Final answer:
A contingency table was created using given data on lizard species survival rates following a bacterial infection. The proportion of lizards that were either species A or B was calculated to be 15/38, and the probability that a species C lizard did not survive is 11/23.
Step-by-step explanation:
Contingency Table Creation and Probability Calculation
To answer the student's question, let's start by constructing a contingency table using the information provided about the lizard species and survival rates after bacterial infection. Let's also solve for the proportion of lizards that are either species A or B, and the probability that a species C lizard did not survive.
Part A: Contingency Table
Let's start with species B. We know there were 15 of species B, and 40% survived, which equals 6 surviving and 9 not surviving (since 15 * 0.4 = 6).
For species C, more survived than died, so if 'x' is the number of those who died, 'x+1' is the number who survived. Given that 24 lizards died, we can express this as x + (x+1) = 24, yielding x = 11.5. Since we cannot have half a lizard, we must assume that the number of deaths for species C was 11, leading to 12 surviving (since one more survived than died).
For species A, we know one-third of the 24 lizards that died were of species A, so 8 of species A died. The total of species A can be deduced by subtracting the sum of species B and C lizards from the 38 total lizards, which is 38 - (15+23) = 0. So there were no surviving lizards of species A.
The contingency table would look like this:
Species
Survived
Did Not Survive
A
0
8
B
6
9
C
12
11
Part B: Proportion of Species A or B
There are no lizards of species A that survived, and there were 15 lizards of species B. So the total lizards that are either species A or B is 15 (all of which are species B). The proportion of these lizards in the study is 15/38.
Part C: Probability for Species C
For species C, 12 survived and 11 did not. Therefore, the probability that a species C lizard did not survive is 11/(12+11), which is 11/23.