“almost All (99.7%) Horse Pregnancies Fall In What Range Of Lengths” Worksheet Answers?

Between what values do the lengths of the middle 95% of all horse pregnancies fall?

The middle 95% of all pregnancies last between 266-2*16 and 266+2*16 days, 234 to 298 (for future reference, note that this “rule” is Page 3 rounded somewhat compared to the charts). The middle 99.7% of all pregnancies last between 266-3*16 and 266+3*16 days, 218 to 314.

How long are the longest 2.5 percent of all pregnancies?

The longest 2.5% of all pregnancies will fall above 2 standard deviations from the mean. 266 + 2 H16L = 298 So the longest 2.5% of all pregnancies last 298 or more days. What percentage of human pregnancies last less than 270 days?

What percent of horse pregnancies are longer than 342 days?

(a) Using the 68-95 rule for the normal density curve representing horse pregnancies, we know that 95% of all horse pregnancies will lie within 2 SDs about the mean. So for the particular question at hand we can say that 95% of horse pregnancies will lie between 336 ± 2 × 3 or 330 to 342 days.

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What percent of horse pregnancies are longer than 339 days?

(a) 99.7% of horse pregnancies fall within three standard deviations of the mean: 336 ± 3(3), or 327 to 325 days. (b) About 16% are longer than 339 days since 339 days or more corresponds to at least one standard deviation above the mean.

How long do the longest 20% of pregnancies last?

(c) How long do the longest 20% of pregnancies last? The longest 20% of pregnancies last at least 280 days.

How short are the shortest 2.5 of all pregnancies?

(b) The shortest 2.5% of pregnancies are shorter than 234 days (more than two standard deviations below the mean).

Between what two values will the duration of 95% of all human pregnancies fall?

So, 95% of all pregnancies will last between 234 and 298 days.

What range of lengths covers almost all 99.7 %) of this distribution?

Answer: The lengths from 32.1cm to 46.5cm covers 99.7% of this distribution.

How do you find the Z score?

The formula for calculating a z-score is is z = (x-μ)/σ, where x is the raw score, μ is the population mean, and σ is the population standard deviation. As the formula shows, the z-score is simply the raw score minus the population mean, divided by the population standard deviation.

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