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!
A sociologist is interested in the relation between x= number of job changes and y = annual salary (in thousands of dollars) for people living in the Nashville area. A random sample of 10 people employed in Nashville provided the following information:
x (Number of job changes)
4
7
5
6
1
9
10
3
y (Salary in $1000)
33
37
34
32
38
43
40
(a) Draw a scatter diagram displaying the data.
(b) Find the equation of least -squares line and plot the line on the scatter diagram of part (a)
(c) Find the correlation coefficient r. Find the coefficient of determination r². What percentage of variation in y is explained by the variation in x and the least-squares model?
Σx = 60; Σy = 359; Σx² = 442; Σy² = 13,013; and Σxy = 2231
(d) If someone had x = 2 job changes, what does the least-squares line predict for y, the annual salary?
Test the given claim using the traditional method of hypothesis testing.
Crete a 90% confidence interval for mean Secchi dish measurement.
Find out the value of correlation coefficient. Make a regression model to predict winning percentage utilizing all of the data.
If the computed value for this problem is +2.33, and the level of significance is 0.05, can we conclude that the recall proportions for the two commercials are same?
Run an ANOVA using only groups 1 to 6 (You can hide group 7 from the analysis by data followed by select cases and then you filter out group 7 by if GROUP~= ). Also run the posthoc tests LSD and Bonferroni.
The Pearson Product-Moment Correlation Coefficient (r) is a measure of linear relationship between two variables.
Use a 0.05 significance level to test the claim that king-size cigarettes with filters have a lower mean amount of nicotine than the mean amount of nicotine in non-filtered king-size cigarettes.
The population of lengths of aluminium-coated steel sheets is normally distributed with a mean of 30.05 inches and a standard deviation of 0.2 inches.
If the probability that it will rain tomorrow is 0.33, then what is the probability that it will not rain tomorrow?
Modify above problem (Problem 8th) so that each hardware vendor now demands seventy-five (75) units. Any units available from the vendors that are not shipped cost nothing.)
Using this information, calculate Beta risk (probability of Type II error) if the true population mean really is 77.
Scores on a test are normally distributed with a mean of 60.9 and a standard deviation of 12. Find P81, which separates the bottom 81% from the top 19%.
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: +1-415-670-9521
Phone: +1-415-670-9521
Email: [email protected]
All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd