Final answer:
The heights of a sample of adults are likely to be normally distributed, while the other types of data mentioned are not likely to be normally distributed.
Step-by-step explanation:
The heights of a sample of adults are likely to be normally distributed. A normal distribution is characterized by a bell-shaped curve where the majority of the data falls near the mean. In this case, the heights of adults in the population tend to cluster around the average height, with fewer individuals at extreme heights. This can be observed by measuring the heights of a sample of adults and creating a histogram, which should resemble a bell-shaped curve.
The other types of data mentioned are not likely to be normally distributed. Income of a random group of people, weights of different animal species, and number of leaves on various trees may all have different distributions depending on various factors. For example, income data may be skewed with a long tail towards higher incomes, while weights of different animal species may follow a skewed or bimodal distribution due to the diversity of animal sizes and body types. The number of leaves on various trees can also differ significantly depending on the species and the health and age of the tree.