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Answer :
Final answer:
The 'Large Counts' assumption for np > 10 is violated when a farmer inspects a random sample of 150 tomatoes and finds 8 with blemishes, since the value of np is only 6, not greater than 10.
Explanation:
The question from the student involves determining if any inference about a proportion assumptions are violated when a farmer checks for blemishes on his tomatoes. The assumptions checked are based on a set of conditions necessary for valid statistical testing of proportions.
- Large Counts: The np and n(1-p) should both be greater than 10 for the normal approximation to be reliable.
- A sample should be a random sample from the population.
- The 10% condition states the sample size must be less than 10% of the population in order to avoid dependence within the sampling process.
Given that the farmer has a simple random sample (SRS) of 150 tomatoes, and only 8 tomatoes have blemishes, we calculate np and n(1-p) as follows:
- np = 150 * 0.04 = 6
- n(1-p) = 150 * (1 - 0.04) = 150 * 0.96 = 144
A violation is found in the 'Large Counts' condition for np, as np should be greater than 10 but is only 6 in this case. Thus, answer choice (a) is the correct assumption that is violated.
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Rewritten by : Barada
Answer:
Assumption A is violated
Step-by-step explanation:
x = number of blemishes = 8
n = sample size = 150
proportion = x/n = 8/150 = 0.0533
1. large counts: np> 10
= 150 * 0.0533 >10
= 7.995 > 10
this assumpton is obviously violated. 7.995 is not greater than 10
2. Large Counts: n(1 - p) > 10
150(1-0.0533)>10
150-7.995 > 10
142.005> 10
there is no violation. The assumption is satisfied
3. This assumption is satisfied. this is because the tomatoes were selected using simple random sampling.
4. 10% of the population = 0.1 * 2000 = 200
the sample size = 150
150 < 200
this assumption is satisfied