Which of the following z statistics has the smallest p value? O - 2.01 1.78 0.50 - 0.23
Which of the following z statistics has the smallest p value? O - 2.01 1.78 0.50 - 0.23
Chapter9: Sequences, Probability And Counting Theory
Section9.7: Probability
Problem 1SE: What term is used to express the likelihood of an event occurring? Are there restrictions on its...
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
Transcribed Image Text:### Question
Which of the following z statistics has the smallest *p* value?
### Options
- ○ - 2.01
- ○ 1.78
- ○ 0.50
- ○ - 0.23
### Explanation
This question is designed to test the understanding of z statistics and *p* values. In statistical hypothesis testing, the *p* value is the probability of obtaining test results at least as extreme as the observed data, assuming that the null hypothesis is true. A smaller *p* value indicates stronger evidence against the null hypothesis.
To find the smallest *p* value, one needs to consider the absolute value of the z statistic because the *p* value is associated with the extremeness of the z score. The larger the absolute value of the z statistic (whether positive or negative), the smaller the *p* value.
In this question, the absolute values of the z statistics are as follows:
- |-2.01| = 2.01
- |1.78| = 1.78
- |0.50| = 0.50
- |-0.23| = 0.23
Therefore, the z statistic with the smallest *p* value is - 2.01, as 2.01 is the largest absolute value among the given options.
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