For this discussion, you will collect data from a public source and calculatedescriptive statistics, including measures of central tendency and variability. Youwill then interpret the results and provide feedback to your peers.In your initial post, use the World Temperatures website (or a similar website ofyour choice) to find the daily maximum temperature data rounded to the nearestinteger (whole number) in your city or zip code for the past fourteen days. You willuse this data set to calculate measures of central tendency and variability. You willalso provide a detailed analysis based on your results.In your initial post, address the following items:1. Share your data set. See Step 1 in the Python script.2. What were your descriptive statistics for this data set? Report the mean,median, variance, and standard deviation. Based on these statistics, whatcan you say about the distribution of daily maximum temperature in yourcity or zip code? Use all of the statistics that you calculated to explain thedistribution in detail. See Step 2 in the Python script.3. Which graph showed the general trend of daily maximum temperature inyour city or zip code? See Step 3 in the Python script.4. In general, how are the measures of central tendency and variability used toanalyze a data distribution?5. The Python script also provides you with temperature data for a city calledZion. Which graph showed the difference in the distribution of your dataand Zion's data? What can you say about the differences in datadistributions? See Step 4 in the Python script.6. Your graphs will not show up in your html document when attached to yourdiscussion board post. Please embed them in your posts by right clicking onthe graph while in your Python script, select "save image as", save it andthen attach to your discussion board post using the camera icon in themenu bar.In your follow-up posts to other students, review your peers' data sets andstatistics and discuss the significance of these results. Here are some questionsthat you should address in your follow-up posts:1. How do your peers' measures of central tendency compare to yours? Arethey are lower or higher? What does this signify?2. How do the measures of variability compare? What does this signify?3. In what ways are their data similar to or different from your own? Why arethose similarities or distinctions meaningful?Remember to attach your Python output and respond to all questions in yourinitial and follow-up posts. Be sure to clearly communicate your ideas usingappropriate terminology. Finally, be sure to review the Discussion Rubric tounderstand how you will be graded on this assignment.Rubrics

Question

For this discussion, you will collect data from a public source and calculatedescriptive statistics, including measures of central tendency and variability. Youwill then interpret the results and provide feedback to your peers.In your initial post, use the World Temperatures website (or a similar website ofyour choice) to find the daily maximum temperature data rounded to the nearestinteger (whole number) in your city or zip code for the past fourteen days. You willuse this data set to calculate measures of central tendency and variability. You willalso provide a detailed analysis based on your results.In your initial post, address the following items:1. Share your data set. See Step 1 in the Python script.2. What were your descriptive statistics for this data set? Report the mean,median, variance, and standard deviation. Based on these statistics, whatcan you say about the distribution of daily maximum temperature in yourcity or zip code? Use all of the statistics that you calculated to explain thedistribution in detail. See Step 2 in the Python script.3. Which graph showed the general trend of daily maximum temperature inyour city or zip code? See Step 3 in the Python script.4. In general, how are the measures of central tendency and variability used toanalyze a data distribution?5. The Python script also provides you with temperature data for a city calledZion. Which graph showed the difference in the distribution of your dataand Zion's data? What can you say about the differences in datadistributions? See Step 4 in the Python script.6. Your graphs will not show up in your html document when attached to yourdiscussion board post. Please embed them in your posts by right clicking onthe graph while in your Python script, select &#34;save image as&#34;, save it andthen attach to your discussion board post using the camera icon in themenu bar.In your follow-up posts to other students, review your peers' data sets andstatistics and discuss the significance of these results. Here are some questionsthat you should address in your follow-up posts:1. How do your peers' measures of central tendency compare to yours? Arethey are lower or higher? What does this signify?2. How do the measures of variability compare? What does this signify?3. In what ways are their data similar to or different from your own? Why arethose similarities or distinctions meaningful?Remember to attach your Python output and respond to all questions in yourinitial and follow-up posts. Be sure to clearly communicate your ideas usingappropriate terminology. Finally, be sure to review the Discussion Rubric tounderstand how you will be graded on this assignment.Rubrics

Accepted Answer

Dataset is considered from the Daily Temperatures of major cities.

Region

Country

State…