You collect data on the number of children for each other woman in a random sample of 100 adult women in the United States. Think about the amount of children most women typically have (is the average 2-3 children or 8-9 children?). Picture or sketch out the distribution of children. The distribution will most likely have what shape?
To determine the shape of the distribution of children in a random sample of adult women in the United States, we can consider the range of possible values and the expected average number of children per woman.
In the United States, the average number of children per woman is around 1.7 to 1.9, which is less than 2. This means the most women tend to have fewer than two children on average.
With this information, we can make an educated guess about the shape of the distribution. In this scenario, the distribution of children is likely to be skewed to the right or positively skewed. This means there will be a longer tail on the right side (higher number of children), and the majority of women will have fewer children.
Keep in mind that this is a general expectation, and the actual distribution may vary from sample to sample. To precisely determine the shape of the distribution, you would need to collect data on the number of children and create a histogram or a frequency plot to visualize the distribution.