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Researchers examined a new treatment for advanced ovarian cancer in a mouse model. They created a nanoparticle-based delivery system for a suicide-gene therapy to be delivered directly to the tumor cells. The mice were randomly assigned to have their tumor injected with either the gene-nanoparticle combination, the gene alone, or some buffer solution (placebo). The table below shows the tumor fold-increases after two weeks in a total of 29 mice. A fold-increase of 1 represents no change; a 2 represents a doubling in volume of the tumor. Buffer 9.1 8.1 7.8 7.0 6.8 5.4 5.4 4.1 3.8 3.3 Gene 5.6 5.3 5.6 4.3 3.9 3.4 2.7 3.0 3.3 Gene+Nano 4.1 3.5 2.1 2.1 1.8 1.8 1.2 1.1 1.1 1.4 We want to test the null hypothesis that there is no difference in population mean tumor fold-increase for the 3 treatments. Buffer Gene Gene + Nano Mean 6.08 4.12 2.02 SD 1.98 1.14 1.02 The ANOVA procedure relies on three important assumptions to be valid. (1) The data are independent random samples. (2) The populations are normally distributed or the sample sizes are large enough. (3) The populations have the same standard deviation S. In the case of this ANOVA test, which of the following is correct? A) Assumption (1) is the only assumption not satisfied. B) Assumption (2) is the only assumption not satisfied. C) Assumption (3) is the only assumption not satisfied. D) All the test assumptions are satisfied.

          Researchers examined a new treatment for advanced ovarian cancer in a mouse model. They created a nanoparticle-based delivery system for a suicide-gene therapy to be delivered directly to the tumor cells. The mice were randomly assigned to have their tumor injected with either the gene-nanoparticle combination, the gene alone, or some buffer solution (placebo). The table below shows the tumor fold-increases after two weeks in a total of 29 mice. A fold-increase of 1 represents no change; a 2 represents a doubling in volume of the tumor.

Buffer
9.1
8.1
7.8
7.0
6.8
5.4
5.4
4.1
3.8
3.3

Gene
5.6
5.3
5.6
4.3
3.9
3.4
2.7
3.0
3.3

Gene+Nano
4.1
3.5
2.1
2.1
1.8
1.8
1.2
1.1
1.1
1.4

We want to test the null hypothesis that there is no difference in population mean tumor fold-increase for the 3 treatments.

Buffer
Gene
Gene + Nano
Mean
6.08
4.12
2.02
SD
1.98
1.14
1.02

The ANOVA procedure relies on three important assumptions to be valid.

(1) The data are independent random samples.

(2) The populations are normally distributed or the sample sizes are large enough.

(3) The populations have the same standard deviation S.

In the case of this ANOVA test, which of the following is correct?
A) Assumption (1) is the only assumption not satisfied.
B) Assumption (2) is the only assumption not satisfied.
C) Assumption (3) is the only assumption not satisfied.
D) All the test assumptions are satisfied.
        
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Added by Vincent D.

Elementary Statistics a Step by Step Approach
Elementary Statistics a Step by Step Approach
Allan G. Bluman 9th Edition
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Researchers examined a new treatment for advanced ovarian cancer in a mouse model. They created a nanoparticle-based delivery system for a suicide-gene therapy to be delivered directly to the tumor cells. The mice were randomly assigned to have their tumor injected with either the gene-nanoparticle combination, the gene alone, or some buffer solution (placebo). The table below shows the tumor fold-increases after two weeks in a total of 29 mice. A fold-increase of 1 represents no change; a 2 represents a doubling in volume of the tumor. Buffer 9.1 8.1 7.8 7.0 6.8 5.4 5.4 4.1 3.8 3.3 Gene 5.6 5.3 5.6 4.3 3.9 3.4 2.7 3.0 3.3 Gene+Nano 4.1 3.5 2.1 2.1 1.8 1.8 1.2 1.1 1.1 1.4 We want to test the null hypothesis that there is no difference in population mean tumor fold-increase for the 3 treatments. Buffer Gene Gene + Nano Mean 6.08 4.12 2.02 SD 1.98 1.14 1.02 The ANOVA procedure relies on three important assumptions to be valid. (1) The data are independent random samples. (2) The populations are normally distributed or the sample sizes are large enough. (3) The populations have the same standard deviation S. In the case of this ANOVA test, which of the following is correct? A) Assumption (1) is the only assumption not satisfied. B) Assumption (2) is the only assumption not satisfied. C) Assumption (3) is the only assumption not satisfied. D) All the test assumptions are satisfied.
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Researchers examined a new treatment for advanced ovarian cancer in a mouse model. They created a nanoparticle‑based delivery system for a suicide‑gene therapy to be delivered directly to the tumor cells. The mice were randomly assigned to have their tumor injected with either the gene‑nanoparticle combination, the gene alone, or some buffer solution which was used as a placebo. The table shows the tumor fold‑increases after two weeks in a total of 29 mice. For reference, a fold‑increase of 1 represents no change; a 2 represents a doubling in volume of the tumor. Buffer Gene Gene+Nano 9.1 5.6 4.1 8.1 5.3 3.5 7.8 5.6 2.1 7.0 4.3 2.1 6.8 3.9 1.8 5.4 3.4 1.8 5.4 2.7 1.2 4.1 3.0 1.1 3.8 3.3 1.1 3.3 1.4 We want to test the null hypothesis that there is no difference in population mean tumor fold‑increase for the three treatments. Using technology, identify the correct summary statistics for these data?

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Transcript

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00:01 So to begin here, we know that there is going to be a placebo group and a treatment group.
00:09 We know that because the placebo is just getting the buffer solution, whereas the treatment group is getting some sort of treatment, we know that these two would be independent.
00:21 However, when we consider the treatment group, the treatment group itself actually breaks down into two different groups.
00:28 We have the gene group and the gene plus nano.
00:37 So these two samples would be not independent.
00:46 If the gene treatment does have some sort of effect, then that effect would be compounded by the addition of the gene nanoparticle combination, but we can't separate out the gene plus or we effectively can't separate out what the effect of the nanoparticle is from the gene in that combination case so that means that we violate the first listed requirement we violate requirement one which requires for anova that the samples are independent random samples.
01:41 So, because of that, we'd have to choose option one.
01:48 Or, pardon me, we'd have to choose option a.
01:52 Assumption 1 is the only assumption not satisfied...
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