Apoll conducted in 2013 found that 52% of u. s. adult twitter users get at least some news on twitter.40. the standard error for this estimate was 2.4%, and a normal distribution may be used to model the sample proportion. construct a 99% confidence interval for the fraction of u. s. adult twitter users who get some news on twitter, and interpret the confidence interval in context.

For 99% confidence level, the interval will be (0.4582, 0.5818).

It can be interpreted as "45.82% to 58.18% of US adult will get information from twitter with a confidence of 99%".

Given information:

52% or 0.52 fraction of US adult twitter users get at least some news on twitter. It is the sample population in fractions.

The standard error is 2.4% or 0.024 fraction.

Normal distribution may be used to model the sample proportion.

Now, for 99% confidence level, the interval for the fraction of US adult who get some news on twitter will be,

Therefore, for 99% confidence level, the interval will be (0.4582, 0.5818).

It can be interpreted as "45.82% to 58.18% of US adult will get information from twitter with a confidence of 99%".

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