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.

The point estimate of the difference between population proportions is .

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 (µ) is the sample mean ().

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 (p) is the sample proportion   ().

So, the point estimate of the difference between population proportions (p₁ and p₂) is,

Point estimate of (p₁ - p₂) = .

Thus, the point estimate of the difference between population proportions is .

to find the unit price, we must figure out the cost of one item (in this case one dish towel).   to do this, we divide the total price ($7.92) by the number of items bought (for this problem it is 8, because there are eight dish towels in one pack).  

$7.92/8 = $0.99

therefore, the unit price, or the price of one dish towel, is $0.99.

hope this !