Non-liquidating DistributionsCorporation is a calendar year taxpay.pdf

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Non-liquidating Distributions Corporation is a calendar year taxpayer. Pete owns one-third (100 shares) of Pink stock. His basis in the stock is $25,000. Cheryl owns two-thirds (200 shares) of Pink stock. Her basis in the stock is $40,000. On June 10 of the current year, Pink distributes $40,000 to Pete and $80,000 to Cheryl. a. Determine the tax consequences (dividend income, return of capital, and/ or capital gain) of the cash distributions to Pete and Cheryl as well as the remaining stock basis if current E&P is $60,000 and accumulated E&P is $100,000. b. Determine the tax consequences (dividend income, return of capital, and/ or capital gain) of the cash distributions to Pete and Cheryl if current E&P is $36,000 and accumulated E&P is $30,000..

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No plagiarism and at least 250 wordsBriefly describe the dif.pdf

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no need to invlude comments in the code. 1. Follow the FDR to implement a function called load_data. This function must be placed below the four individual functions in the file load_data.py Function Description: - The function lets the user choose which data will be loaded. - It takes two input parameters: (1) the file name where the data is stored, and (2) a tuple with a pair of values. The first value of the tuple is the attribute we use to filter the data ('School', 'Age', 'Health', 'Fallures' or 'All'), and the second one is the value of the attribute used to filter the students. If the first value of the tuple is "AlI", all data will be loaded, and the second one can be ignored. - The function returns as a list of students (stored as a dictionary) where the keys of the dictionary are the labels for all attributes in the spreadsheet except for the attribute in the first item of the tuple. If the first item of the tuple is invalid, the function will print the error message "Invalid Value" and return an empty list. Example 1: >> load_data('student-mat.csv', ('Failures', 0)) [\{School': 'GP', 'Age': 18, 'StudyTime': 6.7, 'Health': 3, 'Absences': 7, 'G1': 12, 'G2': 13, 'G3': 14\}. \{another element], +1) Note that 'Failures' is not included in the dictionary. Example 2: load_data('student-mat.csv', ('All', -1)) [\{'School': 'GP', 'Age': 18, 'StudyTime': 6.7, 'Failures': 1, 'Health': 3, 'Absences': 7, 'G1: 12, 'G2': 13, 'G3: 14\}, \{another element\}. ... Note that all fields are included in the dictionary Example 3: load_data('student-mat.csv', ('G1', 10)) Invalid Value //Message displayed on the terminal [] //Return value.

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Noel Arrold podra haber terminado en trigo. O en el saln de clases. Como estudiante de microbiologa a fines de la dcada de 1960, Noel estaba en camino a una carrera como maestro cuando su profesor mencion casualmente que haba dinero disponible para un estudiante de doctorado que podra querer posponer las calificaciones docentes para dedicarse a algo ms basado en la investigacin. La eleccin era un diploma de educacin, enfermedades del trigo... o hongos. 'Pens: 'Bueno, hay una sequa en Australia cada pocos aos y tomar 10 aos hacer un doctorado [en trigo]. Me quedo con los championes, dice Arrold. Al poco tiempo, el novato estudiante de doctorado haba instalado un cuarto de cultivo oscuro y hmedo debajo de la facultad de farmacia de la Universidad de Sydney. Pronto, las esporas florecieron y era solo cuestin de tiempo antes de que vendiera sus hongos de investigacin a los profesores de la universidad como actividad adicional. En la actualidad, Arrold es uno de los principales cultivadores de hongos exticos de Australia y opera Li-Sun Exotic Mushrooms en las tierras altas del sur de Nueva Gales del Sur. Lo ms probable es que cada vez que compre un shiitake fresco para cocinar en casa, o coma un nameko o un hongo ostra en un restaurante como Tetsuya's, Billy Kwong o Quay, Arrold lo cultiv en lo profundo de las entraas de un magnfico edificio victoriano en desuso. tnel ferroviario que una vez uni Bowral y Mittagong. Arrold, como sus hongos universitarios, prosper en la oscuridad de su cuarto de cultivo en esos primeros das. Despus de terminar su doctorado, estudi en Alemania y los EE. UU. y regres a Australia con una gran cantidad de conocimientos en un momento en que la gran mayora de los hongos del pas eran pequeos botones blancos Agaricus bisporus que se vendan enlatados, a menudo como 'championes'. cambiado desde entonces. Hoy en da, la mayor parte de la produccin de hongos de Australia (calculada en 61000 toneladas en 2009) se vende fresca y nuestro consumo interno per cpita del hongo es superado solo por Francia, segn Arrold. Pero los productos exticos representan solo una pequea porcin de ese pastel. Y para una mente cientfica como la de Arrold, ah radica el inters. Estableci su propio negocio, un laboratorio que produce esporas para la industria del cultivo de hongos, en un polgono industrial en las afueras de Mittagong a principios de la dcada de 1980. 'Hay mucha ciencia en ello', dice. Todo el trabajo real se hace en el laboratorio. Tienes que seleccionar cepas que se adapten a este entorno. Todos estos aos despus, Arrold contina experimentando. Su laboratorio es un revoltijo fascinante de artilugios y parafernalia al estilo de Heath Robinson; una hormigonera convertida, por ejemplo, se utiliza para producir las diversas mezclas de aserrn y paja que se utilizan para cultivar las esporas. Otro dispositivo, utilizado para esterilizar estas mezclas, se convirti a partir de un cocedor de budines apropiado de una antigua fbrica de Big Sister. .

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Ninna Banks is responsible for recording cash disbursements, preparing checks and preparing bank reconciliations for Miognet Corporation. While reconciling the November bank statement, Mills noticed that several checks totaling $9,460 had been outstanding for more than one year. Concluding that these checks would never be presented for payments, Banks prepared a check for $9,460 payable to herself, forged the treasurers signature, and cashed the check. Banks made no entry in the accounts for this disbursem.

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