Consider a drug that is used to help prevent blood clots in certain patients. In clinical trials, among 6103 patients treated with this drug, 151 developed the adverse reaction of nausea. Use a 0.05 significance level to test the claim that 3% of users develop nausea. Does nausea appear to be a problematic adverse reaction? OC. Họ: p= 0.03 H:p>0.03 D. Họ: p=0.03 H4:p#0.03 Identify the test statistic for this hypothesis test. The test statistic for this hypothesis test is - 2.43. (Round to two decimal places as needed.) Identify the P-value for this hypothesis test. The P-value for this hypothesis test is 0.015 (Round to three decimal places as needed.) Identify the conclusion for this hypothesis test. O A. Reject Ho. There is not sufficient evidence to warrant rejection of the claim that 3% of users develop nausea. O B. Fail to reject Ho. There is sufficient evidence warrant rejection of the claim that 3% of users develop nausea. O C. Fail to reject Ho. There is not sufficient evidence to warrant rejection of the claim that 3% of users develop nausea. D. Reject Hn. There is sufficient evidence to warrant rejection of the claim that 3% of users develop nausea. Does nausea appear to be a problematic adverse reaction? Since the rate of nausea appears to be relatively v a problematic adverse reaction. Click to select your answer(s) and then click CI low,
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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