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lina2011 [118]
3 years ago
11

In a Gallup poll, 1025 randomly selected adults were surveyed and 57% of them said that they used the Internet for shopping at l

east a few times a year. Construct a 99% confidence interval for the true proportion of adults who use the Internet for shopping.
Mathematics
2 answers:
LiRa [457]3 years ago
6 0
Confidence interval = p+/- standard error

Where;
p = percentage of he population using internet = 57% = 0.57
Standard error = Z*Sqrt [p(1-p)/N)]; where N = sample size = 1025, Z at 99% confidence = 2.58

Substituting;
Standard error = 2.58*Sqrt [0.57(1-0.57)/1025] ≈ 0.04

Then,
Confidence interval for the true population using the internet = 0.57 +/- 0.04 = [(0.57-0.04),(0.57+0.04)] = [0.53,0.61] = [53%, 61%].
Oksi-84 [34.3K]3 years ago
3 0

The 99\% confidence interval for the true proportion of adults who use the Internet for shopping is \left( {0.53,0.61} \right).

Further Explanation:

Proportion of true mean follows normal distribution with mean np and variance np(1-p).

\boxed{p \sim N\left( {np,np\left( {1 - p} \right)} \right)}

Confidence interval of proportion of mean can be expressed as,

{\text{Confidence interval}} = \left( {p - {\text{ME}},p + {\text{ME}}} \right)

Given:

The total number of adults selected is 1025.

57\% of adults use internet for shopping from 1025 adults.

p = 0.57

Calculation:

The level of significance is 1\%.

The value of {Z_{0.5\% }} is 2.58 that can be obtained from the standard normal table.

The formula for margin of error is,

\boxed{{\text{ME}} = {Z_{\frac{\alpha }{2}}} \times \sqrt {\frac{{p\left( {1 - p} \right)}}{n}} }

The margin of error can be obtained as,

\begin{aligned} {\text{ME}} &= 2.58 \times \sqrt {\frac{{0.57\left( {1 - 0.57} \right)}}{{1025}}}  \\  &= 2.58 \times \sqrt {\frac{{0.57 \times 0.43}}{{1025}}}  \\   &= 0.04 \\ \end{aligned}

The confidence interval can be obtained as,

\begin{aligned}  {\text{Confidence interval}} &= \left( {0.57 - 0.04,0.57 + 0.04} \right) \\  &= \left( {0.53,0.61} \right) \\ \end{aligned}

The 99\% confidence interval for the true proportion of adults who use the Internet for shopping is \left( {0.53,0.61} \right).

Learn more:

1. Learn more about normal distribution brainly.com/question/12698949

2. Learn more about standard normal distribution brainly.com/question/13006989

3. Learn more about confidence interval of mean brainly.com/question/12986589

Answer details:

Grade: College

Subject: Statistics

Chapter: Confidence Interval

Keywords: Z-score, Z-value, binomial distribution, standard normal distribution, standard deviation, criminologist, test, measure, probability, low score, mean, repeating, indicated, normal distribution, percentile, percentage, undesirable behavior, proportion, empirical rule.

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As the set of all singletons, 1 is also THE element that represents the set of all single entities.

That is to say: if you have 7 erasers. What you really have is a set of 7 single entities. The definition of 7 becomes: 1 + 1 + 1 + 1 + 1 + 1 + 1; and not as is commonly believed as: 6 + 1.

There is an argument for 7 to be defined as 6 + 1, but this argument is a corollary of the Peano Axioms which in turn argues that there exists a set with absolutely nothing in it {} and a set with exactly something in it {x}. More on this later.

The Principia Mathematica uses Peano's (from the Peano Axioms mentioned earlier) work and notation to expertly slice through the many nuances pertaining to this question.

This is something we will not do; but hopefully, we will also be able to effectively demonstrate why 1 + 1 = 2 in less than 1000 pages.

We will assume these basic principles of number theory:

There exists a number such that when multiplied to an element of a specific set, yields that element of the specific set.

There exists a number such that when added to an element of a specific set, yields that element of the specific set.

If we again assume to have only two sets, a set that is empty: {} containing no elements, and a set that is not empty {x} containing an element. We realize that Consequently, we went from nothing {}, to something {x}. This means that {x} is the successor to {}, as the next step up from nothing, is something.

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in written notation we have:

{} and { the Successor of nothing }

Rewritten:

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Further reworded:

{0, Successor (0) }

Reduced further:

0,(0)

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{0, Successor of 0, the successor of the successor of 0, the successor of the successor of the successor of 0,…}

Further reduced:

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Further explained:

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Nothing + Something = Successor of nothing.

0+__=(0)

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0+(0)=(0)

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