In the fall harvest are normally distributed, with mean weight of 200

‘in the fall harvest are normally distributed, with mean weight of 200 The weights of apples grams and standard deviation of 8 grams What is the percentage of apples between 184 and 216 grams? 12 (a) 50% (0) 682 (c) 47.5% (d) 34% (e) 95%’

The Correct Answer and Explanation is:

To solve this, we can use the properties of the normal distribution. Given that the weights of apples follow a normal distribution with:

  • Mean (μ) = 200 grams
  • Standard deviation (σ) = 8 grams

We need to find the percentage of apples that weigh between 184 grams and 216 grams.

Step 1: Standardize the values using the Z-score formula

The Z-score formula is: Z=X−μσZ = \frac{X – \mu}{\sigma}Z=σX−μ​

Where:

  • XXX is the data point,
  • μ\muμ is the mean,
  • σ\sigmaσ is the standard deviation.

Now, calculate the Z-scores for 184 grams and 216 grams.

For 184 grams:

Z=184−2008=−168=−2Z = \frac{184 – 200}{8} = \frac{-16}{8} = -2Z=8184−200​=8−16​=−2

For 216 grams:

Z=216−2008=168=2Z = \frac{216 – 200}{8} = \frac{16}{8} = 2Z=8216−200​=816​=2

Step 2: Use the Z-table (standard normal distribution table) to find the probabilities

For Z = -2 and Z = 2, we look up the corresponding probabilities from the Z-table:

  • The probability for Z = -2 is approximately 0.0228.
  • The probability for Z = 2 is approximately 0.9772.

Step 3: Calculate the percentage between 184 and 216 grams

To find the percentage of apples that fall between 184 grams and 216 grams, we subtract the probability at Z = -2 from the probability at Z = 2: P(184≤X≤216)=P(Z=2)−P(Z=−2)=0.9772−0.0228=0.9544P(184 \leq X \leq 216) = P(Z = 2) – P(Z = -2) = 0.9772 – 0.0228 = 0.9544P(184≤X≤216)=P(Z=2)−P(Z=−2)=0.9772−0.0228=0.9544

Step 4: Convert to percentage

To convert this to a percentage: 0.9544×100=95.44%0.9544 \times 100 = 95.44\%0.9544×100=95.44%

Conclusion:

The percentage of apples weighing between 184 grams and 216 grams is approximately 95%. Therefore, the correct answer is:

(e) 95%

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