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The box plots show the heights of sunflower plants in a random sample of 40 plants from Field A and a random sample of 40 plants from Field B. Why can you use the box plots to make Heights of Sunflower Plants inferences about plant heights at the Field A two sunflower fields?

The random samples are likely to be Field B representative of the population of sunflower plants at each field.
The samples of 40 sunflower plants are Height (ft) both taken from the same population.
The data include all of the plants at each of the sunflower fields.

User Shang Wang
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2 Answers

4 votes

Final answer:

Box plots are used to visually summarize data distributions and are ideal for comparing random samples from different or the same population. They provide insights into the central tendency and variability of the data, which can help infer differences such as the effects of food on plant growth.

Step-by-step explanation:

Box plots are graphical representations that provide a visual summary of data based on the five-number summary: minimum, first quartile (Q1), median, third quartile (Q3), and maximum. They allow us to make inferences about the distribution of data and to compare the distributions of different samples. When evaluating box plots from two fields of sunflower plants, they can be used to infer things about the plant heights in each field. For example, if the median of Field A is higher than Field B, it suggests that sunflower plants in Field A are typically taller than those in Field B. Furthermore, the spread of the data can indicate the variability of plant heights within each field.

The shape of each box plot can give us information about the symmetry and outliers in the data. A box plot with a long left whisker, as mentioned, suggests a wider spread of lower data points, potentially indicating more variability in those values. Conversely, a box plot with a long right whisker would suggest a spread of higher values. If the box plot is symmetrical, it suggests a more normal distribution of data. Inferences about plant growth, such as the effect of food on plant height shown in Table 10.19, can be made by comparing the central tendency and spread of the box plots of groups with and without food.

In statistics, the use of random samples is crucial because they are likely to be representative of the entire population, assuming the population has a normal distribution. Samples taken from the same population, as suggested in the question, allow for direct comparisons since the two groups would be expected to encounter similar growing conditions and genetic factors, except for the specific variables being tested like light exposure in the tobacco seed experiment.

User Gregor Ojstersek
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7.4k points
3 votes

Answer:

the random samples are likely to be representative of the population of sunflower plants at each field

Step-by-step explanation:

took the test and got it right

User Marius T
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