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Question

The weights, in pounds, for 15 horses in a stable were reported, and the mean, median, range, and standard deviation for the data were found. The horse with the lowest reported weight was found to actually weigh 10 pounds less than its reported weight. What value remains unchanged if the four values are reported using the corrected weight?

  1. Mean
  2. Median
  3. Range
  4. Standard deviation

The correct answer is: Median


    ○        The concept used in the question id of mean, median, and standard deviation.
    ○        Mean: Mean is the average value of the given data.
    ○        Median: Median is the middlemost value of the given data set when data is arranged either in ascending or descending order.
    ○        Range: Range is thedifference between the highest and lowest observations in a given data.
    ○        Standard Deviation: Standard Deviation is a measure that shows how much variation from the mean exists.
    • Step-by-step explanation:
    ○        Given: 
    The horse with the lowest reported weight was found to actually weigh 10 pounds less than its reported weight.
    ○        Step 1:
    As there is change in the weight of horse.
    mean will change.
    As, mean =fraction numerator text  sum of weights of horses  end text over denominator text  No.of horese  end text end fraction
    So, if weight changes mean will change

    Range will change
    As, Range = Maximum value – Minimum value
    So, if minimum value change Range will change.

    Standard deviation change because mean will change.
    Range = Maximum value – Minimum value

    Median will remain unchanged.
    As, median is central of data and it will not affected by change in lowest value.

    ∴ median will not change.
    • Final Answer:
    Correct option.
    Option B. median.

    The standard deviation is the degree of scatter or dispersion of the data points to their mean in descriptive statistics.
    It provides information on the distribution of values within the data sample and verifies how widely apart the data points are from the mean.
    A square root of the variance of a sample, statistical population, random variable, data collection, or probability distribution represents its standard deviation.
    How to Calculate Standard Deviation
    1.) Discover the observations' mean and arithmetic mean.
    2.) Find the squared deviations from the mean. (The data value - mean) 2
    3.) Calculate the squared difference average. (Variance = The total squared differences divided by the total number of observations)
    4.) Determine the variance's square root. (Standard deviation = Square root of variance)

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