So one key thing to remember here is that the direction of the correlation is irrelevant, that is it does not matter if your correlation is + or - what matters is how close that number is to 1.0.
To help you out here are the ranges of correlation strength
- 0.70. A strong relationship
- 0.50. A moderate relationship
- 0.30. A weak relationship
So to start off with 0.26 and 0.18 are very small correlations so you'd call those weak correlations.
Let me know if you need help doing the other ones? It should be simple enough with the data I gave you :)
Answer:
1/6 for 1 and 1/6 for 6
Step-by-step explanation:
Answer:
The mean of the distribution of sample means is 27.6
Step-by-step explanation:
We are given the following in the question:
Mean, μ = 27.6
Standard Deviation, σ = 39.4
We are given that the population is a bell shaped distribution that is a normal distribution.
Sample size, n = 173.
We have to find the mean of the distribution of sample means.
Central Limit theorem:
- It states that the distribution of the sample means approximate the normal distribution as the sample size increases.
- The mean of all samples from the same population will be approximately equal to the mean of the population.
Thus, we can write:
Thus, the mean of the distribution of sample means is 27.6
Answer:
160 cm
Step-by-step explanation:
a square has 4 equal sides. if one of the sides is 40 cm, then all of the other sides are 40 cm as well. to get a perimeter, you add up the lengths of all the sides. if there are 4 sides of 40 cm, you multiply 40 by 4 to get 160, finally add the unit to get 160 cm.
Answer:
$2.34
Step-by-step explanation:
7.76+4.50+1.90+1.90+1.60=17.66
20-17.66=2.34
