Concept explainers
In the past few weeks people have been arguing on the social media forum https://www.reddit.com/r/ontario/ about whether the COVID-19 situation in Ontario was improving or getting worse. Some users call those who focused on high spikes in new cases "doomers" (as in "ok doomer") such as the 460 new cases on Sunday May 24. Recently the numbers of new cases have gone down to 287 on Tuesday the 26th and 292 for Wednesday the 27th.
Date |
# of New Cases |
27-May |
292 |
26-May |
287 |
25-May |
404 |
24-May |
460 |
23-May |
412 |
22-May |
441 |
21-May |
413 |
Data from https://data.ontario.ca/dataset/status-of-covid-19-cases-in-ontario,
more easily-visible on https://news.google.com/covid19/map?hl=en-CA&gl=CA&ceid=CA%3Aen&mid=%2Fm%2F05kr_.
You will be answering the following questions about this data:
- What is the
mean number of new cases of COVID-19 in Ontario over the 7 day period indicated? - What is the standard deviation for these cases?
- What is the z-score for the data from May 26?
- What is the z-score for the data from May 24?
- Which of these two data values (the lowest value on May 26 or the highest value on May 24) represents the most significant difference from the recent average number of new cases?
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