More on sampling distribution of prices

Do the same thing, but now create a vector called sample_means150 to store means of samples of size 150.

Describe the shape of this sampling distribution, and compare it to the sampling distribution for a sample size of 50. Based on this sampling distribution, what would you guess to be the mean sale price of homes in Ames?

This exercise is part of the course

Data Analysis and Statistical Inference

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Exercise instructions

Create sample_means150 and populate it with the means of 5000 samples of size 150.
Finish with drawing histograms of both sample_means50 and sample_means150.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# The ames data frame and area and price objects are already loaded into the workspace
# sample_means50 is already loaded.

# Initialize sample_means150
sample_means150 <-

# Finish the for loop
for (i in 1:___) {

}

# Draw histograms of sample_means50 and sample_means150

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