Answer:
A: A coefficient of 0.98 shows a strong positive correlation with the data.
B: A graph comparing the number of seeds planted to the number of flowers in a garden.
Explanation:
A: Because, a correlation coefficient of 1 means there is a direct positive correlation correlation anyting over 0.5 shows a strong posotive correlation.
B: Any relationship where the first value directly causes the second is a causual relationship.
Define the population, decide on the sample size (aka what percentage of that population)
Convert to an equation:
50^2=2+25^2=2*5=10
Simplify:
2500=625=10=10
What is wrong is that 2500 does not equal 625 which does not equal 10.
Answer: 0.10
Step-by-step explanation: The type 2 error is committed when the alternative hypothesis is rejected when it should have been accepted causing the researcher to accept the null hypothesis which is false.
Power is the probability of avoiding a type 2 error. That is ;
Power = 1 - P(type 2 error)
Given that power = 0.90 ; P(type 2 error) = probability of committing a type 2 error.
P(type 2 error)' = 1 - P(type 2 error) = Probability of not committing or avoiding a type 2 error
0.90 = 1 - P(type 2 error)
P(type 2 error) = 1 - 0.90
P(type 2 error) = 0.10
Answer: solving for x would be x ≤ 3
Step-by-step explanation:
Hope this helps! have a good day!
