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Action Plan Outline: Veterans with Service Dogs Introduction: - Many veterans struggle with mental and physical health issues after and during service. - Likewise, there are many good dogs that sit in shelters due to the low demand for shelter dogs, as well as the rise of breeders. - By offering proper training, many dogs can be used as ESA or even service dogs, lowering the shelter population as we support veterans mental health problems Needs Assessment - Find organizations that would be willing to train these animals to make sure they are properly suited for the job - Need to come up with some sort of assessment to determine what dogs would be fitted for the training, and which dogs - Figure out how and who would be wanting to participate in aid program, and what our specific demographic would be Action Steps - Establish partnership with local training organizations - establish partnership with local VA offices, and other veteran mental health organizations - Create a system the values dogs based on their characteristics - Create a quiz like program that matches dogs to a veteran that fits for both the veteran and the animal - Create social media presents to help spread the words - Create a campaign to help relay information to people who may not have access to the internet - Provide a schedule to make sure connection between the two is beneficial for both parties Evaluation and Monitoring - Provide check-ins for both parties to gather information - Helps provide a peaceful transition for both parties - Provide financial support as well as emotional ones Challenges - Finding specific companies that will help provide accessible training specific to veterans' needs - Continuing financial support so that it is not a burden on veterans
This question: 1 point The accompanying table describes results from groups of 8 births from 8 different sets of parents. The random variable x represents the number of girls Click the icon to view the table. 0.0312 (Type an integer or a decimal. Do not round.) b. Find the probability of getting 1 or fewer girls in 8 births. 0.0352 (Type an integer or a decimal. Do not round.) c. Which probability is relevant for determining whether 1 is a significantly low number of girls in 8 births: the result from part (a) or part (b)? A. Since the probability of getting 0 girls is less likely than getting 1 girl, the result from part (a) is the relevant probability. B. Since the probability of getting more than 1 girl is the complement of the result from part (b), this is the relevant probability. C. Since getting 0 girls is an even lower number of girls than getting 1 girl, the result from part (b) is the relevant probability. D. Since the probability of getting 1 girl is the result from part (a), this is the relevant probability. d. Is 1 a significantly low number of girls in 8 births? Why or why not? Use 0.05 as the threshold for a significant event. A. Yes, since the appropriate probability is less than 0.05, it is a significantly low number. B. No, since the appropriate probability is greater than 0.05, it is not a significantly low number. C. No, since the appropriate probability is less than 0.05, it is not a significantly low number. D. Yes, since the appropriate probability is greater than 0.05, it is a significantly low number.
Una empresa fabrica muebles a partir de piezas prefabricadas y desea definir la producción de distintos productos para la venta de la próxima temporada. Para ello ha elegido los tres productos con mayor venta que son escritorios, mesas y muebles de cocina, los que son procesados por 3 tipos de máquinas, una cortadora, una ensambladora y una barnizadora. Se dispone de a lo más 80 horas de trabajo en cada una de las maquinas. Se estima que la empresa adquirirá 40.000 unidades de madera prefabricada desde sus proveedores, los cuales pueden ser de distinto tipo: pino, eucalipto y roble. A continuación, se muestra cómo se distribuye la madera para cada tipo de producto y el costo unitario de compra de cada unidad: Tipo de madera Escritorio Mesa Mueble de cocina Costo unitario Pino 7 10 3 40 Roble 7 5 2 60 Eucalipto 6 5 5 50 La siguiente tabla muestra la distribución del tiempo en las máquinas para cada mueble, el precio de venta de cada producto y el costo de la hora-hombre de cada una de las maquinas: Producto Minutos Cortadora Minutos Ensambladora Minutos Barnizadora Precio venta Escritorio 5 2 3 6000 Mesa 3 5 2 6000 Mueble de cocina 2 3 5 4000 Costo HH 2000 2500 3300 - De la venta de temporadas anteriores se sabe que, normalmente, se venden más del triple de escritorios que mesas, así como que la cantidad de mesas representa menos de un quinto del total de muebles vendidos en total. a) Formule el modelo de programación lineal, que permita determinar la cantidad de producción óptima de muebles para la próxima temporada, así como la utilidad optima, de manera de optimizar la operación de la compañía y generar crecimiento. Definir de variables de decisión, la función objetivo y las restricciones. b) Resuelva el modelo de programación lineal encontrado en a), analíticamente o mediante el uso del software R, o cualquier otro que desee utilizar como el Excel-SOLVER, PHP-SIMPLEX, LINGO, POM-QM (anexe imagen de los resultados generados por el software utilizado). Debe interpretar el resultado obtenido indicando el valor óptimo de cada variable de decisión y de la función objetivo.