When the distribution is not mentioned, it is conventionally assumed to be Normal.
Here the distribution of X has not been mentioned, so we assume
X ~ N(μ = 153, σ2 = 252)
Then by the property of Normal distribution,
Z = "\\frac{x-\\mu}{\\sigma}" ~ N(0, 1) i.e. Z is a standard normal variable
Therefore, P(130 ≤ x ≤ 170)
= P("\\frac{130-153}{25}\\leq\\frac{x-153}{25}\\leq\\frac{170-153}{25}")
= P(- 0.92 ≤ Z ≤ 0.68)
= P(Z ≤ 0.68) - P(Z < - 0.92)
= "\\Phi"(0.68) - "\\Phi"(- 0.92)
= 0.7517 - 0.1788 = 0.5729
Answer: The value of P(130 ≤ x ≤ 170) is 0.5729.
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