Statistics

A:

To calculate the number of jellybeans in a jar, count the number of jellybeans on the top layer of the jar. Then, count the number of jellybeans going down the side of the jar, and multiply that number by the number of jellybeans in the top layer to get an estimate of the number of jellybeans in the jar.

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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 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 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 the importance of statistics in business?

    Q: What is the importance of statistics in business?

    A: Statistics are an important tool for running a business. Managers are required to make decisions based on data collected over time. This data is worthless unless it is analyzed and interpreted; statistics allows business managers to analyze the data and arrive at meaningful conclusions.
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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 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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  • How do you calculate jelly beans in a jar?

    Q: How do you calculate jelly beans in a jar?

    A: To calculate the number of jellybeans in a jar, count the number of jellybeans on the top layer of the jar. Then, count the number of jellybeans going down the side of the jar, and multiply that number by the number of jellybeans in the top layer to get an estimate of the number of jellybeans in the jar.
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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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  • 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 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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  • 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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  • 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 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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  • 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 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 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 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 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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  • How do you average your grades?

    Q: How do you average your grades?

    A: To calculate an average grade, first add up all the individual grades, then divide by the total number of grades. Letter grades or percentage grades can be converted to the 4.0 scale to find the grade point average, or GPA.
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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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