Determine whether the results appear to have statistical? significance, and also
ID: 2946551 • Letter: D
Question
Determine whether the results appear to have statistical? significance, and also determine whether the results appear to have practical significance. In a study of a gender selection method used to increase the likelihood of a baby being born a? girl, 1903 users of the method gave birth to 936 boys and 967 girls.
There is about a 25?% chance of getting that many girls if the method had no effect. Because there is a 25?% chance of getting that many girls by? chance, the method: has statistical significance , does not have practical significance, does not have statistical significance or has practical significance.
Most/Not Many couples would likely use a procedure that raises the likelihood of a girl from the approximately? 50% rate expected by chance to the ?% produced by this method. ?(Round to the nearest integer as? needed.)
So this method : has statistical significance, does not have practical significance, does not have statistical significance or has practicle significance?
Explanation / Answer
Statistical significance is indicated when methods of statistics are used to reach a conclusion that some treatment or finding is effective, but common sense might suggest that the treatment or finding does not make enough of a difference to justify its use or to be practical. Yes, it is possible for a study to have statistical significance but not practical significance.
Statistical significance: Refers to the unlikelihood that mean differences observed in the sample have occurred due to sampling error. Given a large enough sample, despite seemingly insignificant population differences, one might still find statistical significance.
Practical significance: Looks at whether the difference is large enough to be of value in a practical sense.
(a) Because there is a 25% chance that such results would occur if the method had no effect,it does not appear to have practical significance.
Statistically significant is the likelihood that a relationship between two or more variables is caused by something other than chance.
(b)Because there is a 50% chance of getting such results and Because the likelihood also increase if more than 50% So there is practical significance.
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