Answered

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Say that a supplier claims they are 99% confident that their products will be in the interval of 50.02 to 50.38. You take samples and find that the 99% confidence interval of what they are sending is 50.01 to 50.39. What conclusion can be made

Sagot :

Answer:

The supplier becomes less accurate than they otherwise would have tried to claim. A further explanation is below.

Step-by-step explanation:

According to the provider, this same width of that same confidence interval would be as follows:

= [tex]50.38 - 50.02[/tex]

= [tex]0.36[/tex]

Depending on the input observed, the width including its confidence interval would be as follows:

= [tex]50.39 - 50.01[/tex]

= [tex]0.38[/tex]

As even the width of that interval again for survey asserted > the width including its confidence interval according to the provider's statement, we could conclude that such is the appropriate reaction.

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