When finding the margin of error for the mean of a normally distributed population from a sample, what is the critical probability, assuming a confidence level of 58%? 0. 21 0. 42 0. 58 0. 79.

Respuesta :

Critical probability is the essentially cut-off value. The critical probability when the confidence level of 58% is 0.79.

What is the critical probability?

Critical probability is the essentially cut-off value that defines the region where the test statistic is unlikely to lie.

As it is given that the confidence level is 58%. therefore, in order to calculate the critical probability, we need to calculate the margin of error within a set of data, and  it is given by the formula

[tex]\rm Critical\ Probability, (P*) = 1-\dfrac{\alpha }{2}[/tex]

where the value of the α is expressed as,

[tex]\alpha= 1 -\dfrac{\rm Confidence\ interval}{100}[/tex]

Now, as the confidence interval is given to us, therefore, the value of the alpha can be written as,

[tex]\alpha= 1 -\dfrac{\rm 58\%}{100} = 0.42[/tex]

Further, the critical probability, assuming a confidence level of 58% is,

[tex]\rm Critical\ Probability, (P*) = 1-\dfrac{\alpha }{2}\\\\\rm Critical\ Probability, (P*) = 1-\dfrac{0.42}{2} = 0.79[/tex]

Hence, the critical probability is 0.79.

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