Answer:
Step-by-step explanation:
A suitable table or calculator is needed.
One standard deviation from the mean includes 68.27% of the total, so the number of bottles in the range 20 ± 0.16 ounces will be ...
0.6827·26,000 = 17,750 . . . . . within 20 ± 0.16
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The number below 1.5 standard deviations below the mean is about 6.68%, so for the given sample size is expected to be ...
0.66799·26,000 = 1737 . . . . . below 19.76
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<em>Comment on the first number</em>
The "empirical rule" tells you that 68% of the population is within 1 standard deviation (0.16 ounces) of the mean. When the number involved is expected to be expressed to 5 significant digits, your probability value needs better accuracy than that. To 6 digits, the value is 0.682689, which gives the same "rounded to the nearest integer" value as the one shown above.
Answer:
Asnwer is A
Step-by-step explanation:
since the correlation between the FFQ and DR is 0.89
x y xy

8.26 1.68 13.8768 68. 2276 2.8224
0.83 0 0 06889 0
20.13 15.1 303.963 405.2169 228.01
11.16 7.49 83.5884 124.5456 56.1001
7.18 12.84 92.1912 51.5524 164.8656
1.76 0 0 3.0976 0
22.46 25.06 567.8596 513.4756 628.0036
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∑
= ∑
= ∑
= ∑
= ∑
=
71.98 62.17 1061.479 1166.8046 1079.8017
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Correlation Coefficient or Pearson Correlation is given by:
the rest calculation is in the attached image
Answer:
6 kids with metal problems??
Step-by-step explanation: