f the soda Data on the weights (Ib) of tne contents of cans of diet soda versus the contents or cans samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. Complete parts (a) and (b) below. Use a 0.05 significance level for both parts. gular version to the nght. Assume Regular P2 n 29 29 0.78219 Ib 0.80564 Ib 0.00442 Ib 0.00756 Ib . Test the claim that the contents cans of diet soda have weights with a mean that is less than the mean for the regular soda. What are the null and alternative hypotheses? OA. Ho: H #P2 O B. Ho: H1 = H2 OC. Ho: H1 = P2 O D. Ho: H1 = P2 H: P2 The test statistic, t, is . (Round two decimal places as needed.) The P-value is (Round three decimal places as needed.) State the conclusion for the test. OA. Fail to reject the null hypothesis. There is sufficient evidence to support the claim that the cans of diet soda have mean weights that are lower than the mean weight for the regular soda. O B. Reject the null hypothesis. There is sufficient evidence o support the claim that the cans of diet soda have mean weights that are lower than the mean weight for the regular soda. OC. Fail to reject the null hypothesis. There is not sufficient evidence to support the claim that the cans of diet soda have mean weights that are lower than the mean weight for the regular soda. O D. Reject the null hypothesis. There is not sufficient evidence to support the claim that the cans of diet soda have mean weights that are lower than the mean weight for the regular soda.
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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