Question

In: Statistics and Probability

magine you are testing for the effects of two experimental drugs (data sets B and C)relative...

magine you are testing for the effects of two experimental drugs (data sets B and C)relative to a control group (Data set A) on a physiological variable.

Data set A: 105.51,111.46,104.35,115.27,113.98,119.18,116.45,119.98

Data set B: 93.63,88.90,95.03,86.08,85.86,98.22,105.46,96.50

Data set C: 95.12,97.12,94.08,99.78,101.44,101.27,104.70,103.70

b) Use the Bonferroni-Holm (regardless of whether part “a” is significant or not) to examine all pairwise comparisons. Show all your calculations and state your conclusions

PLEASE SHOW THE CALCULATIONS AND EXPLANATIONS. PLEASE DO NOT USE SPSS

Solutions

Expert Solution

DATA:

A B C
105.51 93.63 95.12
111046 88.9 97.12
104.35 95.03 9408
115.27 86.08 99.78
113.98 85.86 101.44
119.18 98.22 101.27
116.45 105.46 104.7
119.98 96.5 103.7

Bonferroni- Holm test:

Hypothesis

Ho: No Statistical Significance diffrace between A,B and C

Ho: The Statistical Significance diffrace between A,B and C

first i am perfroming the one way ANOVA

SUMMARY
Groups Count Sum Average Variance
A 8 111840.7 13980.09 1.54E+09
B 8 749.68 93.71 44.41586
C 8 10111.13 1263.891 10828828
ANOVA
Source of Variation SS df MS F P-value F crit
Between Groups 9.49E+08 2 4.75E+08 0.919003 0.414373 3.4668
Within Groups 1.08E+10 21 5.16E+08
Total 1.18E+10 23

F-value > P- value

Reject the null Hypothesis in anova between the Group

calultate Bonferroni- Holm test:

alpha = 0.05

t test Bonferroni Rank Holm
A B 0.333615 0.017 2 0.025
B C 0.331586 0.017 1 0.017
C A 0.376276 0.017 3 0.05

frist i am possibel all combination of group find out so three possible combination of above AB, BC, CA then calultate the T-test of each combination, then next calculate Bonferroni value in formula is Given by

Bonferroni = alpha/3

3 becouse the all possible combination group

then Rank decided by the t- test value.

last calultate the Holm value of formula is:

Holm = alpha/(3 -Rank+1)

so compaire the all holm value in t test value so Accept the null hypothesis it's mean's that there is no statistical signifiance diffrance between three drugs A, B, C


Related Solutions

Imagine you are testing for the effects of two experimental drugs (data sets B and C)relative...
Imagine you are testing for the effects of two experimental drugs (data sets B and C)relative to a control group (Data set A) on a physiological variable. Data set A: 105.51,111.46,104.35,115.27,113.98,119.18,116.45,119.98 Data set B: 93.63,88.90,95.03,86.08,85.86,98.22,105.46,96.50 Data set C: 95.12,97.12,94.08,99.78,101.44,101.27,104.70,103.70 a) Conduct an ANOVA on the data set. Show all calculations, table of results, and state your conclusion. Please show the calculations.
Imagine you are testing for the effects of two experimental drugs (data sets B and C)relative...
Imagine you are testing for the effects of two experimental drugs (data sets B and C)relative to a control group (Data set A) on a physiological variable. Data set A: 105.51,111.46,104.35,115.27,113.98,119.18,116.45,119.98 Data set B: 93.63,88.90,95.03,86.08,85.86,98.22,105.46,96.50 Data set C: 95.12,97.12,94.08,99.78,101.44,101.27,104.70,103.70 b) Use the Bonferroni-Holm (regardless of whether part “a” is significant or not) to examine all pairwise comparisons. Show all your calculations and state your conclusions.
A researcher is testing 4 different blood coagulation drugs. The drugs are labeled A,B,C and D....
A researcher is testing 4 different blood coagulation drugs. The drugs are labeled A,B,C and D. He is interested in how the drugs affect the blood coagulation rates of mice. The coagulation rate is the time in seconds that it takes for a cut to stop bleeding. He has 16 mice available for the experiment, so he will use 4 on each drug, randomized. A B C D 62 63 68 56 60 67 66 62 63 71 71 60...
Question 1: A researcher is testing 4 different blood coagulation drugs. The drugs are labeled A,B,C...
Question 1: A researcher is testing 4 different blood coagulation drugs. The drugs are labeled A,B,C and D. He is interested in how the drugs affect the blood coagulation rates of mice. The coagulation rate is the time in seconds that it takes for a cut to stop bleeding. He has 16 mice available for the experiment, so he will use 4 on each drug, randomized. A                     B                     C                     D 62                    63                    68                    56...
A, B and C be sets. (a) Suppose that A ⊆ B and B ⊆ C....
A, B and C be sets. (a) Suppose that A ⊆ B and B ⊆ C. Does this mean that A ⊆ C? Prove your answer. Hint: to prove that A ⊆ C you must prove the implication, “for all x, if x ∈ A then x ∈ C.” (b) Suppose that A ∈ B and B ∈ C. Does this mean that A ∈ C? Give an example to prove that this does NOT always happen (and explain why...
Averages and variation Consider two data sets A and B. The sets are identical except the...
Averages and variation Consider two data sets A and B. The sets are identical except the high value of the data set B is three times greater than the high value of data set A. (a) How does the median of the two data sets compare? (b) How do the means of the two data sets compare? (c) How do the standard deviations of the two data sets compare? (d) How do the box- and –whisker plots of the two...
Construct a 95% confidence interval for data sets A and B. Data sets A and B...
Construct a 95% confidence interval for data sets A and B. Data sets A and B are dependent. Assume that the paired data came from a population that is normally distributed, and round your final answer to three decimal places. setA: 30 28 47 43 31 setB: 28 24 35 35 22 A) What is the mean of the differences( )? B) What is the standard deviation of the differences( )? C) What is the critical t-value( )? D) What...
An experimental study was conducted in order to compare the effectiveness of two drugs in the...
An experimental study was conducted in order to compare the effectiveness of two drugs in the treatment of hypertension. 60 patients with similar hypertension conditions were included in the study. Researchers randomly assigned 30 hypertensive patients to each treatment group. The patients in group one received drug 1 while those in group two received drug 2. After the treatment, the patients in group one had an average blood pressure of 131.80 with a standard deviation of 2.50, and the patients...
Select two data sets and decide which hypothesis testing discussed in class should be used and...
Select two data sets and decide which hypothesis testing discussed in class should be used and matched with your data set. Construct a 99% confidence interval for a mean difference and Test at a 1% significance level. Use both the P-value and the critical-value approaches to make this test and interpret your results. If you cannot reject the null hypothesis, please adjust to 5% or 10% significance level. East Asia and Pacific Europe and Central Asia Difference 9.67104 7.51427 2.15677...
Given two sets of data, A and B. i) Data set A has an r value...
Given two sets of data, A and B. i) Data set A has an r value of -.81 and data set B has an r value of .94 Describe the differences between the two data sets as completely as you can using the regression information we have learned. ii) Which linear regression equation, the one for A or the one for B, would probably be a better predictor? Why?
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT