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 Mean
A random sample of size n (n > 30) has a sample mean . To test the hypothesis that the population mean μ has a specified value μ0 let us formulate the Null Hypothesis as H0: μ = μ0 .
The Alternative Hypothesis is (i) H1: μ ≠ μ0 or (ii) H1: μ > μ0 or (iii) H1: μ < μ0 . Since n is large, the sampling distribution of is approximately normal.
If H0 is true, the test statistic z = has approximately a standard normal distribution. The critical region for z depending on the nature of H1 and level of significance α is given below:
Level of significance ( α )
10%
5%
1%
Critical region for μ ≠ μ0
| z | > 1.64
| z | > 1.96
| z | > 2.58
Critical region for μ > μ0
z < -1.28
z < -1.64
z < -2.33
Critical region for μ < μ0
z > 1.28
z > 1.64
z > 2.33
i am new to stata and i am trying to figure out how to calculate expected growth of sales tax revenue as well as average growth rate of sales tax revenue in stata. I have a dataset
what are the challenges affecting population census in developing countries
Explain what central tendency and variability are. In your answer define what the mean, median, mode, variance, and standard deviation are. What is the difference between the descr
Admixture in human populations The inter-breeding amongst the two or more populations which were previously isolated from each other for the geographical or the cultural reason
Sampling A Population is a collection of all the data points being studied. For example, if we are studying the annual incomes of all the people in India, then the population
how to compute reliability coefficient for extracted factors in factor analysis?
how much that cost ?
Normal 0 false false false EN-US X-NONE X-NONE
Ask questiovdgngddndgdngngngngn #Minimum 100 words accepted#
Estimate a linear probability model: Consider the multiple regression model: y = β 0 +β 1 x 1 +.....+β k x k +u Suppose that assumptions MLR.1-MLR4 hold, but not assump
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