ELEMENTARY STATISTICS USING EXCEL
7th Edition
ISBN: 9780136921721
Author: Triola
Publisher: RENT PEARS
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The following relates to Problems 4 and 5.
Christchurch, New Zealand experienced a major earthquake on February 22, 2011. It destroyed 100,000
homes. Data were collected on a sample of 300 damaged homes. These data are saved in the file called
CIEG315 Homework 4 data.xlsx, which is available on Canvas under Files. A subset of the data is
shown in the accompanying table. Two of the variables are qualitative in nature: Wall construction and
roof construction. Two of the variables are quantitative: (1) Peak ground acceleration (PGA), a measure
of the intensity of ground shaking that the home experienced in the earthquake (in units of acceleration of
gravity, g); (2) Damage, which indicates the amount of damage experienced in the earthquake in New
Zealand dollars; and (3) Building value, the pre-earthquake value of the home in New Zealand dollars.
PGA (g) Damage (NZ$) Building Value (NZ$) Wall Construction Roof Construction
Property ID
1
0.645
2
0.101
141,416
2,826
253,000
B
305,000
B
T
3…
Rose Par posted Apr 5, 2025 9:01 PM
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To: Store Owner
From: Rose Par, Manager
Subject: Decision About Selling Custom Flower Bouquets
Date: April 5, 2025
Our shop, which prides itself on selling handmade gifts and cultural items, has
recently received inquiries from customers about the availability of fresh flower
bouquets for special occasions. This has prompted me to consider whether we
should introduce custom flower bouquets in our shop. We need to decide
whether to start offering this new product. There are three options: provide a
complete selection of custom bouquets for events like birthdays and
anniversaries, start small with just a few ready-made flower arrangements, or do
not add flowers.
There are also three possible outcomes. First, we might see high demand, and the
bouquets could sell quickly. Second, we might have medium demand, with a few
sold each week. Third, there might be low demand, and the flowers may not sell
well, possibly going to waste. These outcomes…
Consider the state space model X₁ = §Xt−1 + Wt, Yt
=
AX+Vt, where Xt
Є R4
and Y E R². Suppose we know the covariance matrices for Wt and Vt. How many
unknown parameters are there in the model?
Knowledge Booster
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