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!
To study the effects of different types of vigorous exercise on physical fitness, researchers randomized 33 healthy, non-athletic, 20- to 25-year-old made volunteers into three exercise programs: swimming, running, and bicycling. After six months, a variety of measures were taken of the men's fitness levels. One such measure was forced expiratory volume (FEV1), with higher values indicating better pulmonary fitness. The results were as follows:
FEV1(liters)
Programs
Sample size
Sample mean
Sample standard deviation
Swimming
11
4.4
0.4
Running
4.2
Bicycling
3.7
0.5
The one-way ANOVA table for these data is as follows, indicating at least one significant difference in mean FEV1 among the three groups.
Source
DF
Sum of Squares
Mean Square
F Value
Pr > F
Model
2
2.86
1.43
7.53
0.0022
Error
30
5.7
0.19
Corrected Total
32
8.56
Perform all pairwise comparisons among the three programs, using a Tukey adjustment and an overall significance level of 0.05, then interpret all your results.
If the confidence interval limits do not include age below 20 does it mean that motor cyclists under the age of 20 rarely die in crashes?
The mean maximum oxygen uptake for elite athletes has been found to be 80 with a standard deviation of 8.1. Assume that the distribution is approximately normal.
Assuming the sample size of 40 can be considered as large, compute the confidence interval for a confidence level of 90%.
Compute the incidence proportion or the risk ratio that compares group 1 to group 0, and compute the Incidence proportion or the risk ratio which compares group 2 to group 0. Then post a summary of your findings.
Using the 0.01 significance level, can we conclude that there is a positive correlation between the variables?
Employees of a local university have been classified according to gender and job type. The following table provides data about the employees.
Researcher is interested in testing whether there are differences in mean between population one and population two.
Utlizing binomial approximation to normal finding the normal model. A grower claims that only 13 percent of the strawberries he grows are unsatisfactory.
Make a histogram showing the probabilties of r = 0, 1, 2, 3, 4, 5, 6, 7 or 8 defective syringes in a random sample of 8 syringes.
Collapse the response categories in the following tables so that it meets the assumptions of the chi-square test; than perform the test.
Draw a normal probability plot for residuals using excel or Minitab. Do the residuals seem normally distributed? If yes, why?
Multiple comparison procedures are going to be done using the Bonferroni method with α = 0.10. The value of t** is 2.2426. The smallest minimum significant difference (MSD) for finding a difference between groups is computed as 17.68. The correct ..
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