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
how to interpret results, a good explanation to help me understand.
Methods of Forecasting Various techniques which are generally used in business forecasting are as under: 1. Forecasting through the opinion of heads of department
what are characteristics of a population for which it would be appropiate to use mean/median/mode
What would be the cutoff score to indicate a score that is in the top 15% of the scores on a test with a mean of 100 and a standard deviation of 15? This question has multiple p
Arithmetic Mean The process of computing Arithmetic Mean in the case of individual observations is to take the sum of the values of the variable and then divide by the number
Chi Square Test as a Distributional Goodness of Fit In day-to-day decision making managers often come across situations wherein they are in a state of dilemma about the applica
method of least square
Simple Linear Regression One calculate of the risk or volatility of an individual stock is the standard deviation of the total return (capital appreciation plus dividends) over
PCA is a linear transformation that transforms the data to a new coordinate system such that the greatest variance by any projection of the data comes to lie on the first coordinat
Analysis of Variance for the data: Draw a random sample of size 25 from the following data : (a) With Replacement and (b) Without Replacement and obtain Mean and Varia
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