A medical study was conducted to determine if taking calcium is effective in reducing blood pressure. The results are shown in the table below. Use this information to answer questions 10–16.

STATA
10. How many people does the data represent? (1 point)

11. Find the marginal frequency distributions regarding effectiveness. (2 points)

12. Find the marginal frequency distributions regarding calcium supplement. (2 points)

13. According to the data, what percent of people taking a calcium supplement found it effective in reducing blood pressure? (1 point)

14. According to the data, what percent of people taking a calcium supplement found it not effective in reducing blood pressure? (1 point)

No table given. More data needed.

500 mg calcium supplement daily 1,200 mg calicum supplement daily Total

effective 82 167 249
not effective 137 59 196
Total 219 226 445

500 mg calcium supplement daily 1,200 mg calicum supplement daily Total

effective 82 167 249
not effective 137 59 196
Total 219 226 445

00mg calcium 1200mg calcium

effective 82 167
not effective 137 59

find the marginal frequency distributions regarding effectiveness.

To answer questions 10-14, we need to analyze the given table. Unfortunately, since you mentioned a table, I cannot visualize it as I am a text-based AI model. However, I can guide you on how to extract the required information from the table.

10. To determine the number of people represented in the data, you need to look for a variable/column that indicates individual cases or participants. It could be something like "participants" or "subjects." Once you find that variable, you can count the number of unique values in that column, which will give you the number of people in the study.

11. Marginal frequency distribution refers to the distribution of one variable while ignoring the impact of other variables. In this case, you are asked to find the marginal frequency distribution regarding effectiveness. To do this, you need to identify the column that represents the variable "effectiveness." Once you find that column, you can calculate the frequency of each category (e.g., "effective" and "not effective") and present it as a distribution, either in a table or as percentages.

12. Similarly, to find the marginal frequency distribution regarding calcium supplement, you need to identify the column that represents the variable "calcium supplement." Calculate the frequency of each category (e.g., "taking calcium supplement" and "not taking calcium supplement"), and present it as a distribution, either in a table or as percentages.

13. To determine the percentage of people taking a calcium supplement who found it effective, you need to look for the row or combination of variables where "calcium supplement" is "yes" and "effectiveness" is "effective." Once you have identified these cases, count the number of such cases and divide it by the total number of people taking a calcium supplement. Multiply the result by 100 to convert it into a percentage.

14. To determine the percentage of people taking a calcium supplement who found it not effective, follow the same process as question 13, but count the number of cases where "calcium supplement" is "yes" and "effectiveness" is "not effective." Divide this count by the total number of people taking a calcium supplement and multiply by 100 to get the percentage.

By following these steps, you should be able to answer questions 10-14 using the data from the table provided.