Answer :
To determine if any assumptions for inference about a proportion are violated in this scenario, we need to assess several conditions:
1. Calculate the Sample Proportion ([tex]\( \hat{p} \)[/tex]):
- Total number of tomatoes sampled ([tex]\( n \)[/tex]) = 150
- Number of blemished tomatoes in the sample ([tex]\( x \)[/tex]) = 8
- Sample proportion ([tex]\( \hat{p} \)[/tex]) is calculated as:
[tex]\[
\hat{p} = \frac{x}{n} = \frac{8}{150} = 0.0533
\][/tex]
2. Population Proportion ([tex]\( p \)[/tex]):
- The population proportion given is [tex]\( p = 0.04 \)[/tex].
3. Large Counts Condition:
- This condition is fulfilled if both [tex]\( np > 10 \)[/tex] and [tex]\( n(1-p) > 10 \)[/tex].
- Check if [tex]\( np > 10 \)[/tex]:
[tex]\[
np = 150 \times 0.04 = 6
\][/tex]
Since 6 is not greater than 10, this condition is violated.
- Check if [tex]\( n(1-p) > 10 \)[/tex]:
[tex]\[
n(1-p) = 150 \times (1 - 0.04) = 150 \times 0.96 = 144
\][/tex]
Since 144 is greater than 10, this part of the condition is satisfied.
4. Random Sample:
- The sample is described as an SRS (Simple Random Sample) of the truckload, suggesting that the sample is random. This condition is assumed to be satisfied.
5. 10% Condition:
- The sample size must be less than 10% of the population for this condition to be satisfied.
- Population size = 2700 tomatoes
- Calculate 10% of the population:
[tex]\[
0.10 \times 2700 = 270
\][/tex]
Since the sample size of 150 is less than 270, this condition is satisfied.
Based on these checks, the violation occurs with the large counts condition for [tex]\( np \)[/tex] since it is not greater than 10. Therefore, this assumption is violated.
1. Calculate the Sample Proportion ([tex]\( \hat{p} \)[/tex]):
- Total number of tomatoes sampled ([tex]\( n \)[/tex]) = 150
- Number of blemished tomatoes in the sample ([tex]\( x \)[/tex]) = 8
- Sample proportion ([tex]\( \hat{p} \)[/tex]) is calculated as:
[tex]\[
\hat{p} = \frac{x}{n} = \frac{8}{150} = 0.0533
\][/tex]
2. Population Proportion ([tex]\( p \)[/tex]):
- The population proportion given is [tex]\( p = 0.04 \)[/tex].
3. Large Counts Condition:
- This condition is fulfilled if both [tex]\( np > 10 \)[/tex] and [tex]\( n(1-p) > 10 \)[/tex].
- Check if [tex]\( np > 10 \)[/tex]:
[tex]\[
np = 150 \times 0.04 = 6
\][/tex]
Since 6 is not greater than 10, this condition is violated.
- Check if [tex]\( n(1-p) > 10 \)[/tex]:
[tex]\[
n(1-p) = 150 \times (1 - 0.04) = 150 \times 0.96 = 144
\][/tex]
Since 144 is greater than 10, this part of the condition is satisfied.
4. Random Sample:
- The sample is described as an SRS (Simple Random Sample) of the truckload, suggesting that the sample is random. This condition is assumed to be satisfied.
5. 10% Condition:
- The sample size must be less than 10% of the population for this condition to be satisfied.
- Population size = 2700 tomatoes
- Calculate 10% of the population:
[tex]\[
0.10 \times 2700 = 270
\][/tex]
Since the sample size of 150 is less than 270, this condition is satisfied.
Based on these checks, the violation occurs with the large counts condition for [tex]\( np \)[/tex] since it is not greater than 10. Therefore, this assumption is violated.