Respuesta :
Answer:
1. Can be Paired or Not Paired
2. Paired
3. Not Paired
Step-by-step explanation:
Two sets of observations are paired if each observation in one set has a special correspondence or connection with exactly one observation in the other data set.
1. Can be Paired or Not paired
Reason -
We might look at testing the difference of means using a two sample t-test. However, we may also try running a paired t-test.
But its used in cases where the observations are usually from the same populations at different times or through different sources etc.
Hence can't conclude that it is paired or not paired.
2. Paired
Reason -
Each record is a price of the same item from different stores.
3. Not paired
Reason -
This is again a case of testing the difference of means of two-samples (2 independent samples precisely) that are not paired.
1. Can't conclude paired or not paired
2. Paired
3. Not Paired
What do you mean by paired or unpaired?
Two sets of observations are said to be paired if each observation in one data set has a specific connection with exactly one observation in the other data set otherwise it is unpaired.
1. Can't conclude paired or not paired because It may look at testing the difference of means using a two-sample test, But it's used in cases where the observations are from the same populations at different times or through various sources, etc.
2. Paired because each item is the price of the same item from different stores.
3. Not paired because in this case of testing the difference of means of two independent samples that are not paired.
Learn more about paired and unpaired:
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