Atraffic consultant wants to estimate the proportion of cars on a certain street that have more than two occupants. She stands at the side of the road for two hours on a weekday afternoon and flips a coin each time a car approaches. If the coin comes up heads, she counts the number of occupants in the car. After two hours, she has counted 103 cars, 15 of which has more than two occupants. Which condition for constructing a confidence interval for a proportion has she failed to satisfy? O The sample is less than 10% of the population. O The data is an SRS from the population of interest. O np 2 10 On2 30 O n(1 – p) 2 10 Next

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A traffic consultant wants to estimate the proportion of cars on a certain street that have more than two occupants. She stands at the side of the road for two hours
on a weekday afternoon and flips a coin each time a car approaches. If the coin comes up heads, she counts the number of occupants in the car. After two hours, she
has counted 103 cars, 15 of which has more than two occupants. Which condition for constructing a confidence interval for a proportion has she failed to satisfy?
O The sample is less than 10% of the population.
O The data is an SRS from the population of interest.
O np 2 10
On> 30
O n(1 – p) 2 10
Next
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SCN
M3
Transcribed Image Text:A traffic consultant wants to estimate the proportion of cars on a certain street that have more than two occupants. She stands at the side of the road for two hours on a weekday afternoon and flips a coin each time a car approaches. If the coin comes up heads, she counts the number of occupants in the car. After two hours, she has counted 103 cars, 15 of which has more than two occupants. Which condition for constructing a confidence interval for a proportion has she failed to satisfy? O The sample is less than 10% of the population. O The data is an SRS from the population of interest. O np 2 10 On> 30 O n(1 – p) 2 10 Next Not saved Submit Quiz PRT SCN M3
Expert Solution
Step 1
The conditions we need for inference on one proportion are:
  • Random: The data needs to come from a random sample or randomized experiment.
  • Normal: The sampling distribution of , needs to be approximately normal — needs at least expected successes and expected failures.
  • Independent: Individual observations need to be independent. If sampling without replacement, our sample size shouldn't be more than  of the population.

Explanation:

The condition that the traffic consultant failed satisfied was, the data should be a simple random sample.

Here, the data is collected according to the convenience of the traffic consultant and it is not a SRS data.

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