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Identify the given numbers and the mean.

Mathematics

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Answer

53\frac{5}{3}

2215≈1.211\sqrt{\frac{22}{15}} \approx 1.211

Step-by-step solution

5 steps

Here's how to solve the problem:

  1. Identify the given numbers and the mean.

    The given numbers are 1,4,k,41, 4, k, 4 and k+1k+1. There are n=5n=5 numbers.
    The mean is given as k+1k+1.

  2. Use the formula for the mean to find kk.

    The mean is the sum of all numbers divided by the count of numbers.

    Mean=∑xn\text{Mean} = \frac{\sum x}{n}

    Substitute the given values:

    k+1=1+4+k+4+(k+1)5k+1 = \frac{1+4+k+4+(k+1)}{5} k+1=10+2k5k+1 = \frac{10+2k}{5}

    Multiply both sides by 5:

    5(k+1)=10+2k5(k+1) = 10+2k 5k+5=10+2k5k+5 = 10+2k

    Subtract 2k2k from both sides:

    3k+5=103k+5 = 10

    Subtract 5 from both sides:

    3k=53k = 5

    Divide by 3:

    k=53k = \frac{5}{3}
  3. Substitute the value of kk back into the set of numbers and the mean.

    The numbers are 1,4,k,4,k+11, 4, k, 4, k+1.
    Substitute k=53k = \frac{5}{3}:

    1,4,53,4,53+11, 4, \frac{5}{3}, 4, \frac{5}{3}+1 1,4,53,4,831, 4, \frac{5}{3}, 4, \frac{8}{3}

    The mean is k+1=53+1=83k+1 = \frac{5}{3}+1 = \frac{8}{3}.

  4. Calculate the variance.

    The variance (σ2\sigma^2) is the average of the squared differences from the mean.

    σ2=∑(xi−mean)2n\sigma^2 = \frac{\sum (x_i - \text{mean})^2}{n}

    Calculate the differences from the mean:

    (1−83)2=(3−83)2=(−53)2=259(1 - \frac{8}{3})^2 = (\frac{3-8}{3})^2 = (-\frac{5}{3})^2 = \frac{25}{9} (4−83)2=(12−83)2=(43)2=169(4 - \frac{8}{3})^2 = (\frac{12-8}{3})^2 = (\frac{4}{3})^2 = \frac{16}{9} (53−83)2=(−33)2=(−1)2=1=99(\frac{5}{3} - \frac{8}{3})^2 = (-\frac{3}{3})^2 = (-1)^2 = 1 = \frac{9}{9} (4−83)2=(43)2=169(4 - \frac{8}{3})^2 = (\frac{4}{3})^2 = \frac{16}{9} (83−83)2=(0)2=0(\frac{8}{3} - \frac{8}{3})^2 = (0)^2 = 0

    Sum of squared differences:

    ∑(xi−mean)2=259+169+99+169+0=25+16+9+169=669\sum (x_i - \text{mean})^2 = \frac{25}{9} + \frac{16}{9} + \frac{9}{9} + \frac{16}{9} + 0 = \frac{25+16+9+16}{9} = \frac{66}{9}

    Now calculate the variance:

    σ2=6695=669×5=6645\sigma^2 = \frac{\frac{66}{9}}{5} = \frac{66}{9 \times 5} = \frac{66}{45}

    Simplify the fraction:

    σ2=2215\sigma^2 = \frac{22}{15}
  5. Calculate the standard deviation.

    The standard deviation (σ\sigma) is the square root of the variance.

    σ=σ2=2215\sigma = \sqrt{\sigma^2} = \sqrt{\frac{22}{15}} σ≈1.4667≈1.211\sigma \approx \sqrt{1.4667} \approx 1.211

    The value of kk is 53\boxed{\frac{5}{3}} and the standard deviation is 2215≈1.211\boxed{\sqrt{\frac{22}{15}} \approx 1.211}.

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