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What are the solutions to these statistics problems: 62. If b = 2 and a = 5, predict ŷ when x = 4? 63. Class size: Range = 50, K = 5. 64. Sturges: N = 64.

Mathematics

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C

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Here are the solutions to the problems:

62. If b=2b = 2 and a=5a = 5, predict y^\hat{y} when x=4x = 4
Assuming the linear prediction equation is y^=a+bx\hat{y} = a + bx.

  1. Substitute the given values into the equation.

    y^=5+(2)(4)\hat{y} = 5 + (2)(4)
  2. Perform the multiplication.

    y^=5+8\hat{y} = 5 + 8
  3. Perform the addition.

    y^=13\hat{y} = 13

    The predicted value of y^\hat{y} is 13.

    The correct option is C.
    C. 13\boxed{\text{C. 13}}

    63. Class size: Range = 50, K = 5
    The formula for class size (or class width) is given by:

    Class Size=RangeK\text{Class Size} = \frac{\text{Range}}{K}
  4. Substitute the given values.

    Class Size=505\text{Class Size} = \frac{50}{5}
  5. Calculate the class size.

    Class Size=10\text{Class Size} = 10

    The class size is 10.

    The correct option is B.
    B. 10\boxed{\text{B. 10}}

    64. Sturges: N = 64
    Sturges' formula for the number of classes (K) is:

    K=1+3.322log⁡10(N)K = 1 + 3.322 \log_{10}(N)
  6. Substitute N = 64 into the formula.

    K=1+3.322log⁡10(64)K = 1 + 3.322 \log_{10}(64)
  7. Calculate the value of log⁡10(64)\log_{10}(64).

    log⁡10(64)≈1.80618\log_{10}(64) \approx 1.80618
  8. Substitute the log value back into the formula and calculate K.

    K=1+3.322×1.80618K = 1 + 3.322 \times 1.80618 K=1+5.99999K = 1 + 5.99999 K≈7.0K \approx 7.0

    The number of classes is approximately 7.

    The question asks for "Sturges: N=64" and provides options. Option B is the formula itself, which evaluates to approximately 7.
    The correct option is B.
    B. 1+3.322log⁡64\boxed{\text{B. } 1 + 3.322 \log 64}

    65. CI: xˉ=50\bar{x} = 50, σ=10\sigma = 10, n=25n = 25, Z=1.96Z = 1.96. Margin of error =
    The formula for the margin of error (ME) for a confidence interval for the mean when the population standard deviation (σ\sigma) is known is:

    ME=Z⋅σnME = Z \cdot \frac{\sigma}{\sqrt{n}}
  9. Substitute the given values into the formula.

    ME=1.96⋅1025ME = 1.96 \cdot \frac{10}{\sqrt{25}}
  10. Calculate the square root of n.

    ME=1.96⋅105ME = 1.96 \cdot \frac{10}{5}
  11. Perform the division.

    ME=1.96⋅2ME = 1.96 \cdot 2
  12. Perform the multiplication.

    ME=3.92ME = 3.92

    The margin of error is 3.92.

    The correct option is B.
    B. 3.92\boxed{\text{B. 3.92}}

    66. CI interval = 50±3.9250 \pm 3.92
    The confidence interval (CI) is given by xˉ±ME\bar{x} \pm ME.
    Given: xˉ=50\bar{x} = 50 and ME=3.92ME = 3.92.

  13. Calculate the lower bound of the interval.

    Lower Bound=xˉ−ME=50−3.92=46.08\text{Lower Bound} = \bar{x} - ME = 50 - 3.92 = 46.08
  14. Calculate the upper bound of the interval.

    Upper Bound=xˉ+ME=50+3.92=53.92\text{Upper Bound} = \bar{x} + ME = 50 + 3.92 = 53.92

    The confidence interval is (46.08,53.92)(46.08, 53.92).

    The correct option is A.
    A. (46.08, 53.92)\boxed{\text{A. (46.08, 53.92)}}

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