tank or measuring the height of people. A continuous variable is any variable that can be any value in a certain range.
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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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  • How do you work out probability?

    Q: How do you work out probability?

    A: Theoretically, define the probability of a specific outcome of any event as the ratio of the number of outcomes that favor that specific outcome to the total number of possible outcomes of that event. Mathematically, define the probability of outcome "A" with this equation: P(A) = Number of outcomes that favor A / Number of every possible outcome.
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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 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 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 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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  • 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 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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  • 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 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 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 "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 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 are the advantages of probability sampling?

    Q: What are the advantages of probability sampling?

    A: Probability sampling offers the advantages of less biased results and a higher representation of the sample in question. It also allows for accurate statistical inferences to be made.
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