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The Element Mercury Causes Massive Brain Dysfunction, Including Hallucinations and Delusions

question 24

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The element mercury causes massive brain dysfunction, including hallucinations and delusions. A "silver filling" from your dentist is actually 50% to 66% mercury and only 35% silver. The American Dentistry Association (ADA) says that "silver amalgams" are safe. A psychologist wishes to determine whether mercury fillings affect a child's brain functioning. The Coolidge Personality and Neuropsychological Inventory Neuropsychological Dysfunction (ND) scale has 20 questions, such as "My child has learning problems," "My child is hyperactive," and so on. The overall score on the ND scale ranges from 0 (no evidence of brain dysfunction) to 20 (severe brain dysfunction) . The survey is given to parents as they visit a dentist with their child. The number of "silver" fillings is noted, as is the child's gender. For analysis purposes, the children are divided up into whether they have no fillings, one to three fillings, or more than five fillings, and their ND score is noted.  No Fillings  One to Three Fillings  Five or More Fillings  Male  Female  Male  Female  Male  Female 74116171346129201567109151178991712541381412571451814\begin{array} { c c c c c c } \hline { \text { No Fillings } } && { \text { One to Three Fillings } } &&{ \text { Five or More Fillings } } \\\hline \text { Male } & \text { Female } & \text { Male } & \text { Female } & \text { Male } & \text { Female } \\\hline 7 & 4 & 11 & 6 & 17 & 13 \\4 & 6 & 12 & 9 & 20 & 15 \\6 & 7 & 10 & 9 & 15 & 11 \\7 & 8 & 9 & 9 & 17 & 12 \\5 & 4 & 13 & 8 & 14 & 12 \\ 5 & 7 & 14 & 5 & 18 & 14 \\\hline\end{array}
-The sums of squares for gender are


Definitions:

Maximum Allowable Error

The largest error that is considered acceptable in the calculation or measurement process.

Test Statistic

A value calculated from sample data that is used to test a hypothesis in statistics.

Normal

A type of statistical distribution where data is symmetrically distributed around the mean, known as the Gaussian distribution.

Confidence Interval

A range of values derived from sample statistics that is likely to contain the value of an unknown population parameter, with a specified level of confidence.

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