e probability that a quart of this brand of milk chosen at random will contain the following. (Round your answers to four decimal places.) (a) between 30 and 38 g of butterfat

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A quart of milk contains a mean of 30 g of butterfat, with a standard deviation of 4 g. If the butterfat is normally distributed, find the probability that a quart of this brand of milk chosen at random will contain the following. (Round your answers to four decimal places.)

(a) between 30 and 38 g of butterfat


(b) between 28 and 30 g of butterfat
**Areas Under the Standard Normal Curve**

The table provides the values of \( A \), which represent the areas under the standard normal curve between \( z = 0 \) and \( z = z_0 \), where \( z_0 \geq 0 \). These values are critical for statistical analysis, allowing for the determination of probabilities associated with the standard normal distribution. For negative values of \( z_0 \), areas can be obtained symmetrically by reflecting the positive \( z_0 \) values.

**Table Overview**

| \( z_0 \) | \( A \)   | \( z_0 \) | \( A \)   | \( z_0 \) | \( A \)   | \( z_0 \) | \( A \)   |
|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|
| 0.00      | 0.0000    | 0.23      | 0.0918    | 0.86      | 0.3051    | 1.29      | 0.4015    |
| 0.01      | 0.0040    | 0.24      | 0.0948    | 0.87      | 0.3078    | 1.30      | 0.4032    |
| 0.02      | 0.0080    | 0.25      | 0.0987    | 0.88      | 0.3106    | 1.31      | 0.4049    |
| 0.03      | 0.0120    | 0.26      | 0.1026    | 0.89      | 0.3133    | 1.32      | 0.4066    |
| 0.04      | 0.0160    | 0.27      | 0.1064    | 0.90      | 0.3159    | 1.33      | 0.4082    |
| ...       | ...       | ...       | ...       | ...       | ...       | ...       | ...       |
| 0.83      | 0.2967    | 1.26      | 0.3962    | ...       |
Transcribed Image Text:**Areas Under the Standard Normal Curve** The table provides the values of \( A \), which represent the areas under the standard normal curve between \( z = 0 \) and \( z = z_0 \), where \( z_0 \geq 0 \). These values are critical for statistical analysis, allowing for the determination of probabilities associated with the standard normal distribution. For negative values of \( z_0 \), areas can be obtained symmetrically by reflecting the positive \( z_0 \) values. **Table Overview** | \( z_0 \) | \( A \) | \( z_0 \) | \( A \) | \( z_0 \) | \( A \) | \( z_0 \) | \( A \) | |-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------| | 0.00 | 0.0000 | 0.23 | 0.0918 | 0.86 | 0.3051 | 1.29 | 0.4015 | | 0.01 | 0.0040 | 0.24 | 0.0948 | 0.87 | 0.3078 | 1.30 | 0.4032 | | 0.02 | 0.0080 | 0.25 | 0.0987 | 0.88 | 0.3106 | 1.31 | 0.4049 | | 0.03 | 0.0120 | 0.26 | 0.1026 | 0.89 | 0.3133 | 1.32 | 0.4066 | | 0.04 | 0.0160 | 0.27 | 0.1064 | 0.90 | 0.3159 | 1.33 | 0.4082 | | ... | ... | ... | ... | ... | ... | ... | ... | | 0.83 | 0.2967 | 1.26 | 0.3962 | ... |
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