Hello the link below is a statchunch with the data that will answer the question below , please open it and help me with the answers.

https://www.statcrunch.com/app/index.html?dataid=4644764#

1. Using StatCrunch calculate the following summary statistics for price:

Mean =

Median =

Standard deviation =

Minimum value =

Maximum value =

25^th percentile =

75^th percentile =

2. Using StatCrunch, construct a histogram of price. Include the labels on the histogram and copy/paste that histogram into your answer. What does the shape of the histogram suggest about the distribution of prices?

3. Using StatCrunch, calculate the mean price for diamonds with each of the following cuts: fair, good, very good, premium, and ideal.

Which cut has the highest mean price? the lowest mean price?

Cut	Mean price
Fair
Good
Very good
Premium
Ideal

4. Using StatCrunch, construct a boxplot of price by cut. Copy/paste that boxplot in your answer. What does the visualization tell you about the distribution of prices for each cut?

5. Using StatCrunch, calculate the proportion of diamonds with each of the following colors: D, E, F, G, H, I, J.

Which color is the most common? least common?

Color	Proportion (Do not round)
D
E
F
G
H
I
J

6. Using StatCrunch, calculate the mean price for diamonds with each of the following clarities: IF, I1, SI1, SI2, VS1, VS2, VVS1, and VVS2. Round to the nearest dollar. Which clarity has the highest mean price? lowest mean price?

Clarity	Mean price
I1
SI1
SI2
VS1
VS2
VVS1
VVS2
IF

7. Using StatCrunch, calculate the correlation coefficient between price and carat. Include that information in your answer. What does this tell you about the relationship between the two variables?

8. Using StatCrunch, construct a scatterplot of price and carat. Copy/paste that scatterplot in your answer. What does this visualization tell you about the relationship between price and carat weight?

9. Provide a brief summary of your findings form this analysis. What insights did you gain from the summary statistics and visualizations? Are there any limitations to this analysis that you should be aware of?