Question
In: Statistics and Probability
A company has collected its sales data of a certain product for 10 days before and...
A company has collected its sales data of a certain product for 10 days before and after an ad campaign was run. The sales numbers (in thousands) before and after the ad campaign are as follows: before [79, 65, 62, 61, 67, 73, 56, 74, 83, 69], after [65, 76, 75, 44, 71, 66, 57, 68, 78, 74]. The researchers do NOT believe that the underlying distributions are normal, and want to take the magnitude of the difference into account. Apply a suitable statistical test to see whether the campaign was useful. What are the correct test value and decision at a confidence level of 95%?
|
10.5, Not useful |
|
|
33.5, Not useful |
|
|
21.5, Useful |
|
|
33.5, Useful |
|
|
10.5, Useful |
|
|
21.5, Not useful |
Solutions
orchestra answered 2 years agoRelated Solutions
A company has recorded data on the weekly sales for its product (y) ($10), the unit...
A company has recorded data on the weekly sales for its product
(y) ($10), the unit price of the competitor's product
(x1), and advertising expenditures (x2)
($10). The data resulting from a random sample of 7 weeks follows.
Use Excel's Regression Tool to answer the following questions:
Week
Price
Advertising
Sales
1
.33
5
20
2
.25
2
14
3
.44
7
22
4
.40
9
21
5
.35
4
16
6
.39
8
19
7
.29
9
15
1....
Figure 4-10 The Manoli Company has collected the following data for use in calculating product costs:...
Figure 4-10
The Manoli Company has collected the following data for use in
calculating product costs:
Activity Data: (expected and actual)
rug cleaners
sweepers total
units
produced 100,000
250,000 350,000
prime
costs $200,000 $584,000 $784,000
direct labor
hours 10,000 40,000 50,000
machine
hours 20,000 10,000 30,000
number of
setups 25 75 100
inspection
hours 1,600
2,400 4,000
number of
moves 140
160 300
Departmental Data: (expected and actual)
molding assembly total
direct labor hours
rug cleaners 5,000
5,000 10,000
sweepers 5,000
35,000 40,000
total 10,000
40,000 50,000
machine hours
rug cleaners 17,000
3,000 20,000
sweepers
3,000
7,000 10,000
total 20,000
10,000 30,000
overhead costs
machining $130,000
$ 40,000...
A company has recorded data on the weekly sales for its product (y) and the unit...
A company has recorded data on the weekly sales for its product
(y) and the unit price of the competitor’s product
(x). The data resulting from a random sample of 7 weeks
follows. Use Excel’s Regression Tool to answer the following
questions.
A company has recorded data on the weekly sales for its product
(y) and the unit price of the competitor’s product
(x). The data resulting from a random sample of 7 weeks
follows. Use Excel’s Regression Tool to...
10. A manufacturing company that produces a single product has provided the following data concerning its...
10. A manufacturing company that produces a single product has
provided the following data concerning its most recent month of
operations:
Selling price
...........................................................
$100
Units in beginning inventory .......................... 0
Unit produced
...................................................... 5,500
Unit sold
.................................................................
5,400
Unit in ending inventory ...................................
100
Variable costs per unit:
Direct materials ..............................................
$23
Direct labor
...................................................... $25
Variable manufacturing overhead ........... $ 2
Variable selling and administrative ......... $ 9
Fixed costs:
Fixed manufacturing overhead .................. $137,500
Fixed selling and...
From 90 of its restaurants, Noodles & Company managers collected data on per-person sales and the...
From 90 of its restaurants, Noodles & Company managers
collected data on per-person sales and the percent of sales due to
"potstickers" (a popular food item). Both numerical variables
failed tests for normality, so they tried a chi-square test. Each
variable was converted into ordinal categories (low, medium, high)
using cutoff points that produced roughly equal group sizes. At α =
.05, is per-person spending independent of percent of sales from
potstickers?
Per spending: Low Med High Row Total
Low...
From 90 of its restaurants, Noodles & Company managers collected data on per-person sales and the...
From 90 of its restaurants, Noodles & Company managers
collected data on per-person sales and the percent of sales due to
"potstickers" (a popular food item). Both numerical variables
failed tests for normality, so they tried a chi-square test. Each
variable was converted into ordinal categories (low, medium, high)
using cutoff points that produced roughly equal group sizes. At α =
.05, is per-person spending independent of percent of sales from
potstickers?
Per spending: Low Med High Row Total
Low...
From 99 of its restaurants, Noodles & Company managers collected data on per-person sales and the...
From 99 of its restaurants, Noodles & Company managers
collected data on per-person sales and the percent of sales due to
"potstickers" (a popular food item). Both numerical variables
failed tests for normality, so they tried a chi-square test. Each
variable was converted into ordinal categories (low, medium, high)
using cutoff points that produced roughly equal group sizes. At
α = .02, is per-person spending independent of percent of
sales from potstickers?
Potsticker % of Sales
Per Person
Spending
Low...
From 80 of its restaurants, Noodles & Company managers collected data on per-person sales and the...
From 80 of its restaurants, Noodles & Company managers
collected data on per-person sales and the percent of sales due to
"potstickers" (a popular food item). Both numerical variables
failed tests for normality, so they tried a chi-square test. Each
variable was converted into ordinal categories (low, medium, high)
using cutoff points that produced roughly equal group sizes. At
α = .05, is per-person spending independent of percent of
sales from potstickers?
Potsticker % of Sales
Per-Person Spending
Low
Medium...
From 77 of its restaurants, Noodles & Company managers collected data on per-person sales and the...
From 77 of its restaurants, Noodles & Company managers
collected data on per-person sales and the percent of sales due to
"potstickers" (a popular food item). Both numerical variables
failed tests for normality, so they tried a chi-square test. Each
variable was converted into ordinal categories (low, medium, high)
using cutoff points that produced roughly equal group sizes. At α =
.01, is per-person spending independent of percent of sales from
potstickers? Potsticker % of Sales Per Person Spending Low...
From 104 of its restaurants, Noodles & Company managers collected data on per-person sales and the...
From 104 of its restaurants, Noodles & Company managers
collected data on per-person sales and the percent of sales due to
"potstickers" (a popular food item). Both numerical variables
failed tests for normality, so they tried a chi-square test. Each
variable was converted into ordinal categories (low, medium, high)
using cutoff points that produced roughly equal group sizes. At α =
.10, is per-person spending independent of percent of sales from
potstickers? Potsticker % of Sales Per-Person Spending Low Medium...
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