Highlight the on FALSE statement about inferential statistics from the below:
Correct answer: D. The test statistic will yield a high value (suggesting that something remarkable is going on) when there is relatively less information than error and a low value (suggesting that nothing remarkable is going on) when there is more information than error
- A. When we use inferential statistics usually, we have to use a test statistics
- B. Two things influence our judgment about whether a given observation is any sense remarkable (1) the information that something is going on; and (2) the amount of random error in our observations
- C. The statistics we normally psychology contain both an information term and a term, and express one as a ratio of the other
- D. The test statistic will yield a high value (suggesting that something remarkable is going on) when there is relatively less information than error and a low value (suggesting that nothing remarkable is going on) when there is more information than error
Explanation
A test statistic is generally a ratio of systematic information or signal to random error, so it becomes larger when information is greater relative to error. Statement d reverses this relationship and is therefore false.
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