a. In words, define the random variable X1 = b. Họ: and X2 = с. На

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
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2. Due to increasing fuel prices a taxi company tested a new technology that is said increase fuel
efficiency. They randomly chose 12 cars and measured how many kilometers travelled per liter
with and without the technology. The results were given below. Is there sufficient evidence that
the technology effectively increased fuel efficiency? Use a-0.1.
CAR
WITHOUT
WITH
TECHNOLOGY
TECHNOLOGY
15
18
2
16
16
3
17
18
4
17
19
17
17
6.
18
15
7
18
18
18
20
9
17
20
10
16
15
11
18
20
12
17
16
In words, define the random variable X1 =
b. Но:
Ha:
d. The level of significance is
e. Determine the test statistic using the data (show solution).
f. Provide the decision rule of the test.
g. Decision:
h. Write a clear conclusion using the format:
a.
and X2 =
с.
A
i. <There is / There is no> sufficient evidence to reject the null hypothesis that G
<insert null hypothesis in words> at <_% level of significance>.
Transcribed Image Text:2. Due to increasing fuel prices a taxi company tested a new technology that is said increase fuel efficiency. They randomly chose 12 cars and measured how many kilometers travelled per liter with and without the technology. The results were given below. Is there sufficient evidence that the technology effectively increased fuel efficiency? Use a-0.1. CAR WITHOUT WITH TECHNOLOGY TECHNOLOGY 15 18 2 16 16 3 17 18 4 17 19 17 17 6. 18 15 7 18 18 18 20 9 17 20 10 16 15 11 18 20 12 17 16 In words, define the random variable X1 = b. Но: Ha: d. The level of significance is e. Determine the test statistic using the data (show solution). f. Provide the decision rule of the test. g. Decision: h. Write a clear conclusion using the format: a. and X2 = с. A i. <There is / There is no> sufficient evidence to reject the null hypothesis that G <insert null hypothesis in words> at <_% level of significance>.
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