According to the Carnegie unit system, the recommended number of hours students should study per unit is 2. Are statistics students' study hours less than the recommended number of hours per unit? The data show the results of a survey of 15 statistics students who were asked how many hours per unit they studied. Assume a normal distribution for the population. 0, 1.9, 0.2, 2.1, 0, 2.4, 1.5, 2.6, 0, 3.4, 2.5, 0.1, 2.7, 2.7, 1.1 What can be concluded at the a = 0.10 level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho: ? Select an answerv H1: ?v Select an answerv |(please show your answer to 3 decimal places.) (Please show your answer to 4 decimal places.) c. The test statistic ?v = d. The p-value = e. The p-value is ?~ a f. Based on this, we should Select an answerv the null hypothesis. g. Thus, the final conclusion is that ... O The data suggest the population mean is not significantly less than 2 at a = 0.10, so there is sufficient evidence to conclude that the population mean study time per unit for statistics students is equal to 2. O The data suggest the populaton mean is significantly less than 2 at a = 0.10, so there is sufficient evidence to conclude that the population mean study time per unit for statistics students is less than 2. O The data suggest that the population mean study time per unit for statistics students is not significantly less than 2 at a = 0.10, so there is insufficient evidence to conclude that the population mean study time per unit for statistics students is less than 2.
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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