Answer:
a

b

Here the probability of koalas mean temperature being less than 35 °C is very small hence the koalas are not healthy
c
A potential confounding variable for this study is the population of the koalas because in the first question the population was not taken into account and the probability was
but when the population was taken into account (i.e n = 30) the probability became
Step-by-step explanation:
From the question we are told that
The mean is 
The standard deviation is 
The sample size is n = 30
Generally the probability that a health koala has a body temperature less than 35.0°C is mathematically represented as

Here 
So

From the z-table P(Z < -0.46) = 0.323
So

Converting to percentage


considering question b
The sample mean is 
Generally the standard error of the mean is mathematically represented as

=> 
=> 
Generally the probability of the mean body temperature of koalas being less than 35.0°C is mathematically represented as


From the z-table we have that

So
![P(\= X < 35) = 0.006 /tex] Converting to percentage [tex]P(\= X < 35) = 0.006 * 100](https://tex.z-dn.net/?f=P%28%5C%3D%20X%20%20%3C%2035%29%20%3D%200.006%20%2Ftex%5D%20%3C%2Fp%3E%3Cp%3EConverting%20to%20percentage%20%3C%2Fp%3E%3Cp%3E%20%20%20%20%20%20%20%5Btex%5DP%28%5C%3D%20X%20%20%3C%2035%29%20%3D%20%20%200.006%20%20%2A%20100%20)

Here the probability of koalas mean temperature being less than 35 °C is very small hence the koalas are not healthy
A potential confounding variable for this study is the population of the koalas because in the first question the population was not taken into account and the probability was
but when the population was taken into account (i.e n = 30) the probability became