A previous year, the weights of the members of the San Francisco 49ers and the Dallas Cowboys were published in the San Jose Mercury Ne. The factual data are compiled into Table 3.24. For the following, suppose that you randomly select one player from the 49ers or Cowboys. If having a shirt number from one to 33 and we1g1ing at most 210 pounds were independent events , then what should be true about P (Shirt# 1—33|≤ 210 pounds)?
A previous year, the weights of the members of the San Francisco 49ers and the Dallas Cowboys were published in the San Jose Mercury Ne. The factual data are compiled into Table 3.24. For the following, suppose that you randomly select one player from the 49ers or Cowboys. If having a shirt number from one to 33 and we1g1ing at most 210 pounds were independent events , then what should be true about P (Shirt# 1—33|≤ 210 pounds)?
A previous year, the weights of the members of the San Francisco 49ers and the Dallas Cowboys were published in the San Jose Mercury Ne. The factual data are compiled into Table 3.24.
For the following, suppose that you randomly select one player from the 49ers or Cowboys.
If having a shirt number from one to 33 and we1g1ing at most 210 pounds were independent events, then what should be true about P(Shirt# 1—33|≤ 210 pounds)?
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Harvard University
California Institute of Technology
Massachusetts Institute of Technology
Stanford University
Princeton University
University of Cambridge
University of Oxford
University of California, Berkeley
Imperial College London
Yale University
University of California, Los Angeles
University of Chicago
Johns Hopkins University
Cornell University
ETH Zurich
University of Michigan
University of Toronto
Columbia University
University of Pennsylvania
Carnegie Mellon University
University of Hong Kong
University College London
University of Washington
Duke University
Northwestern University
University of Tokyo
Georgia Institute of Technology
Pohang University of Science and Technology
University of California, Santa Barbara
University of British Columbia
University of North Carolina at Chapel Hill
University of California, San Diego
University of Illinois at Urbana-Champaign
National University of Singapore…
A company found that the daily sales revenue of its flagship product follows a normal distribution with a mean of $4500 and a standard deviation of $450. The company defines a "high-sales day" that is, any day with sales exceeding $4800. please provide a step by step on how to get the answers in excel
Q: What percentage of days can the company expect to have "high-sales days" or sales greater than $4800?
Q: What is the sales revenue threshold for the bottom 10% of days? (please note that 10% refers to the probability/area under bell curve towards the lower tail of bell curve)
Provide answers in the yellow cells
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