Amy is a pharmacology researcher studying the efficacy of a drug on groups of people based on their levels of physical activity (high, moderate, and low). She is comparing the number of doses it takes for patients to report fewer symptoms. She creates a scatterplot of the mean number of symptoms compared to the number of doses patients take. The scatterplot with lines of best fit is shown below. What should she infer from the information provided? 10 Low Moderate High 2 4 6 10 12 Number of Doses O The high and low activity groups saw the most positive effects. O The high activity group does not need to use the drug at all, but the moderate activity group received the most positive effect. O The drug helped the high activity group to report the fewest symptoms, but they also reported the fewest initial symptoms. O The low and high activity groups saw the most positive effects. Mean Number of Symptoms Reported
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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