Explain how to find the critical values for a t-distribution. Click the icon to view the t-distribution table. Give the first step. Choose the correct answer below. O A. Identify the level of significance 1-a and the degrees of freodom, d.f. = n. B. Identify the level of significance a and the degrees of freedom, d.f. =n-1. Oc. dentify the level of significance and the degrees of freedom, d.f. =n- 1. D. Identify the level of significance and the degrees of freedom, d.f. =n. Find the critical value(s) using the given t-distribution table in the row with the correct degrees of freedom. If the hypothesis test is left-tailed, use the column with a sign. If the hypothesis test is right-tailed, use the sign. column with a If the hypothesis test is two-tailed, use the column with a sign.

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Inverse Normal Distribution

The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.

Mean, Median, Mode

It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.

Z-Scores

A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.