Answer: 0.0793
Step-by-step explanation:
Let the IQ of the educated adults be X then;
Assume X follows a normal distribution with mean 118 and standard deviation of 20.
This is a sampling question with sample size, n =200
To find the probability that the sample mean IQ is greater than 120:
P(X > 120) = 1 - P(X < 120)
Standardize the mean IQ using the sampling formula : Z = (X - μ) / σ/sqrt n
Where; X = sample mean IQ; μ =population mean IQ; σ = population standard deviation and n = sample size
Therefore, P(X>120) = 1 - P(Z < (120 - 118)/20/sqrt 200)
= 1 - P(Z< 1.41)
The P(Z<1.41) can then be obtained from the Z tables and the value is 0.9207
Thus; P(X< 120) = 1 - 0.9207
= 0.0793
Answer: Experimental probability
Step-by-step explanation:
There are two kinds of probability: Theoretical probability and Experimental probability.
To calculate theoretical probability we divide favorable outcomes by total outcomes.
To calculate experimental probability we divide number of times an event occurs by the total number of trials or times the activity is performed.
Here, A child gets 20 heads out of 30 tosses of a coin. If he declared the chance of getting a head with that coin were 2/3, which is dependent on the activity he performed, thus it is an experimental probability.
Yes it's
30000+8000+900+50+6
Step-by-step explanation:
(A)It says AT A BASKETBALL CHAMPIONSHIP so obviously most people there would’ve said basketball.
(B) Maybe try doing the whole school and not just the students at the basketball championship.
hope this helped! if you need anything else let me know. <3
Answer:
2
Step-by-step explanation:
Pull out like factors :
2x - 4 = 2 • (x - 2)
(4x + (2 • (x - 5))) - 6 • (x - 2)
(4x + 2 • (x - 5)) - 6 • (x - 2)
Final Answer:
2
