Volumes of soda (oz) 70 The data table to the right represents the volumes of a generic soda brand. 80 65 Complete parts (a) and (b) below. 75 65 70 70 80 50 65 75 75 70 85 a. Which plot represents a dotplot of the data? O A. OB. В. 50 60 70 80 90 50 60 70 80 90 Volumes of soda (oz) Volumes of soda (oz) Oc. OD. 50 60 70 80 90 50 60 70 80 90 Volumes of soda (oz) Volumes of soda (oz) b. Are there any outliers? O A. Yes, the volume of 50 oz appears to be an outlier because it is far away from the other volumes. O B. Yes, the volume of 70 oz appears to be an outlier because many sodas had this as their volume. Oc. Yes, the volumes of 0 oz and 200 oz appear to be outliers because they are far away from the other temperatures. D. No, there do not appear to be any outliers.
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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