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Aleksandr [31]
3 years ago
9

If the test statistic for a small sample difference of means test is t* = 2.045, we could reject the Null Hypothesis at alpha =

.05 for a one-tailed test with degrees of freedom equal to 6.
A. True
B. False
Computers and Technology
1 answer:
Free_Kalibri [48]3 years ago
8 0

Answer:

True

Explanation:

Using the t-distribution table, the critical value for a one-tailed test with 6 degrees of freedom and 0.05 significance level is 2.447

Conclusion:

Reject the null hypothesis because the test statistic 2.045 is less than the critical value 2.447

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Answer:

class Car:

   def __init__(self):

       self.model_year = 0

       # TODO: Declare purchase_price attribute

       self.purchase_price = 0

       self.current_value = 0

   def calc_current_value(self, current_year):

       depreciation_rate = 0.15

       # Car depreciation formula

       car_age = current_year - self.model_year

       self.current_value = round(self.purchase_price * (1 - depreciation_rate) ** car_age)

# TODO: Define print_info() method to output model_year, purchase_price, and current_value

   def print_info(self):

       print("Model year: ",self.model_year)

       print("Purchase year: ",self.purchase_price)

       print("Current value: ",self.current_value)

def main():

   year = int(input())

   price = int(input())

   current_year = int(input())

   my_car = Car()

   my_car.model_year = year

   my_car.purchase_price = price

   my_car.calc_current_value(current_year)

   my_car.print_info()

if __name__ == "__main__":

   main()

Explanation:

The Car class in the python program is used to create a car object instance with class methods model_year, purchase_price, and calc_current_value, which accepts as arguments, year, price and current_year respectively. The main function runs if only the python module is run and interpreted to print out the year and current price of a car object instance defined.

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