Using one the sampling methods described in the first unit of the course, gather an unbiased sample of 30 used 2019 Chevrolet Camaros. Record the sale price, mileage, exterior colo

statistics spreadsheet

Go to a used car website.
Search for 2019 Chevrolet Camaros within 200 miles of your ZIP code.
Using one the sampling methods described in the first unit of the course, gather an unbiased sample of 30 used 2019 Chevrolet Camaros.
Record the sale price, mileage, exterior color, and one of the following: sustained damage or not, convertible or not, or single owner or not.
Using StatCrunch and Word (or another word processing program) complete the write up section below.
Please submit your responses to these questions/tasks as a Word document, pdf file, or using the text entry option.
Write Up:
Identify the population, sample, variables, and individual. For each variable, identify the level of measurement (nominal, ordinal, interval, or ratio) and whether it is quantitative or qualitative.
Describe the sampling method chosen and how it will produce an unbiased sample of the population.
Using StatCrunch, for each of your quantitative variables, calculate and report the sample size, mean, standard deviation, 5 number summary (min, Q1, med, Q3, and max).
For both the price and mileage variables, produce a histogram and a box plot using StatCrunch and copying the pictures over to Word. Interpret these graphs. Hint: You can interpret them by identifying the shape of the distribution, the direction of skew, and identifying potential outliers.
For the exterior color variable, provide a frequency or relative frequency table and a pie chart. Interpret/discuss these results. Hint: You can interpret the results by discussing what is the most frequent and least frequent color.
Upload your data set as well (either as a table in your file with the items listed above, or as a separate CSV or Excel file).
Requirements: complete
Firstname Lastname
Professor Lastname
STA2023
Todays Date
Example Project 1
For this project, I will be using descriptive statistics on a sample of 30 houses for sale in Ruskin, FL. Warning: This is an example project. The topic of your project will be different. Please follow your project directions.
Population, Sample, Individual
The population of interest are all houses for sale in Ruskin, FL. The sample are the 30 houses in Ruskin, FL listed for sale on Zillow.com that were included in the sample. The individual is a house listed for sale in Ruskin, FL.
Variables
Price, measured in thousands of dollars. Price is a quantitative variable at the ratio level of measurement.
Size, measured in square feet. Size is a quantitative variable at the ratio level of measurement.
HOA status (either HOA? or No HOA?). HOA Status is a qualitative variable at the nominal level of measurement.
Pool status (either pool,? spa,? community pool only,? or no pool?). Pool status is a qualitative variable at the nominal level of measurement.
Sampling Method
142 houses were listed for sale in Ruskin, FL on Zillow.com. I used simple random sampling to select a sample of 30 houses. I numbered these houses 1-142 and picked 30 using the random number generator applet on StatCrunch. See the image below.
After generating 30 numbers, I sorted the list to make it easier to use: 1, 2, 4, 26, 28, 29, 34, 36, 47, 55, 61, 64, 66, 68, 80, 84, 90, 94, 96, 97, 101, 112, 118, 120, 125, 127, 130, 132, 135, 142.
Summary Statistics
Graphs for Price Variable
Because the mean (green line on histogram) is slightly to the right/above of the median (red line), the distribution of price is slightly skewed right. Because there is a clear single hump, it is unimodal. The box plot shows that there are 5 outliers (2 dots are on top of each other): 180, 596, 607, 659, and 660 thousand dollars.
Graphs for Size Variable

Because the mean (green line on histogram) is slightly to the right/above of the median (red line), the distribution of size is slightly skewed right. It also appears bimodal. There are no outliers for the size variable.
Pool Status
The most common pool status is for no pool? with 11 houses (36.67% of houses sampled) not having any pool access followed closely by having only community pool access with 10 houses (33.33% of the sampled houses). Eight houses had a pool (26.67% of the sample) and one house had a spa.
Data Set