The corner Convenience store kept track of the number of paying customers it had during the noon hour each day for 100 days. The resulting statistics are rounded to the nearest integer: mean = 95 midrange = 93 median = 97 range = 56 mode = 98 standard deviation = 12 first quartile = 85 third quartile = 107 a. The store served what number of paying customers during the noon hour more often than other number? Explain how you determined your answer. b. On how many days were there between 85 and 107 paying customers during the noon hour? Explain how you determined your answer. c. What was the greatest number of paying customers during noon hours? Explain how you determined your answer. d. For how many of the 100 days was the number of paying customers within 3 standard deviations of the mean? Explain how you determined your answer.
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
The corner Convenience store kept track of the number of paying customers it had
during the noon hour each day for 100 days. The resulting statistics are rounded to the nearest integer:
mean = 95 midrange = 93
first
a. The store served what number of paying customers during the noon hour more often
than other number? Explain how you determined your answer.
b. On how many days were there between 85 and 107 paying customers during the noon
hour? Explain how you determined your answer.
c. What was the greatest number of paying customers during noon hours? Explain how you
determined your answer.
d. For how many of the 100 days was the number of paying customers within 3 standard
deviations of the mean? Explain how you determined your answer.
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