Ose the given dala set to complete parts (a) through (C) below. 10 8 13 9 11 14 6 4 12 7 y 7.46 6.77 12.75 7.12 7.81 8.83 6.08 5.39 8.15 6.43 5.74 Click here to view a table of critical values for the correlation coefficient. a. Construct a scatterplot. Choose the correct graph below. O A. В. Oc. OD. 16+ Ay 16- Ay 16- Ay 16- 12- 12- 12- 12- 8- 8- 8- 8- 4- 4- 4- 4- 0- 4 8 12 16 0- 4 8 12 16 0- 0- 4 8 12 16 4 8 12 16 b. Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. The linear correlation coefficient is r=. (Round to three decimal places as needed.)
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.

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