Suppose the following data are product weights for the same items produced on two different production lines. Line 1 Line 2 13.1 13.4 13.9 14.7 14.0 14.6 13.5 14.0 13.3 14.1 13.6 13.2 13.8 14.3 13.1 14.9 12.5 14.2 14.3 14.8 15.0 14.5 A. Test for a difference between the product weights for the two lines. Use α = 0.05. State the null and alternative hypotheses. 1. H0: The two populations of product weights are identical. Ha: The two populations of product weights are not identical. 2. H0: Median for line 1 − Median for line 2 ≤ 0 Ha: Median for line 1 − Median for line 2 > 0 3. H0: Median for line 1 − Median for line 2 < 0 Ha: Median for line 1 − Median for line 2 = 0 4. H0: The two populations of product weights are not identical. Ha: The two populations of product weights are identical. 5. H0: Median for line 1 − Median for line 2 ≥ 0 Ha: Median for line 1 − Median for line 2 < 0 B. Find the value of the test statistic. W = Find the p-value. (Round your answer to four decimal places.) p-value = C. State your conclusion. 1. Reject H0. There is not sufficient evidence to conclude that there is a significant difference between the product weights for the two lines. 2. Do not reject H0. There is sufficient evidence to conclude that there is a significant difference between the product weights for the two lines. 3. Reject H0. There is sufficient evidence to conclude that there is a significant difference between the product weights for the two lines. 4. Do not reject H0. There is not sufficient evidence to conclude that there is a significant difference between the product weights for the two lines.
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.
Line 1 | Line 2 |
---|---|
13.1 | 13.4 |
13.9 | 14.7 |
14.0 | 14.6 |
13.5 | 14.0 |
13.3 | 14.1 |
13.6 | 13.2 |
13.8 | 14.3 |
13.1 | 14.9 |
12.5 | 14.2 |
14.3 | 14.8 |
15.0 | |
14.5 |
Ha: The two populations of product weights are not identical.
Ha: Median for line 1 − Median for line 2 > 0
Ha: Median for line 1 − Median for line 2 = 0
Ha: The two populations of product weights are identical.
Ha: Median for line 1 − Median for line 2 < 0
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