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oksano4ka [1.4K]
2 years ago
10

In the section describing the survey methods, the report states, “For results based on the total sample of national adults, the

margin of sampling error is ±4 percentage points at the 95% confidence level.” Interpret the meaning of this statement in terms of the poll. Use any statistic given in the report as an example to explain your interpretation.
Mathematics
1 answer:
Arisa [49]2 years ago
3 0

Answer:

The interpretation of that same problem is listed throughout the section below on explanation.

Step-by-step explanation:

Interpretation:

Researchers seem to be confident with 95% that the sample selection standard error seems to be + as well as - 4 percent respectively.

This same margin of sampling error would then decrease from either the mean or average value by four percentage points smaller or even larger, it describes the survey method.

So that the above is the right answer.

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The shaded area is 299.59un^2.

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3 years ago
I did the first one I need help on this that’s all
Alenkasestr [34]

Answer:

m<A = 70 deg

Step-by-step explanation:

The sum of the measures of the angles of a triangle is 180 deg. Add the three measures and set equal to 180. Solve for x. then use the value of x and the expression for m<A to find the measure of angle A.

m<A + m<B + m<C = 180

5x - 25 + 2x + 10 + 3x + 5 = 180

10x - 10 = 180

10x = 190

x = 19

m<A = 5x - 25 = 5(19) - 25 = 95 - 25 = 70

Answer: m<A = 70 deg

6 0
3 years ago
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A manufacturer of processing chips knows that 2\%2%2, percent of its chips are defective in some way. Suppose an inspector rando
kipiarov [429]

The data in the question seems a bit erroneous. I am writing the correct question below:

A manufacturer of processing chips knows that 2%, percent of its chips are defective in some way. Suppose an inspector randomly selects 4 chips for an inspection. Assuming the chips are independent, what is the probability that at least one of the selected chips is defective? Lets break this problem up into smaller pieces to understand the strategy behind solving it.

Answer:

The probability that at least one of the selected chips is defective is 0.0776.

Step-by-step explanation:

The question states that the probability of defective chips is 2% i.e. 0.02. Let p denote the probability of selecting a defective chip so, p = 0.02

An inspector selects 4 chips, which means n=4 and we need to compute the probability that at least one of the selected chips is defective. Let X be the number of defective chips selected. We need to compute P(X≥1) which means either 1, 2, 3 or 4 chips can be defective.

We will use the binomial distribution formula to solve this problem. The formula is:

<u>P(X=x) = ⁿCₓ pˣ qⁿ⁻ˣ</u>

where n = total no. of trials

          p = probability of success

          x = no. of successful trials

          q = probability of failure = 1-p

we have n=4, p=0.02 and q=1-0.02=0.98.

We need to compute P(X≥1) which is equal to:

P(X≥1) = P(X=1) + P(X=2) + P(X=3) + P(X=4)

A shorter method to do this is to use the total probability theorem:

P(X≥1) = 1 - P(X<1)

          = 1 - P(X=0)

          = 1 - ⁴C₀ (0.02)⁰(0.98)⁴⁻⁰

          = 1 - (0.98)⁴

          = 1 - 0.9224

P(X≥1) = 0.0776

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3 years ago
Please help ASAP! giving BRAINLIEST if correct! What is the factorization of the polynomial below?
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Answer:

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splitting the middle term:

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