Let p be the proportion. Let c be the given confidence level , n be the sample size.
Given: p=0.3, n=1180, c=0.99
The formula to find the Margin of error is
ME = 
Where z (α/2) is critical value of z.
P(Z < z) = α/2
where α/2 = (1- 0.99) /2 = 0.005
P(Z < z) = 0.005
So in z score table look for probability exactly or close to 0.005 . There is no exact 0.005 probability value in z score table. However there two close values 0.0051 and 0.0049 . It means our required 0.005 value lies between these two probability values.
The z score corresponding to 0.0051 is -2.57 and 0.0049 is -2.58. So the required z score will be average of -2.57 and -2.58
(-2.57) + (-2.58) = -5.15
-5.15/2 = -2.575
For computing margin of error consider positive z score value which is 2.575
The margin of error will be
ME =
= 
= 2.575 * 0.0133
ME = 0.0342
The margin of error is 0.0342
To add and subtract fractions you must do the multiplication of the numerator of the first with the denominator of the second. Then, add or subtract the multiplication of the numerator from the second with the denominator of the first. Finally divide the result between the multiplication of the denominator of the first with the denominator of the second fraction.Annex the result.
Answer:multiplication
Step-by-step explanation:
Answer:
False
Step-by-step explanation:
Given that two linear regression models have the same number of explanatory variables
First model has coefficient of determination as 0.45 while other
0.65
we know that R^2 is the proportion showing the variation of dependent because of variation in independent variables.
Hence a higher R square is always better because it ensures more linearity and hence more accuracy in the regression equation.
Hence 0.65 model is better than 0.45 model.
The given statement is false.
Answer: 21
Step-by-step explanation: 3 x 7 = 21
