Park officials make predictions of times to the next eruption of a particular geyser, and collect data for the errors (minutes) in those predictions. The display from technology available below results from using the prediction errors to test the claim that the mean prediction error is equal to zero. Comment on the accuracy of the predictions. Use a 0.05 significance level. Identify the null and alternative hypotheses, test statistic, P-value, and state the final conclusion that addresses the original claim. Click the icon to view the display from technology. ..... Assuming all conditions for conducting a hypothesis test are met, what are the null and alternative hypotheses? O A. Ho: µ<0 minutes O B. Ho: H=0 minutes H,: µ=0 minutes H1:µ<0 minutes O C. Ho:H= 0 minutes O D. Ho: µ= 0 minutes H: µ>0 minutes H1:µ#0 minutes Identify the test statistic. (Round to two decimal places as needed.) Identify the P-value. |(Round to three decimal places as needed.) State the final conclusion that addresses the original claim. Ho. There is evidence to conclude that the mean prediction error is equal to zero correct. There is in the mean prediction.
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.
note for drop downs in last question:
>> (fail to reject, reject) H0. There is >> (sufficient, not sufficient) evidence...
...equal to zero >> (is, is not) correct. There is >> (some error, no error) in the mean prediction.
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