Answer:
The maximal margin of error associated with a 95% confidence interval for the true population mean is 2.238.
Step-by-step explanation:
We have given,
The sample size n=42
The sample mean 
The population standard deviation 
Let
be the level of significance = 0.05
Using the z-distribution table,
The critical value at 5% level of significance and two tailed z-distribution is

The value of margin of error is




The maximal margin of error associated with a 95% confidence interval for the true population mean is 2.238.
Answer:
either 81 or 162
Step-by-step explanation:
I got 81 by 27×12
162=27×12×2
Answer:
y = - 3x - 2
Step-by-step explanation:
Step 1:
y = mx + b Slope Intercept Form
Step 2:
y = - 3x + b Input Slope
Step 3:
4 = - 3 ( - 2 ) + b Input x and y
Step 4:
4 = 6 + b Multiply
Step 5:
- 2 = b Subtract 6 on both sides
Answer:
y = - 3x - 2
Hope This Helps :)
Answer: the sale price is $2.70
Step-by-step explanation:
Discount = Original Price x Discount %/100
Discount = 18 × 85/100
Discount = 18 x 0.85
You save = $15.30
Final Price = Original Price - Discount
Final Price = 18 - 15.3
Final Price = $2.70