We often substitute the given info
We can estimate the expected value of the various percentiles assuming the normal distribution.
The median, 50th percentile, is the mean, 0.785 mm.
Typically we remember ±1 standard deviation is 68% of the probability, so one standard deviation below the mean is 16th percentile (50-68/2) and one standard deviation above the mean is 84th percentile.
The quartiles, 25th and 75th percentile, are about 2/3 of a standard deviation away from the mean. In other words ±.67 standard deviations is 50% of the probability. It's not a commonly remembered number like 68-95-99.7, but perhaps it should be.
The 25th percentile is 0.785 - (.67)(.07) = <span>0.7381 mm.
</span>The 75th percentile is 0.785 + (.67)(.07) = 0.8319 mm.
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The answer is 76 & 14, hope this helps.
Answer:
point-slope form:
y - 10 = -4(x - -2)
y - 10 = -4(x + 2)
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slope-intercept form:
y - 10 = -4x - 8
y = -4x - 8 + 10
y = -4x + 2
Step-by-step explanation:
Decimal form: 4.05, 0.5
Exact form: 9/2, 1/2
