Are Humans Like Random Number Generators? (Example 3) One of the authors collected data from a class to see whether humans made selections randomly, as a random number generator would. Each of 38 students had to pick an integer from one to five. The data are summarized in the table. A true random number generator would create roughly equal numbers of all five integers. Do a goodness-of-fit analysis to test the hypothesis that humans are not like random number generators. Use a significance level of 0.05 , and assume these data were from a random sample of students. See page 552 for guidance .
Are Humans Like Random Number Generators? (Example 3) One of the authors collected data from a class to see whether humans made selections randomly, as a random number generator would. Each of 38 students had to pick an integer from one to five. The data are summarized in the table. A true random number generator would create roughly equal numbers of all five integers. Do a goodness-of-fit analysis to test the hypothesis that humans are not like random number generators. Use a significance level of 0.05 , and assume these data were from a random sample of students. See page 552 for guidance .
Solution Summary: The author explains that the chi-square goodness-of-fit test is the most appropriate test to perform the analysis.
Are Humans Like Random Number Generators? (Example 3) One of the authors collected data from a class to see whether humans made selections randomly, as a random number generator would. Each of 38 students had to pick an integer from one to five. The data are summarized in the table.
A true random number generator would create roughly equal numbers of all five integers. Do a goodness-of-fit analysis to test the hypothesis that humans are not like random number generators. Use a significance level of
0.05
, and assume these data were from a random sample of students. See page 552 for guidance.
Elementary Statistics ( 3rd International Edition ) Isbn:9781260092561
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