Answer: False.
Step-by-step explanation:
For any random variable x,
Formula to calculate the z-score : 
, where 
= Mean
= Standard deviation
Let x be the data point has a corresponding z-score of -1.5.
Then , we have
i.e. x is one and a half standard deviations below the mean value.
( one and a half =
)
Therefore , the given statement is false.
Checkthe image, i coundlnt tell which one you were looking for so heres a table
Answer:
Kindly check explanation
Step-by-step explanation:
Given that :
Correlation Coefficient (r) = 0.989
alph=0.05
Number of observations (n) = 8
determine if there is a linear correlation between chest size and weight.
Yes, there exists a linear relationship between chest size and weight as the value of the correlation Coefficient exceeds the critical value.
What proportion of the variation in weight can be explained by the linear relationship between weight and chest size?
To determine the the proportion of variation in weight that can be explained by the linear regression line between weight and chest size, we need to obtain the Coefficient of determination(r^2) of the model.
r^2 = square of the correlation Coefficient
r^2 = 0.989^2 = 0.978121
Hence, about 0.978 (97.8%) of the variation in weight can be explained by the linear relationship between weight and chest size.
Answer: The ratios are proportional
Step-by-step explanation:
Tony tacos is selling 15 sodas for 10 dollars.
Nicks nachos is selling 30 sodas for 20dollars. The ratio of the number sodas sold by Tony tacos to the number of sodas sold by Nicks nachos is 15/30 = 1/2
The ratio of the cost of sodas sold by Tony tacos to the cost of sodas sold by Nicks nachos is 10/20 = 1/2
So the number of sodas sold is proportional to the cost.
