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Diamond Pricing. In a Singapore edition of Business Times. diamond pricing was explored. The price of a diamond is based on the diamond's weight, color, and clarity. A simple random sample of 18one-half-carat diamonds had the following prices, in dollars.

a. Apply the t-interval procedure to these data to find a 90%confidence interval for the mean price of all one-half-carat diamonds. Interpret your result. (Note: x¯=\(1964.7and s=\)206.5)

b. Obtain a normal probability plot, a boxplot, and a histogram. and a stem-and-leaf diagram of the data.

c. Based on your graphs from part (b), is it reasonable to apply the t-interval procedure as you did in part (a)? Explain your answer.

Short Answer

Expert verified

Part (a) We can be 90% confident that the mean price of all one-half carat diamonds, μ lies somewhere between $1880.1 and $2049.4

Part (b)

Leaf Unit =10

Stem Leaf

11441152167317151827(6)194488997203774210422231231

Part (c) No.

Step by step solution

01

Part (a) Step 1: Given information

167614421995171818262071194719832146
199518762032198820712234210819412316
02

Part (a) Step 2: Explanation

t-When using the interval process on the supplied data, we wish to get the 90% confidence interval of the population mean μ, therefore (1880.1,2049.4) is the 90% confidence interval of the population mean μ

[Using MINITAB]

i.e., we may be 90% certain that the average price of all half-carat diamonds, μ, is between $1880.1 and $$ 2049.4$.

03

Part (b) Step 1: Explanation

Now, draw the probability plot for the given data.

Now, construct the box plot for the given data.

Now, construct the histogram for the given data.

04

Part (b) Step 2: Calculation

Create the stem-and-leaf for the supplied data collection now.

Stem-and-Leaf Display: PRICE

Leaf Unit =10

Stem Leaf

11441152167317151827(6)194488997203774210422231231

05

Part (c) Step 1: Explanation

No, the t-interval technique is not appropriate for the data. Because the sample is of a reasonable size and the graphical representations reveal that the data contains an outlier (observation 1442).

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