Skip to content

Fractiles

Probability and Statistics · FE Reference Handbook section

Probability and Statistics
1 formulas
10 exam-style examples
~47 min
All Probability and Statistics lectures

Handbook notes for this section

Definitions and conditions exactly as the handbook states them.

  • Engineering Probability and Statistics

Core formulas for this FE topic

Definitions, applicability, units, assumptions and worked examples for each relation.

Worked exam-style examples

The four ways this section is written on the real exam — thoughts first, then equations, then substitution.

Example 1
Fractiles of a normal distribution — solve for fractile value — Fractiles

An engineer finds the 90th fractile of a strength distribution. Given mean (mu) = 75.0000; std deviation (sigma) = 11.5000; standard fractile value (zp) = -0.8500, determine the fractile value (xp).

Given

  • mean(mu)=75.0000mean (mu) = 75.0000
  • stddeviation(sigma)=11.5000std deviation (sigma) = 11.5000
  • standardfractilevalue(zp)=−0.8500standard fractile value (zp) = -0.8500

Find

fractile value (xp)

Start with the thinking

  • The governing relation printed in this handbook section is Fractiles of a normal distribution.
  • Everything except xp is given, so isolate xp symbolically first — never rearrange after the numbers are in.
  • Tabulate each given with its unit and confirm the units are consistent with the relation before substituting.
  • A fractile x_p of a distribution is located a standardized distance z_p from the mean.

Step-by-step solution

  1. Step 1 — State the governing relation:

    xp=μ+zpσx_p = \mu + z_p \sigma
  2. Step 2 — Rearrange symbolically for xp:

    xp=μ+zpσxp = \mu + z_p \sigma
  3. Step 3 — List the givens: mean (mu) = 75.0000, std deviation (sigma) = 11.5000, standard fractile value (zp) = -0.8500.

  4. Step 4 — Substitute the given values:

    xp=75.0000+zp11.5000xp = 75.0000 + z_p 11.5000
  5. Step 5 — Evaluate:

    xp=65.2250xp = 65.2250
  6. Step 6 — Check: returning xp = 65.2250 to

    xp=μ+zpσx_p = \mu + z_p \sigma

    reproduces the given quantities, and both sides carry the same units.

Answer:
xp=65.2250xp = 65.2250

Why the other options are there

  • 130.5 — kept a factor of two that cancels in the correct rearrangement.
  • 32.6125 — dropped that same factor in the other direction.
  • 71.7475 — rounded an intermediate value before the final step.

Reference: FE Handbook — Fractiles

Example 2
Fractiles of a normal distribution — solve for mean — Fractiles (2)

A student computes a fractile value for a normally distributed load. Given std deviation (sigma) = 18.5000; standard fractile value (zp) = -0.9100; fractile value (xp) = 75.8000, determine the mean (mu).

Given

  • stddeviation(sigma)=18.5000std deviation (sigma) = 18.5000
  • standardfractilevalue(zp)=−0.9100standard fractile value (zp) = -0.9100
  • fractilevalue(xp)=75.8000fractile value (xp) = 75.8000

Find

mean (mu)

Start with the thinking

  • The governing relation printed in this handbook section is Fractiles of a normal distribution.
  • Everything except mu is given, so isolate mu symbolically first — never rearrange after the numbers are in.
  • Tabulate each given with its unit and confirm the units are consistent with the relation before substituting.
  • A fractile x_p of a distribution is located a standardized distance z_p from the mean.

Step-by-step solution

  1. Step 1 — State the governing relation:

    xp=μ+zpσx_p = \mu + z_p \sigma
  2. Step 2 — Rearrange symbolically for mu:

    μ=xp−zpσ\mu = x_p - z_p \sigma
  3. Step 3 — List the givens: std deviation (sigma) = 18.5000, standard fractile value (zp) = -0.9100, fractile value (xp) = 75.8000.

  4. Step 4 — Substitute the given values:

    μ=xp−zp18.5000\mu = x_p - z_p 18.5000
  5. Step 5 — Evaluate:

    μ=92.6350\mu = 92.6350
  6. Step 6 — Check: returning mu = 92.6350 to

    xp=μ+zpσx_p = \mu + z_p \sigma

    reproduces the given quantities, and both sides carry the same units.

Answer:
μ=92.6350\mu = 92.6350

Why the other options are there

  • 185.3 — kept a factor of two that cancels in the correct rearrangement.
  • 46.3175 — dropped that same factor in the other direction.
  • 101.9 — rounded an intermediate value before the final step.

Reference: FE Handbook — Fractiles

Example 3
Fractiles of a normal distribution — solve for standard fractile value — Fractiles (3)

The design fractile of flood flows is estimated from the mean and standard deviation. Given mean (mu) = 68.0000; std deviation (sigma) = 17.0000; fractile value (xp) = 125.0, determine the standard fractile value (zp).

Given

  • mean(mu)=68.0000mean (mu) = 68.0000
  • stddeviation(sigma)=17.0000std deviation (sigma) = 17.0000
  • fractilevalue(xp)=125.0fractile value (xp) = 125.0

Find

standard fractile value (zp)

Start with the thinking

  • The governing relation printed in this handbook section is Fractiles of a normal distribution.
  • Everything except zp is given, so isolate zp symbolically first — never rearrange after the numbers are in.
  • Tabulate each given with its unit and confirm the units are consistent with the relation before substituting.
  • A fractile x_p of a distribution is located a standardized distance z_p from the mean.

Step-by-step solution

  1. Step 1 — State the governing relation:

    xp=μ+zpσx_p = \mu + z_p \sigma
  2. Step 2 — Rearrange symbolically for zp:

    zp=xp−μσzp = \dfrac{x_p - \mu}{\sigma}
  3. Step 3

    Listthegivens:mean(mu)=68.0000,stddeviation(sigma)=17.0000,fractilevalue(xp)=125.0List the givens: mean (mu) = 68.0000, std deviation (sigma) = 17.0000, fractile value (xp) = 125.0
  4. Step 4 — Substitute the given values:

    zp=xp−68.000017.0000zp = \dfrac{x_p - 68.0000}{17.0000}
  5. Step 5 — Evaluate:

    zp=3.3529zp = 3.3529
  6. Step 6 — Check: returning zp = 3.3529 to

    xp=μ+zpσx_p = \mu + z_p \sigma

    reproduces the given quantities, and both sides carry the same units.

Answer:
zp=3.3529zp = 3.3529

Why the other options are there

  • 6.7059 — kept a factor of two that cancels in the correct rearrangement.
  • 1.6765 — dropped that same factor in the other direction.
  • 3.6882 — rounded an intermediate value before the final step.

Reference: FE Handbook — Fractiles

Example 4
Fractiles of a normal distribution — solve for fractile value (case 2) — Fractiles (4)

An engineer finds the 90th fractile of a strength distribution. Given mean (mu) = 84.0000; std deviation (sigma) = 8.5000; standard fractile value (zp) = -2.0300, determine the fractile value (xp).

Given

  • mean(mu)=84.0000mean (mu) = 84.0000
  • stddeviation(sigma)=8.5000std deviation (sigma) = 8.5000
  • standardfractilevalue(zp)=−2.0300standard fractile value (zp) = -2.0300

Find

fractile value (xp)

Start with the thinking

  • The governing relation printed in this handbook section is Fractiles of a normal distribution.
  • Everything except xp is given, so isolate xp symbolically first — never rearrange after the numbers are in.
  • Tabulate each given with its unit and confirm the units are consistent with the relation before substituting.
  • A fractile x_p of a distribution is located a standardized distance z_p from the mean.

Step-by-step solution

  1. Step 1 — State the governing relation:

    xp=μ+zpσx_p = \mu + z_p \sigma
  2. Step 2 — Rearrange symbolically for xp:

    xp=μ+zpσxp = \mu + z_p \sigma
  3. Step 3 — List the givens: mean (mu) = 84.0000, std deviation (sigma) = 8.5000, standard fractile value (zp) = -2.0300.

  4. Step 4 — Substitute the given values:

    xp=84.0000+zp8.5000xp = 84.0000 + z_p 8.5000
  5. Step 5 — Evaluate:

    xp=66.7450xp = 66.7450
  6. Step 6 — Check: returning xp = 66.7450 to

    xp=μ+zpσx_p = \mu + z_p \sigma

    reproduces the given quantities, and both sides carry the same units.

Answer:
xp=66.7450xp = 66.7450

Why the other options are there

  • 133.5 — kept a factor of two that cancels in the correct rearrangement.
  • 33.3725 — dropped that same factor in the other direction.
  • 73.4195 — rounded an intermediate value before the final step.

Reference: FE Handbook — Fractiles

Example 5
Fractiles of a normal distribution — solve for mean (case 2) — Fractiles (5)

A student computes a fractile value for a normally distributed load. Given std deviation (sigma) = 10.5000; standard fractile value (zp) = -0.1500; fractile value (xp) = 187.4, determine the mean (mu).

Given

  • stddeviation(sigma)=10.5000std deviation (sigma) = 10.5000
  • standardfractilevalue(zp)=−0.1500standard fractile value (zp) = -0.1500
  • fractilevalue(xp)=187.4fractile value (xp) = 187.4

Find

mean (mu)

Start with the thinking

  • The governing relation printed in this handbook section is Fractiles of a normal distribution.
  • Everything except mu is given, so isolate mu symbolically first — never rearrange after the numbers are in.
  • Tabulate each given with its unit and confirm the units are consistent with the relation before substituting.
  • A fractile x_p of a distribution is located a standardized distance z_p from the mean.

Step-by-step solution

  1. Step 1 — State the governing relation:

    xp=μ+zpσx_p = \mu + z_p \sigma
  2. Step 2 — Rearrange symbolically for mu:

    μ=xp−zpσ\mu = x_p - z_p \sigma
  3. Step 3 — List the givens: std deviation (sigma) = 10.5000, standard fractile value (zp) = -0.1500, fractile value (xp) = 187.4.

  4. Step 4 — Substitute the given values:

    μ=xp−zp10.5000\mu = x_p - z_p 10.5000
  5. Step 5 — Evaluate:

    μ=189.0\mu = 189.0
  6. Step 6 — Check: returning mu = 189.0 to

    xp=μ+zpσx_p = \mu + z_p \sigma

    reproduces the given quantities, and both sides carry the same units.

Answer:
μ=189.0\mu = 189.0

Why the other options are there

  • 378.0 — kept a factor of two that cancels in the correct rearrangement.
  • 94.4875 — dropped that same factor in the other direction.
  • 207.9 — rounded an intermediate value before the final step.

Reference: FE Handbook — Fractiles

Example 6
Fractiles of a normal distribution — solve for standard fractile value (case 2) — Fractiles (6)

The design fractile of flood flows is estimated from the mean and standard deviation. Given mean (mu) = 76.0000; std deviation (sigma) = 12.0000; fractile value (xp) = 107.1, determine the standard fractile value (zp).

Given

  • mean(mu)=76.0000mean (mu) = 76.0000
  • stddeviation(sigma)=12.0000std deviation (sigma) = 12.0000
  • fractilevalue(xp)=107.1fractile value (xp) = 107.1

Find

standard fractile value (zp)

Start with the thinking

  • The governing relation printed in this handbook section is Fractiles of a normal distribution.
  • Everything except zp is given, so isolate zp symbolically first — never rearrange after the numbers are in.
  • Tabulate each given with its unit and confirm the units are consistent with the relation before substituting.
  • A fractile x_p of a distribution is located a standardized distance z_p from the mean.

Step-by-step solution

  1. Step 1 — State the governing relation:

    xp=μ+zpσx_p = \mu + z_p \sigma
  2. Step 2 — Rearrange symbolically for zp:

    zp=xp−μσzp = \dfrac{x_p - \mu}{\sigma}
  3. Step 3

    Listthegivens:mean(mu)=76.0000,stddeviation(sigma)=12.0000,fractilevalue(xp)=107.1List the givens: mean (mu) = 76.0000, std deviation (sigma) = 12.0000, fractile value (xp) = 107.1
  4. Step 4 — Substitute the given values:

    zp=xp−76.000012.0000zp = \dfrac{x_p - 76.0000}{12.0000}
  5. Step 5 — Evaluate:

    zp=2.5917zp = 2.5917
  6. Step 6 — Check: returning zp = 2.5917 to

    xp=μ+zpσx_p = \mu + z_p \sigma

    reproduces the given quantities, and both sides carry the same units.

Answer:
zp=2.5917zp = 2.5917

Why the other options are there

  • 5.1833 — kept a factor of two that cancels in the correct rearrangement.
  • 1.2958 — dropped that same factor in the other direction.
  • 2.8508 — rounded an intermediate value before the final step.

Reference: FE Handbook — Fractiles

Example 7
Fractiles of a normal distribution — solve for fractile value (case 3) — Fractiles (7)

An engineer finds the 90th fractile of a strength distribution. Given mean (mu) = 100.0; std deviation (sigma) = 11.5000; standard fractile value (zp) = -0.1500, determine the fractile value (xp).

Given

  • mean(mu)=100.0mean (mu) = 100.0
  • stddeviation(sigma)=11.5000std deviation (sigma) = 11.5000
  • standardfractilevalue(zp)=−0.1500standard fractile value (zp) = -0.1500

Find

fractile value (xp)

Start with the thinking

  • The governing relation printed in this handbook section is Fractiles of a normal distribution.
  • Everything except xp is given, so isolate xp symbolically first — never rearrange after the numbers are in.
  • Tabulate each given with its unit and confirm the units are consistent with the relation before substituting.
  • A fractile x_p of a distribution is located a standardized distance z_p from the mean.

Step-by-step solution

  1. Step 1 — State the governing relation:

    xp=μ+zpσx_p = \mu + z_p \sigma
  2. Step 2 — Rearrange symbolically for xp:

    xp=μ+zpσxp = \mu + z_p \sigma
  3. Step 3 — List the givens: mean (mu) = 100.0, std deviation (sigma) = 11.5000, standard fractile value (zp) = -0.1500.

  4. Step 4 — Substitute the given values:

    xp=100.0+zp11.5000xp = 100.0 + z_p 11.5000
  5. Step 5 — Evaluate:

    xp=98.2750xp = 98.2750
  6. Step 6 — Check: returning xp = 98.2750 to

    xp=μ+zpσx_p = \mu + z_p \sigma

    reproduces the given quantities, and both sides carry the same units.

Answer:
xp=98.2750xp = 98.2750

Why the other options are there

  • 196.6 — kept a factor of two that cancels in the correct rearrangement.
  • 49.1375 — dropped that same factor in the other direction.
  • 108.1 — rounded an intermediate value before the final step.

Reference: FE Handbook — Fractiles

Example 8
Fractiles of a normal distribution — solve for mean (case 3) — Fractiles (8)

A student computes a fractile value for a normally distributed load. Given std deviation (sigma) = 13.5000; standard fractile value (zp) = 0.7200; fractile value (xp) = 159.5, determine the mean (mu).

Given

  • stddeviation(sigma)=13.5000std deviation (sigma) = 13.5000
  • standardfractilevalue(zp)=0.7200standard fractile value (zp) = 0.7200
  • fractilevalue(xp)=159.5fractile value (xp) = 159.5

Find

mean (mu)

Start with the thinking

  • The governing relation printed in this handbook section is Fractiles of a normal distribution.
  • Everything except mu is given, so isolate mu symbolically first — never rearrange after the numbers are in.
  • Tabulate each given with its unit and confirm the units are consistent with the relation before substituting.
  • A fractile x_p of a distribution is located a standardized distance z_p from the mean.

Step-by-step solution

  1. Step 1 — State the governing relation:

    xp=μ+zpσx_p = \mu + z_p \sigma
  2. Step 2 — Rearrange symbolically for mu:

    μ=xp−zpσ\mu = x_p - z_p \sigma
  3. Step 3 — List the givens: std deviation (sigma) = 13.5000, standard fractile value (zp) = 0.7200, fractile value (xp) = 159.5.

  4. Step 4 — Substitute the given values:

    μ=xp−zp13.5000\mu = x_p - z_p 13.5000
  5. Step 5 — Evaluate:

    μ=149.8\mu = 149.8
  6. Step 6 — Check: returning mu = 149.8 to

    xp=μ+zpσx_p = \mu + z_p \sigma

    reproduces the given quantities, and both sides carry the same units.

Answer:
μ=149.8\mu = 149.8

Why the other options are there

  • 299.6 — kept a factor of two that cancels in the correct rearrangement.
  • 74.8900 — dropped that same factor in the other direction.
  • 164.8 — rounded an intermediate value before the final step.

Reference: FE Handbook — Fractiles

Example 9
Fractiles of a normal distribution — solve for standard fractile value (case 3) — Fractiles (9)

The design fractile of flood flows is estimated from the mean and standard deviation. Given mean (mu) = 147.0; std deviation (sigma) = 14.0000; fractile value (xp) = 40.9000, determine the standard fractile value (zp).

Given

  • mean(mu)=147.0mean (mu) = 147.0
  • stddeviation(sigma)=14.0000std deviation (sigma) = 14.0000
  • fractilevalue(xp)=40.9000fractile value (xp) = 40.9000

Find

standard fractile value (zp)

Start with the thinking

  • The governing relation printed in this handbook section is Fractiles of a normal distribution.
  • Everything except zp is given, so isolate zp symbolically first — never rearrange after the numbers are in.
  • Tabulate each given with its unit and confirm the units are consistent with the relation before substituting.
  • A fractile x_p of a distribution is located a standardized distance z_p from the mean.

Step-by-step solution

  1. Step 1 — State the governing relation:

    xp=μ+zpσx_p = \mu + z_p \sigma
  2. Step 2 — Rearrange symbolically for zp:

    zp=xp−μσzp = \dfrac{x_p - \mu}{\sigma}
  3. Step 3

    Listthegivens:mean(mu)=147.0,stddeviation(sigma)=14.0000,fractilevalue(xp)=40.9000List the givens: mean (mu) = 147.0, std deviation (sigma) = 14.0000, fractile value (xp) = 40.9000
  4. Step 4 — Substitute the given values:

    zp=xp−147.014.0000zp = \dfrac{x_p - 147.0}{14.0000}
  5. Step 5 — Evaluate:

    zp=−7.5786zp = -7.5786
  6. Step 6 — Check: returning zp = -7.5786 to

    xp=μ+zpσx_p = \mu + z_p \sigma

    reproduces the given quantities, and both sides carry the same units.

Answer:
zp=−7.5786zp = -7.5786

Why the other options are there

  • -15.1571 — kept a factor of two that cancels in the correct rearrangement.
  • -3.7893 — dropped that same factor in the other direction.
  • -8.3364 — rounded an intermediate value before the final step.

Reference: FE Handbook — Fractiles

Example 10
Fractiles of a normal distribution — solve for fractile value (case 4) — Fractiles (10)

An engineer finds the 90th fractile of a strength distribution. Given mean (mu) = 121.0; std deviation (sigma) = 7.5000; standard fractile value (zp) = 0.6400, determine the fractile value (xp).

Given

  • mean(mu)=121.0mean (mu) = 121.0
  • stddeviation(sigma)=7.5000std deviation (sigma) = 7.5000
  • standardfractilevalue(zp)=0.6400standard fractile value (zp) = 0.6400

Find

fractile value (xp)

Start with the thinking

  • The governing relation printed in this handbook section is Fractiles of a normal distribution.
  • Everything except xp is given, so isolate xp symbolically first — never rearrange after the numbers are in.
  • Tabulate each given with its unit and confirm the units are consistent with the relation before substituting.
  • A fractile x_p of a distribution is located a standardized distance z_p from the mean.

Step-by-step solution

  1. Step 1 — State the governing relation:

    xp=μ+zpσx_p = \mu + z_p \sigma
  2. Step 2 — Rearrange symbolically for xp:

    xp=μ+zpσxp = \mu + z_p \sigma
  3. Step 3 — List the givens: mean (mu) = 121.0, std deviation (sigma) = 7.5000, standard fractile value (zp) = 0.6400.

  4. Step 4 — Substitute the given values:

    xp=121.0+zp7.5000xp = 121.0 + z_p 7.5000
  5. Step 5 — Evaluate:

    xp=125.8xp = 125.8
  6. Step 6 — Check: returning xp = 125.8 to

    xp=μ+zpσx_p = \mu + z_p \sigma

    reproduces the given quantities, and both sides carry the same units.

Answer:
xp=125.8xp = 125.8

Why the other options are there

  • 251.6 — kept a factor of two that cancels in the correct rearrangement.
  • 62.9000 — dropped that same factor in the other direction.
  • 138.4 — rounded an intermediate value before the final step.

Reference: FE Handbook — Fractiles

© 2026 Dr. Steve Efe. Civil Engineering Capstone Studio. All rights reserved.