A simple random sample of 400 households is taken in a large city, and the number of cars in each sampled household is noted. The average number of cars in the sampled households is 1.8 and the SD is 1.3. Among the sampled households, 10% had no car. An approximate 99% confidence interval for the percent of city households that have no car goes from _____________________% to ______________________%.

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A simple random sample of 400 households is taken in a large city, and the number of cars in each sampled household is noted. The average number of cars in the sampled households is 1.8 and the SD is 1.3. Among the sampled households, 10% had no car. An approximate 99% confidence interval for the percent of city households that have no car goes from _____________________% to ______________________%.

Sampling and Data
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At vero eos et accusamus et iusto odio dignissimos ducimus qui blanditiis praesentium voluptatum deleniti atque corrupti quos dolores et quas molestias excepturi sint occaecati cupiditate non provident, similique sunt in culpa qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio. Nam libero tempore, cum soluta nobis est eligendi optio cumque nihil impedit quo minus id quod maxime placeat facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat.

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you have the interval from -2.575 to +2.575
(this is not the answer). in this interval you have the 99% of city households that have no car
10% have no car, so =40

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Other answers:

I don't understand what you wrote... Let's see: if we go with 10% to the "SticiGui", we get -1.28, isn't it? But the problem here now is that we are considering percent intervals, not value intervals. So how can we calculate them? (%1,%2)
@asjara i do not know. I am thinking about... nice approach. 10% is -+ 0.126 Isnt it?
1st part answer is 1.6934 to 1.9064.

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