An article appeared in an Australian newspaper. It described a study of academic performance and attention span and reported that the mean time to distraction for teenage boys working on an independent task was 5 minutes. Although the sample size was not given in the article, suppose that this mean was based on a random sample of 50 teenage Australian boys and that the sample standard deviation was 1.7 minutes. Is there convincing evidence that the average attention span for teenage boys is less than 6 minutes? Test the relevant hypotheses using ? = 0.01. (Use a statistical computer package to calculate the P-value. Round your test statistic to two decimal places and your P-value to three decimal places.) t= P-value = State the conclusion in the problem context. Do not reject H0. We do not have convincing evidence that the mean time to distraction for Australian teenage boys is less than 6 minutes.Reject H0. We do not have convincing evidence that the mean time to distraction for Australian teenage boys is less than 6 minutes. Do not reject H0. We have convincing evidence that the mean time to distraction for Australian teenage boys is less than 6 minutes.Reject H0. We have convincing evidence that the mean time to distraction for Australian teenage boys is less than 6 minutes.
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
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