question in terms of a probability statement. OP(Salsa Bike | Fat Bike) OP(Fat Bike n Salsa Bike) P(Fat Bike | Salsa Bike) OP(Fat Bike U Salsa Bike) OP(Salsa Bike n Fat Bike) OP(Salsa Bike U Fat Bike)
What is the probability that a randomly selected bike was a Fat Bike? Are the Fat Bikes and Salsa Bike independent of one another? OP(Fat Bike | Salsa Bike) = P(Fat) therefore Dependent OP(Salsa Bike | Fat Bike) = P(Fat) therefore Dependent OP(Salsa Bike | Fat Bike) = P(Fat) therefore Independent OP(Fat Bike | Salsa Bike) = P(Fat) therefore Independent OP(Fat Bike | Salsa Bike) = P(Fat) therefore Dependent OP(Salsa Bike | Fat Bike) = P(Fat) therefore Dependent OP(Salsa Bike | Fat Bike) = P(Fat) therefore Independent OP(Fat Bike | Salsa Bike) = P(Fat) therefore Independent Determine the following probability: P(Road Bike U Trek Bike) Considering the above contingency table, select all items that are mutually exclusive. Kona and Salsa Fat Bike and Road Bike. Mountain Bike and Trek.
Determine the following probability: P(Road Bike U Trek Bike) Considering the above contingency table, select all items that are mutually exclusive. Kona and Salsa O Fat Bike and Road Bike. Mountain Bike and Trek None are mutually exclusive
The following contingency table provides bicycle sales for the Northwest Region of Ethan's Bike Shops. Regional Bike Sales Bike Brands Kona Salsa Trek Fat Bike 771 2328 1231 Mountain Bike 2294 725 3870 Road Bike 355 212 1241 Bike Types What is the probability that a Fat Bike was purchased given it was a Salsa bike? Convert the previous The following contingency table provides bicycle sales for the Northwest Region of Ethan's Bike Shops. Regional Bike Sal
-
- Site Admin
- Posts: 899603
- Joined: Mon Aug 02, 2021 8:13 am