<span>1. Samples of size n = 150 are randomly selected from the U.S. census data, and the income range is found for each sample. What is the distribution of the sample ranges?
skewed to the right normal (approximately) <u>skewed to the left</u> not enough information provided
2. Samples of size n = 60 are randomly selected from the population of numbers (0 through 9) produced by a random-number generator, and the mean is taken for each sample. What is the distribution of the sample means?
<u>normal (approximately)</u> not enough information provided skewed to the right skewed to the left
3. Samples of size n = 250 are randomly selected from the U.S. census data, and the median income is found for each sample. What is the distribution of the sample medians?
normal (approximately) not enough information provided <u>skewed to the left</u> skewed to the right</span> Hope this helps answer your question and have a nice day ahead.
Step-by-step explanation:Ranges are biased. Therefore normal distribution is not applicable.
Unbiased are mean, proportions and variance (skewed to the right). Never are we provided enough information for range and median. The answer is: not enough information.
Hence for both ranges and medians the correct answer is: not enough information. 1 and 3.
True I’m pretty sure: Climate can change without studying weather patterns, you don’t need to study them for climate to be established. If i’m wrong sorry
