Application problem:Because this problem involves collecting data, it will be due with the Week 6 homework.

According to the National Weather service, the average number of sunspots during a period of solar maximum is between 140- 220 spots (https://www.weather.gov/news/190504-sun-activity-in-solar-cycle).The attachment contains the average number of sunspots for the years 1700 - 2014. (Data from: https://www.sws.bom.gov.au/Educational/2/3/6 )

For this assignment, access the Helioviewer website (https://helioviewer.org/). There is an interactive tutorial on the website that I recommend you work through if you are not familiar with the controls on the website.We will be analyzing the solar maximum of the years 2000/2001 (sun cycle 23) to determine whether the daily sunspot counts were significantly higher or lower than average.

A.For this assignment, first calculate the mean number of sunspots during solar maximum for the years 1700 - 2014 using the data provided.Also calculate the standard deviation for this dataset.

B.Then, using the helioviewer website, you will choose 10 dates during different months in 2000/2001 and count the total number of active regions.Record your counts for each date in a table.Take a screenshot of each of the dates you observe and be sure to submit the screenshots with your assignment.Include your data table with your submission as well.

[If you would like some practice identifying sunspots using the Helioviewer data, I highly recommend the NOVA Solar Cycle activity:https://www.pbs.org/wgbh/nova/labs/lab/sun/research.This short exercise helps you know what to look for and how to count sunspots accurately. This is an optional helpful activity;it is not part of the assignment and does not have to be turned in.]

C.write null and alternate hypothesis for this problem.

D.Which analysis would be most appropriate:a z test or a t test?Explain your reasoning.

E.Conduct the appropriate analysis.