As a rule of thumb, the sampling distribution of the sample proportion can be approximated by a normal probability distribution whenever the sample size is large.
<h3>What is the Central limit theorem?</h3>
- The Central limit theorem says that the normal probability distribution is used to approximate the sampling distribution of the sample proportions and sample means whenever the sample size is large.
- Approximation of the distribution occurs when the sample size is greater than or equal to 30 and n(1 - p) ≥ 5.
Thus, as a rule of thumb, the sampling distribution of the sample proportions can be approximated by a normal probability distribution when the sample size is large and each element is selected independently from the same population.
Learn more about the central limit theorem here:
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Answer:
all real numbers
Step-by-step explanation:
The graphs of positive and negative x^2 parabolas will always have a domain of all real numbers. Even though you only have a portion of the graph and see a "restriction" on your domain values, it is incorrect to assume that the domain is limited to what you can see. As the branches of the parabola keep going up and up and up, the values of x keep getting bigger and bigger and bigger. Again, this is true for all + or - parabolas. ....... Can consider brainlist*:)
Answer:
The speed of Usain Bolt is 0.194 miles per minutes to complete the marathon.
Step-by-step explanation:
Given as :
The Distance of marathon = 26.2 unit
The time taken to complete marathon = 2 hours and 15 minutes
= 120 + 15 = 135 minutes
Let The constant speed of Usain Bolt = S unit per minutes
So, Speed = 
Or, S = 
∴ S = 0.194 unit per minutes
Hence The speed of Usain Bolt is 0.194 miles per minutes to complete the marathon. Answer
Answer:
9√10 (nine square root ten)
Step-by-step explanation:
(3√3 .√5.√3.)√2
= (3√3*3.√5)√2
=(3*3.√5)√2
=(9√5) √2
=9√5*2
=9√10
