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Sharma, J. K. (1994). “Statistical analysis of credit risk model in banking : A case study” (PhD thesis, Dept. of Commerce, Calcutta University, India). pdf: R. K. Rastogi and J. K. Sharma, “Statistical Analysis of Market Accessory Market, “. Sharma JK, Banerjee A, Khan AP, Chowdhury AK. (2012).
Business Statistics For Management Pdf Free Download Zip This book is written for A The concepts and examples of various statistical methods are presented in a lucid manner using industry case studies.. business administration, commerce, mathematics and statistics.
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Operating on multidimensional arrays

I’m creating a science museum where visitors can buy tickets to watch an activity. Each activity will have a fixed price and a random time of display. I can get the time of display for each ticket by multiplying the time and the price and adding the hours of the time and the days of the week. Once I have a list of time and prices I can calculate the minimum number of tickets needed to buy.
def ticket_min_needed(time, price):
minimum = []

for x in range(len(time)):

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Boquilla (i.e., the mouth of the Boquilla River in the Chama river basin in New Mexico) is the county seat of Doña Ana County, New Mexico, United States. The population was 2,329 at the 2010 census.

A post office has been in operation at Boquilla since 1910.

Boquilla is located at (34.634174, -106.944590).

According to the United States Census Bureau, the city has a total area of, all of it land.



As of the census of 2000, there were 2,256 people, 979 households, and 638 families residing in the city. The population density was 1,415.4 people per square mile (549.6/km²). There were 1,122 housing units at an average density of 696.3 per square mile (270.7/km²). The racial makeup of the city was 89.80% White, 0.65% African American, 1.26% Native American, 0.15% Asian, 0.08% Pacific Islander, 6.47% from other races, and 1.32% from two or more races. Hispanic or Latino of any race were 13.57% of the population.

There were 979 households out of which 27.0% had children under the age of 18 living with them, 52.5% were married couples living together, 9.8% had a female householder with no husband present, and 31.8% were non-families. 28.8% of all households were made up of individuals and 15.0% had someone living alone who was 65 years of age or older. The average household size was 2.35 and the average family size was 2.88.

In the city, the population was spread out with 23.3% under the age of 18, 5.5% from 18 to 24, 23.0% from 25 to 44, 26.3% from 45 to 64, and 21.5% who were 65 years of age or older. The median age was 43 years. For every


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Professor Meena Sharma is one of the best professors in the department of Business Statistics at Oklahoma State University. She regularly lectures in the course Business Statistics I…
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Best preparation for NBA draft

“What makes you a good player?” That question is about as common to this year’s NBA draft as it is for the pick before and after it. And while each prospect could give a different answer, there’s likely a prevailing consensus as to the qualities that make up the best basketball players.

It’s no secret that the best players are the best athletes. And just as height, speed, and strength contribute to making a great basketball player, so do the right genetics. Just because they aren’t the biggest or the strongest athletes doesn’t mean they can’t be impactful. It’s the combination of all those physical attributes, along with the developed skills, that truly sets apart the best.

That’s where smarts come in. The ability to read the game, perceive the defense, and make great plays comes from years of practice and reprogramming. After that, it’s the technical part of basketball – ball handling, passing, rebounding, shooting – that can make or break a game.

Anyone who pays attention to the NBA knows that this draft class is full of some of the best athletes in history. That’s a testament to the

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