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OleMash [197]
4 years ago
7

Random samples of people in Canada and people in Sweden are used to estimate the difference between the two countries in the pro

portion of people who have seen a hockey game (at any level) in the past year. Let group 1 be people from Canada and group 2 be people from Sweden.
Mathematics
1 answer:
Phoenix [80]4 years ago
8 0

Answer:

The point estimate of the difference between population proportions is \hat p_{1}-\hat p_{2}.

Step-by-step explanation:

The complete question is:

Random samples of people in Canada and people in Sweden are used to estimate the difference between the two countries in the proportion of people who have seen a hockey game (at any level) in the past year.

Let group 1 be people from Canada and group 2 be people from Sweden.

Give notation for the quantity that gives the best estimate. Your answer should be an expression composed of symbols:.

Solution:

In statistic, point estimation comprises of the use of sample data to estimate a distinct data value (known as a point estimate) which is to function as a "best guess" or "best estimate" of an unidentified population parameter.  

The point estimate of the population mean (<em>µ</em>) is the sample mean (\bar x).

In this case, we need to estimate the difference between the two countries in the proportion of people who have seen a hockey game in the past year.

So, the parameter to be estimated is the difference between the two proportions.

It is provided that:

1 : people from Canada

2 : people from Sweden

The point estimate of a population proportion (<em>p</em>) is the sample proportion   (\hat p).

So, the point estimate of the difference between population proportions (<em>p</em>₁ and <em>p</em>₂) is,

Point estimate of (<em>p</em>₁ - <em>p</em>₂) = \hat p_{1}-\hat p_{2}.

Thus, the point estimate of the difference between population proportions is \hat p_{1}-\hat p_{2}.

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Answer:

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Step-by-step explanation:

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We use the conditional probability formula to solve this question. It is

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In this question:

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