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!
Correlation
The correlation is commonly used and a useful statistic used to describe the degree of the relationships between two or more variables. Pearson's correlation reflects the degree of linear relationship between X variables which are independent and a Y variable which is independent and it ranges from positive 1 to negative 1 (+1 to -1). Below are statistics I have managed to gather which shows the relationship between the variables of wfood, totexp, income, age, nk.
The Null Hypothesis - H0: Correlation has risen by chance i.e. r = 0
The Alternative Hypothesis - H1: Correlation has not risen by chance i.e. r ≠ 0
*Exception: Reject H0 when P-value ≤ α = 0.05
Correlations: wfood, totexp, income, age, nk
wfood totexp income age
totexp -0.479 0.000
income -0.235 0.449
0.000 0.000
age 0.021 0.189 0.218
0.405 0.000 0.000
nk 0.102 0.071 0.025 0.008
0.000 0.005 0.322 0.753
Cell Contents: Pearson correlation
P-Value
Your company has developed a new product .Your company is a reputed company with 50% market share of same range of products. Your competitors also come with their new products equa
Grouped Data For calculating mode from a frequency distribution, the following formula Mode = L mo + x W where,
Empirical Mode Where mode is ill-defined, its value may be ascertained by the following formula based upon the empirical relationship between Mean, Median and Mode: Mode = 3
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
Level of Significance: α The main purpose of hypothesis testing is not to question the computed value of the sample statistic, but to make judgment about the difference between
According to a recent study, when shopping online for luxury goods, men spend a mean of $2,401, whereas women spend a mean of $1,527. Suppose that the study was based on a sample o
for this proportion, use the +-2 rule of thumb to determine the 95 percent confidence interval. when asked if they are satisfied with their financial situation, .29 said "very sat
The file Midterm Data.xls has a tab labeled "Income Data 2009". This data is collected income data from a sample of 400 people in 2009. Use a hypothesis test to see whether the av
merits and demerits of methods to determin trends
operation
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