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Answer :
Final answer:
The null hypothesis about the data is that there is no significant difference in weight before and after the 6-week diet intervention. The alternative hypothesis is that there is a significant difference in weight before and after the intervention.
Explanation:
To answer the question, we need to perform the following steps:
- Copy and paste the completed table from the descriptive statistics tab of the chosen dataset.
- Create and insert at least 2 charts that portray the data, such as a bar chart showing the difference between the groups and a box and whisker plot to show variability within samples.
- State the null hypothesis about the data.
- State the alternative hypothesis about the data.
Based on the given information, we can calculate descriptive statistics for the participant weights before and after the 6-week diet intervention. This will involve calculating measures such as the mean, median, mode, range, and standard deviation of the weight loss.
Next, we can create charts to visually represent the data. For example, a bar chart can be used to show the difference between the groups by comparing the weights before and after the intervention. A box and whisker plot can be used to show the variability within the samples.
The null hypothesis about the data could be that there is no significant difference in weight before and after the intervention. This means that the diet intervention has no effect on weight loss.
The alternative hypothesis about the data could be that there is a significant difference in weight before and after the intervention. This means that the diet intervention has an effect on weight loss.
Learn more about descriptive statistics and hypothesis testing here:
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