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QUARTER 1 PRETEST IN GENERAL PHYSICS 1

Quiz by Ysabel Angela Embile

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48 questions
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  • Q1
    What is the result of converting 0.0032 meters to millimeters?
    3.2
    32
    3200
    0.032
    30s
  • Q2
    Which of the following is an example of a measurement expressed in scientific notation?
    560
    5.6 x 10^3
    5600
    0.0056
    30s
  • Q3
    A car is traveling at a speed of 80 kilometers per hour. What is this speed in meters per second?
    800
    0.08
    22.22
    8.0
    30s
  • Q4
    The speed of light in a vacuum is approximately 299,792,458 meters per second. What is this speed in scientific notation?
    2.99792458
    299.792458
    2.99792458 x 10^8
    29,979,245.8
    30s
  • Q5
    What is the difference between accuracy and precision?
    Accuracy refers to how close a measured value is to other measured values, while precision refers to how close a measured value is to the true value.
    Accuracy refers to how close a measured value is to the true value, while precision refers to how close a measured value is to the average value.
    Accuracy refers to how close a measured value is to the true value, while precision refers to how close a measured value is to other measured values.
    Accuracy refers to how close a measured value is to the average value, while precision refers to how close a measured value is to other measured values.
    30s
  • Q6
    Which of the following best describes random errors?
    Random errors occur consistently in the same direction.
    Random errors are caused by consistent factors and always have the same value.
    Random errors are caused by unpredictable fluctuations and have equal chances to be positive or negative.
    Random errors are caused by measurement equipment and can be eliminated with calibration.
    Random errors are caused by incorrect measurement technique.
    30s
  • Q7
    How can systematic errors be characterized?
    Systematic errors are caused by unpredictable fluctuations.
    Systematic errors produce consistent deviations from the true value in different directions.
    Systematic errors have no impact on measurements.
    Systematic errors occur randomly and have equal chances to be positive or negative.
    Systematic errors produce consistent deviations from the true value in the same direction.
    30s
  • Q8
    Which type of error can be reduced by taking repeated measurements?
    Systematic errors can be reduced by taking repeated measurements.
    Both random and systematic errors can be reduced by taking repeated measurements.
    Random errors can be reduced by taking repeated measurements.
    Neither random nor systematic errors can be reduced by taking repeated measurements.
    Random errors cannot be reduced by taking repeated measurements.
    30s
  • Q9
    What is the primary way to minimize systematic errors in measurements?
    The primary way to minimize systematic errors is by averaging multiple measurements.
    The primary way to minimize systematic errors is by using different measurement techniques.
    The primary way to minimize systematic errors is by calibrating measurement equipment regularly.
    The primary way to minimize systematic errors is by increasing the number of measurements taken.
    The primary way to minimize systematic errors is by ignoring them.
    30s
  • Q10
    Which of the following options correctly describes how variance can be used to estimate errors from multiple measurements of a physical quantity?
    Variance measures the average of all data points in a set.
    Variance measures the maximum deviation of data points from the mean.
    Variance measures the minimum deviation of data points from the mean.
    Variance measures the absolute difference between the mean and the largest data point.
    Variance measures the spread of data points around the mean, providing an estimation of the average deviation from the true value.
    30s
  • Q11
    When estimating errors from multiple measurements of a physical quantity, which of the following statements accurately describes the relationship between the variance and the precision of the measurements?
    Larger variance indicates higher precision of the measurements.
    Larger variance indicates lower precision of the measurements.
    Smaller variance indicates higher precision of the measurements.
    Smaller variance indicates lower precision of the measurements.
    Variance has no relationship with the precision of the measurements.
    30s
  • Q12
    Which of the following statements accurately describes the purpose of using variance to estimate errors from multiple measurements of a physical quantity?
    Variance calculates the average of all measurements to determine the true value.
    Variance helps quantify the degree of uncertainty or variability in the measurements.
    Variance identifies the exact cause of errors in the measurements.
    Variance determines the maximum possible deviation from the true value.
    Variance provides an exact measure of the errors in the measurements.
    30s
  • Q13
    Which of the following statements accurately describes the relationship between the number of measurements and the precision of the estimated error using variance?
    Increasing the number of measurements generally leads to a more precise estimation of the error using variance.
    The precision of the estimated error using variance depends on factors other than the number of measurements.
    Increasing the number of measurements always leads to a less precise estimation of the error using variance.
    Increasing the number of measurements has no effect on the precision of the estimated error using variance.
    Decreasing the number of measurements leads to a more precise estimation of the error using variance.
    30s
  • Q14
    Suppose you have conducted three measurements of a physical quantity: 4.5 m, 4.6 m, and 4.4 m. What is the variance of these measurements?
    0.005 m²
    0.02 m
    0.02 m²
    0.01 m²
    0.005 m
    30s
  • Q15
    Which of the following formulas is used to calculate the variance of a set of measurements?
    Variance = (Σ(x - μ)²) / n
    Variance = (Σx) / n
    Variance = max(x) - min(x)
    Variance = Σ(x + μ) / n
    Variance = Σ(x - μ) / n
    30s

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