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ANACHEM m1
23問 • 9ヶ月前
  • velante
  • 通報

    問題一覧

  • 1

    Scientists use ________ data analysis to evaluate the quality of experimental measurements, to test various hypotheses, and to develop models to describe experimental results.

    statistical

  • 2

    All measurements contain ______ _____, so it is never possible to be completely certain of a result

    experimental error

  • 3

    Experimental measurements always contain some _______.

    variability

  • 4

    _________ gives us tools to accept conclusions that have a high probability of being correct and to reject conclusions that do not

    statistics

  • 5

    Gaussian Distribution When we make a measurement, we expect to get the ____ _____.

    true value

  • 6

    Gaussian Distribution When we make a measurement, we expect to get the true value. This is known as the _______ _____ or the population (true) mean μ.

    expected value

  • 7

    If the errors are purely random Then the result tends to cluster ____________ to the average value

    symmetrically

  • 8

    The more times the experiment is repeated, the more closely the results approach an ideal smooth curve called the ________ ________.

    gaussian distribution

  • 9

    The ______ _____, are characterized by two parameters Mean Value and Standard Deviation

    gaussian curve

  • 10

    ____also called the average, is the sum of the measured values divided by n, the number of measurements:

    mean

  • 11

    ________ ______ measures how closely the data are clustered about the mean.

    standard deviation

  • 12

    The smaller the standard deviation, the more ______ the data are clustered about the mean

    closely

  • 13

    An experiment that produces a small standard deviation is more ______ than one that produces a large standard deviation.

    precise

  • 14

    Defining a numerical interval around the mean of a set of replicate results within which the population mean can be expected to lie with a certain probability. This interval is called the _______ _______.

    confidence interval

  • 15

    Statisticians use confidence intervals to measure _______ in an estimate of a population parameter based on a sample.

    uncertainty

  • 16

    Confidence intervals measure the degree of uncertainty or _______ in a sampling method

    certainty

  • 17

    With statistics, however, we can establish an interval surrounding the experimentally determined mean x within which the population mean m is expected to lie with a certain degree of probability. Sometimes the limits of the interval are called _______ _______.

    confidence limits

  • 18

    ________ __ is a statistical tool used most frequently to express confidence intervals and to compare results from different experiments.

    students t

  • 19

    Use __ _______. If the population standard deviation is known or the sample is at least 30

    z distribution

  • 20

    Use _ ______, If the population standard deviation is unknown and the sample is less than 30.

    t distribution

  • 21

    Like the normal distribution, the t-distribution has a _____shape

    smooth

  • 22

    Like the normal distribution, the t-distribution is _______. If you think about folding it in half at the mean, each side will be the same.

    symmetric

  • 23

    In t-distribution, As the sample size _______, the t-distribution becomes more similar to a normal distribution.

    increases

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    問題一覧

  • 1

    Scientists use ________ data analysis to evaluate the quality of experimental measurements, to test various hypotheses, and to develop models to describe experimental results.

    statistical

  • 2

    All measurements contain ______ _____, so it is never possible to be completely certain of a result

    experimental error

  • 3

    Experimental measurements always contain some _______.

    variability

  • 4

    _________ gives us tools to accept conclusions that have a high probability of being correct and to reject conclusions that do not

    statistics

  • 5

    Gaussian Distribution When we make a measurement, we expect to get the ____ _____.

    true value

  • 6

    Gaussian Distribution When we make a measurement, we expect to get the true value. This is known as the _______ _____ or the population (true) mean μ.

    expected value

  • 7

    If the errors are purely random Then the result tends to cluster ____________ to the average value

    symmetrically

  • 8

    The more times the experiment is repeated, the more closely the results approach an ideal smooth curve called the ________ ________.

    gaussian distribution

  • 9

    The ______ _____, are characterized by two parameters Mean Value and Standard Deviation

    gaussian curve

  • 10

    ____also called the average, is the sum of the measured values divided by n, the number of measurements:

    mean

  • 11

    ________ ______ measures how closely the data are clustered about the mean.

    standard deviation

  • 12

    The smaller the standard deviation, the more ______ the data are clustered about the mean

    closely

  • 13

    An experiment that produces a small standard deviation is more ______ than one that produces a large standard deviation.

    precise

  • 14

    Defining a numerical interval around the mean of a set of replicate results within which the population mean can be expected to lie with a certain probability. This interval is called the _______ _______.

    confidence interval

  • 15

    Statisticians use confidence intervals to measure _______ in an estimate of a population parameter based on a sample.

    uncertainty

  • 16

    Confidence intervals measure the degree of uncertainty or _______ in a sampling method

    certainty

  • 17

    With statistics, however, we can establish an interval surrounding the experimentally determined mean x within which the population mean m is expected to lie with a certain degree of probability. Sometimes the limits of the interval are called _______ _______.

    confidence limits

  • 18

    ________ __ is a statistical tool used most frequently to express confidence intervals and to compare results from different experiments.

    students t

  • 19

    Use __ _______. If the population standard deviation is known or the sample is at least 30

    z distribution

  • 20

    Use _ ______, If the population standard deviation is unknown and the sample is less than 30.

    t distribution

  • 21

    Like the normal distribution, the t-distribution has a _____shape

    smooth

  • 22

    Like the normal distribution, the t-distribution is _______. If you think about folding it in half at the mean, each side will be the same.

    symmetric

  • 23

    In t-distribution, As the sample size _______, the t-distribution becomes more similar to a normal distribution.

    increases