A researcher is interested in the whether the number of times each week people exercise differs between Canadians and British people. To test this, she asks 1000 people (500 Canadians and 500 British) how often they exercise a week. Given the preceding experimental description, what is the most appropriate statistical test to use?a. an ANOVAb. at-testc. a correlation d. a Chi Squared

t test

Step-by-step explanation:

given that a researcher is interested in the whether the number of times each week people exercise differs between Canadians and British people

To test this, she asks 1000 people (500 Canadians and 500 British)

Here two groups are being compared

500 people taken from each group is sufficiently large and assuming random sampling, we can say that these 500 represent the population they belong to.

For comparing two groups to find whether there is significant difference in the number of times each week people exercise differs between Canadians and British people, appropriate test would be a t test.

Since population std deviations for the two samples are now known we use sample std deviation and hence do t test for comparison of two population means.

answer: the 4 kilogram bag

step-by-step explanation: this is because if you divide the number of kilograms into the total it will tell you how much each individual kilogram would be worth. 2 kilos is 7 and change 3 would be around 6 ish and the 4 kilo would be 4.6 and change and the 5 kilos would be like 4.88

6^2 or 36

step-by-step explanation:

6000n

6×1000n

6×10^3 n

so we need 6n need to be a perfect cube

so n has to be 6^2 so that 6n is 6^3

what i'm saying is if you let n be 6^2 you have 6^3×10^3 or 60^3 which is a perfect cube