Already have an account? Get multiple benefits of using own account!
Login in your account..!
Remember me
Don't have an account? Create your account in less than a minutes,
Forgot password? how can I recover my password now!
Enter right registered email to receive password!
Large Sample Test for Proportion
A random sample of size n (n > 30) has a sample proportion p of members possessing a certain attribute (success). To test the hypothesis that the proportion p in the population has a specified value p0.
The Null Hypothesis is H0: p = p0.
The Alternative Hypothesis is (i) H1: p ≠ p0 or (ii) H1: p < p0, or (iii) H1: p > p0.
Since n is large, the sampling distribution of is approximately normal.
If H0 is true, the test statistic z = is approximately normally distributed.
The critical region for z depending on the nature of H1 and level of significance α is given in the following table:
Rejection Rule for H0: p = p0
Level of significance
10%
5%
1%
Critical region for p p0
| z | > 1.64
| z | > 1.96
| z | > 2.58
Critical region for p < p0
z < -1.28
z < -1.64
z < -2.33
Critical region for p > p0
z > 1.28
z > 1.64
z > 2.33
Factor analysis (FA) explains variability among observed random variables in terms of fewer unobserved random variables called factors. The observed variables are expressed in
Using a random sample of 670 individuals for the population of people in the workforce in 1976, we want to estimate the impact of education on wages. Let wage denote hourly wage in
Chebychev inequality
Regression line drawn as Y=C+1075x, when x was 2, and y was 239, given that y intercept was 11. calculate the residual
Sample Standard Deviation So far, we discussed the population standard deviation. Now, let us switch to sample standard deviation(s) that is analogous to the population stand
differance b/w big M mathod and two phase mathod
Canonical correlation analysis (CC) allows the investigation of the relationship between two ,sets of variables. For example, a sociologist may want to investigate the Relationship
Standard Deviation The main drawback of the deviation measures of dispersion, as discussed earlier, is that the positive and negative deviations cancel out each other. Use of t
Coefficient of Variation The standard deviation discussed above is an absolute measure of dispersion. The corresponding relative measure is known as the coefficient of vari
A researcher hypothesized that the pulse rates of long-distance athletes differ from those of other athletes. He believed that the runners’ pulses would be slower. He obtained a ra
Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!
whatsapp: +91-977-207-8620
Phone: +91-977-207-8620
Email: [email protected]
All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd