A scientist believes that one compound called CLDX1 is able to cause cancer by inhibiting the function of p53 and tumor suppressor gene. He treats 10 mice with CLDX and compares them with 12 mice treated with a control, called the coadjuvant. He follows them for two years and records the number of tumors found in individual mice. Results are given below. 1. Create a graph that plots these results. Making sure that you include error bars and t-test results. Also include a figure legend and don’t forget to label everything correctly. You should use Excel to create that graph and then paste it right next to the table.
CONTROL . CLDX1
3 5
0 6
2 8
0 2
2 5
1 4
0 4
3 3
4 7
2 5
0 -
1 -
What is the p-value of your t-test?
3-Write ONE sentence explaining what these p-value means.
4-Write ONE sentence stating the major conclusion from your data analysis.
t-Test: Two-Sample Assuming Unequal Variances | ||
CLDX1 | control | |
Mean | 4.9 | 1.5 |
Variance | 3.211111 | 1.909091 |
Observations | 10 | 12 |
Hypothesized Mean Difference | 0 | |
df | 17 | |
t Stat | 4.906445 | |
P(T<=t) one-tail | 6.67E-05 | |
t Critical one-tail | 1.739607 | |
P(T<=t) two-tail | 0.000133 | |
t Critical two-tail | 2.109816 |
P-value = 6.67E-05 , which is less than 0.05 means it is statistically significant.
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We have enough evidence to support the claim that the mean of CLDX1 is greater than control . ie. CLDXq causes Cancer
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