ss
If these are sides of a triangle then AC can have any value in the interval (3, 13).
Let f(x)=abs(x) , absolute value of x defined on the interval [5,5] f(x)= |x| , -5 ≤ x ≤ 5 Then, f(x) is continuous on [-5,5], but not differentiable at x=0 (that is not differentiable on (-5,5)). Therefore, the Mean Value Theorem does not hold.
What is the present value of 500 to be recieved 10 yrs from today if it is discount at the rate of 6 percent?
90 per cent of its initial value.
.229/.225 = 1.0178 percent error = (1.0178 - 1) times 100 to get to percent = .0178 x 100 = 1.78%
The Z-value for a one-sided 91% confidence interval is 1.34
1.96
1.15
Pr{z<=1.0805}~=0.86
The answer will depend on whether the interval in one or two sided. One-sided: Z < 1.28 or Z > -1.28 Two-sided: -1.64 < Z < 1.64
For a two-tailed interval, they are -1.645 to 1.645
The answer depends on whether the test is one-tailed or two-tailed.One-tailed: z = 1.28 Two-tailed: z = 1.64
The answer will depend on whether the interval is one-sided or two-sided; and if two-sided, whether it is symmetrical.For a symmetrical two-sided confidence interval, the Z value is 0.974114The answer will depend on whether the interval is one-sided or two-sided; and if two-sided, whether it is symmetrical.For a symmetrical two-sided confidence interval, the Z value is 0.974114The answer will depend on whether the interval is one-sided or two-sided; and if two-sided, whether it is symmetrical.For a symmetrical two-sided confidence interval, the Z value is 0.974114The answer will depend on whether the interval is one-sided or two-sided; and if two-sided, whether it is symmetrical.For a symmetrical two-sided confidence interval, the Z value is 0.974114
The two tailed critical value is ±1.55
1.96
It depends on whether the interval is one sided or two sided. The critical value for a 2-sided interval is 1.75
Estimating the true value of a popular parameter typically involves statistical methods such as point estimation or interval estimation. Point estimation provides a single value as an estimate, while interval estimation offers a range within which the true value is likely to fall, often accompanied by a confidence level. Accurate estimates rely on representative samples and appropriate methodologies to mitigate biases and errors. Ultimately, the goal is to approximate the true parameter value as closely as possible based on available data.