Unit 2
Answer the following:
The beggarly temperature for the ages of July in Boston, Massachusetts is 73 degrees Fahrenheit. Plot the afterward data, which represent the empiric beggarly temperature in Boston over the aftermost 20 years:
1998 72
1999 69
2000 78
2001 70
2002 67
2003 74
2004 73
2005 65
2006 77
2007 71
2008 75
2009 68
2010 72
2011 77
2012 65
2013 79
2014 77
2015 78
2016 72
2017 74
Is this a accustomed distribution? Explain your reasoning.
What is an outlier? Are there any outliers in this distribution? Explain your acumen fully.
Using the aloft data, what is the anticipation that the beggarly will be over 76 in any accustomed July?
Using the aloft data, what is the anticipation that the beggarly will be over 80 in any accustomed July?
A heatwave is authentic as 3 or added canicule in a row with a aerial temperature over 90 degrees Fahrenheit. Accustomed the afterward aerial temperatures recorded over a aeon of 20 days, what is the anticipation that there will be a heatwave in the abutting 10 days?
Day 1 93
Day 2 88
Day 3 91
Day 4 86
Day 5 92
Day 6 91
Day 7 90
Day 8 88
Day 9 85
Day 10 91
Day 11 84
Day 12 86
Day 13 85
Day 14 90
Day 15 92
Day 16 89
Day 17 88
Day 18 90
Day 19 88
Day 20 90
Customer surveys acknowledge that 40% of barter acquirement articles online against in the concrete abundance location. Suppose that this business makes 12 sales in a accustomed day
Does this bearings fit the ambit for a binomial distribution? Explain why or why not?
Find the anticipation of the 12 sales on a accustomed day absolutely 4 are fabricated online
Find the anticipation of the 12 sales beneath than 6 are fabricated online
Find the anticipation of the 12 sales added than 8 are fabricated online
Your own example:
Choose a aggregation that you accept afresh apparent in the account because it is accepting some array of botheration or scandal, and complete the following:
Discuss the situation, and call how the aggregation could use distributions and anticipation statistics to apprentice added about how the aspersion could affect its business.
If you were a business analyst for the company, what analysis would you appetite to do, and what affectionate of abstracts would you appetite to aggregate to actualize a distribution?
Would this be a standard, binomial, or Poisson distribution? Why?
List and altercate at atomic 3 questions that you would appetite to actualize probabilities for (e.g., What is the adventitious that the aggregation loses 10% of its barter in the abutting year?).
What would you achievement to apprentice from artful these probabilities?
Assuming that high administration does not see the amount in expending the time and money all-important to aggregate abstracts to analyze, accomplish an altercation (at atomic 100 words) acceptable them that the amount is all-important and answer some dangers the aggregation could face by not alive what the abstracts predict.
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