Answer:
2316
Step-by-step explanation:
use a calculator
The probability of randomly selecting a yellow marble out of the bag is 
Step-by-step explanation:
A bag contains:
- 7 red marbles
- 5 yellow marbles
- 6 blue marbles
- 4 green marbles
- 3 orange marbles
We need to find the probability of randomly selecting a yellow marble out of the bag
Probability is the ratio of number of favorable outcomes to the total number of possible outcomes P(A) = 
∵ A bag contains 7 red marbles, 5 yellow marbles, 6 blue
marbles, 4 green marbles, and 3 orange marbles
- Add all the color to find the number of total marbles
∴ n(all) = 7 + 5 + 6 + 4 + 3 = 25
∵ There are 5 yellow marbles
∵ P(yellow) = 
∴ P(yellow) = 
- Divide up and down by 5 to simplify the fraction
∴ P(yellow) =
The probability of randomly selecting a yellow marble out of the bag is
Learn more:
You can learn more about the probability in brainly.com/question/9178881
#LearnwithBrainly
Answer:
0
Step-by-step explanation:
3(r+300)=6
Divide each side by 3
3/3(r+300)=6/3
(r+300)=2
Now we want to find
r+300-2
2 -2
0
Answer:
Methods of obtaining a sample of 600 employees from the 4,700 workforce:
Part A: The type of sampling method proposed by the CEO is Convenience Sampling.
Part B: When there are equal number of participants in both campuses, stratification by campus would give a more precise approximation of the proportion of employees who are satisfied with the cleanliness of the breakrooms than stratification by gender. Another method to ensure that stratification by campus gives a more precise approximation of the proportion of employees who are satisfied with the cleanliness of the breakrooms than stratification by gender is to ensure that the sample is proportional to the proportion of each campus to the whole population or workforce.
Step-by-step explanation:
A Convenience Sampling technique is a non-probability (non-random) sampling method and the participants are selected based on availability (early attendees). The early attendees might be different from the late attendees in characteristics such as age, sex, etc. Therefore, sampling biases are present. All non-probability sampling methods are prone to volunteer bias.
Stratified sampling is more accurate and representative of the population. It reduces sampling bias. The difficulty arises in choosing the characteristic to stratify by.
