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Section 5.2: Normal Distributions: FindProbabilities 2. The diameters of a woode

ID: 2951892 • Letter: S

Question

Section 5.2: Normal Distributions: FindProbabilities

2. The diameters of a woodendowel produced by a new machine are normally distributed with amean of 0.55 inches and a standard deviation of 0.01 inches. Whatpercent of the dowels will have a diameter greater than 0.57?

(5 points)

3. A loan officer ratesapplicants for credit. Ratings are normally distributed. The meanis 240 and the standard deviation is 50. Find the probability thatan applicant will have a rating greater than 260.

          (5points)

Explanation / Answer

2) The empirical rule states:
Mean +/- the standard deviation will contain approximately 68% ofthe measurements.
Mean +/- 2* standard deviation will contain approx 95% of themeasurements
Mean +/- 3* standard deviation will contain approx 99.7% of themeasurements

In this case, we are looking at the mean plus 2 standarddeviations.
We also want the percentage of ALL the measurements less than .57,so this is the same as 1 - percentage greater than .57.

The upper tail contails 2.5% of our measurements, so the answeris
1-.025 = .975 or 97.5% or measurements 3)
    • Mean = 240 and SD = 60

      Then SE = 60/sqrt(36) = 10

      P(230 < X < 260) = P( (230-240)/10 < Z <(260-240)/10)
      = P(-1 < Z < +2)
      = P(-1 < Z) - P(+2 < Z)
      = 0.84134 - 0.02275
      = 0.81859
    • 19.7%

      normalcdf(lowerbound, upperbound, mean, standard deviation)

      or

      normalcdf(230, 260, 240, 60) = .1967, or 19.7%
  • Mean = 240 and SD = 60

    Then SE = 60/sqrt(36) = 10

    P(230 < X < 260) = P( (230-240)/10 < Z <(260-240)/10)
    = P(-1 < Z < +2)
    = P(-1 < Z) - P(+2 < Z)
    = 0.84134 - 0.02275
    = 0.81859
  • 19.7%

    normalcdf(lowerbound, upperbound, mean, standard deviation)

    or

    normalcdf(230, 260, 240, 60) = .1967, or 19.7%
  • Mean = 240 and SD = 60

    Then SE = 60/sqrt(36) = 10

    P(230 < X < 260) = P( (230-240)/10 < Z <(260-240)/10)
    = P(-1 < Z < +2)
    = P(-1 < Z) - P(+2 < Z)
    = 0.84134 - 0.02275
    = 0.81859
  • 19.7%

    normalcdf(lowerbound, upperbound, mean, standard deviation)

    or

    normalcdf(230, 260, 240, 60) = .1967, or 19.7%
Mean = 240 and SD = 60

Then SE = 60/sqrt(36) = 10

P(230 < X < 260) = P( (230-240)/10 < Z <(260-240)/10)
= P(-1 < Z < +2)
= P(-1 < Z) - P(+2 < Z)
= 0.84134 - 0.02275
= 0.81859 Mean = 240 and SD = 60

Then SE = 60/sqrt(36) = 10

P(230 < X < 260) = P( (230-240)/10 < Z <(260-240)/10)
= P(-1 < Z < +2)
= P(-1 < Z) - P(+2 < Z)
= 0.84134 - 0.02275
= 0.81859 19.7%

normalcdf(lowerbound, upperbound, mean, standard deviation)

or

normalcdf(230, 260, 240, 60) = .1967, or 19.7% 19.7%

normalcdf(lowerbound, upperbound, mean, standard deviation)

or

normalcdf(230, 260, 240, 60) = .1967, or 19.7% 19.7%

normalcdf(lowerbound, upperbound, mean, standard deviation)

or

normalcdf(230, 260, 240, 60) = .1967, or 19.7%
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