Statistics

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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 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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  • 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 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 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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  • 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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  • 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 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 Is the Importance of Statistics in Business?

    Q: What Is the Importance of Statistics in Business?

    A: There's an old saying in business: If you can measure it, you can manage it. What's measurable is almost always presented in the form of statistics.
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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 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 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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  • 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 Are the Advantages and Disadvantages of Using Statistics?

    Q: What Are the Advantages and Disadvantages of Using Statistics?

    A: Statistics allow people to analyze surveys, experiments and other data, but they are easy to misrepresent or to use to mislead others. Statistical data is essential to the scientific method. It also helps companies, governments and other entities make decisions.
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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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  • 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 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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  • Versatile Math: The Importance of Statistics

    Q: Versatile Math: The Importance of Statistics

    A: Statistics is the collection and study of large amounts of numerical data, specifically for the purpose of determining proportions, averages and other related information within data sets. Statistics are used in a variety of ways.
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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 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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  • 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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