## a. What proportion of resistors have resistances less than 90 Ω? b. Find the mean resistance. c. Find the standard deviation of the resistan

Question

a. What proportion of resistors have resistances less than 90 Ω? b. Find the mean resistance. c. Find the standard deviation of the resistances. d. Find the cumulative distribution function of the resistances.

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5 months 2021-08-27T12:46:39+00:00 1 Answers 0 views 0

a) 0.0625 = 6.25%

b) 106.67 Ω

c) 9.43 Ω

d) 1

Explanation:

The probability distribution is given as

f(x) = (x – 80)/800 for 80 < x < 120

f(x) = 0 otherwise.

f(x) = (x/800) – (0.1)

a) Proportion of resistors with resistance less than 90 Ω

P(X < 90) = ∫⁹⁰₈₀ f(x) dx

∫⁹⁰₈₀ f(x) dx = ∫⁹⁰₈₀ [(x/800) – (0.1)]

= [(x²/1600) – 0.1x]⁹⁰₈₀

= [(90²/1600) – 0.1(90)] – [(80²/1600) – 0.1(80)]

= (5.0625 – 9) – [4 – 8]

= -3.9375 + 4 = 0.0625 = 6.25%

b) The mean is given by the expected value expression E(X) = = Σ xᵢpᵢ (with the sum done all over the data set for each variable and its corresponding probability)

It can be written in integral form as

Mean = ∫¹²⁰₈₀ xf(x) dx (with the integral done all over the probability function, i.e. from, 80 to 120)

Mean = ∫¹²⁰₈₀ x[(x/800) – (0.1)] dx

= ∫¹²⁰₈₀ [(x²/800) – (0.1x)] dx

= [(x³/2400) – (0.05x²)]¹²⁰₈₀

= [(120³/2400) – (0.05(120²)] – [(80³/2400) – (0.05(80²)]

= [720 – 720] – [213.33 – 320] = 106.67 Ω

c) Standard deviation = √(variance)

Variance = Var(X) = Σx²p − μ²

μ = mean = expected value = 106.67 Ω

Σx²p = ∫¹²⁰₈₀ x²f(x) dx = ∫¹²⁰₈₀ x² [(x/800) – (0.1)] dx = ∫¹²⁰₈₀ [(x³/800) – (0.1x²)] dx

= [(x⁴/3200) – (0.0333x³)]¹²⁰₈₀

= [(120⁴/3200) – (0.0333(120³)] – [(80⁴/3200) – (0.0333(80)³)]

= (64800 – 57600) – (12800 – 17066.667)

= 11466.667

Variance = 11466.667 – 106.67² = 88.85

Standard deviation = √88.85 = 9.43 Ω

d) Cdf = sum of probabilities over the entire probability function

Cdf = ∫¹²⁰₈₀ f(x) dx = ∫¹²⁰₈₀ [(x/800) – (0.1)] dx

= [(x²/1600) – 0.1x]¹²⁰₈₀ = [(120²/1600) – 0.1(120)] – [(80²/1600) – 0.1(80)] = (9 – 12) – (4 – 8) = -3+4 = 1 as it should be!!!

Hope this Helps!!!