Question

In 2001, the mean household expenditure for energy was $1493, according to data obtained from the U.S. Energy Information Administration. An economist wanted to know whether this amount has changed significantly from its 2001 level. In a random sample of 35 households, he found the mean expenditure (in 2001 dollars) for energy during the most recent year to be $1618, with standard deviation $321.

Use Minitab Express to test the economist's hypothesis at the α = 0.05 level of significance. Report your answers to three decimal places, where applicable. (Or do it by hand)

With a P-value of **(Find P-Value)** ,
do we (**reject** or **fail to reject)**
the null hypothesis.

The given data (**does** / **does
not**) provide significant evidence that the mean household
energy expenditure is (**more than** /
**less than** / **different from**)
$1493.

Answer #1

**from above:**

**With a P-value of 0.027 , we reject the null
hypothesis.
The given data does provide significant evidence that the mean
household energy expenditure is different from 1493**

In 2004, the mean household expenditure on gasoline and motor
oil was $1773, according to data obtained from the U.S. Energy
Information Administration. An economist wanted to know whether
this amount has changed significantly from its 2004 level. In a
random sample of 1750 households, he found the mean expenditure (in
2004 dollars) on gasoline and motor oil during the most recent year
to be $1803, with a standard deviation of $468. Do these results
suggest the amount spend on...

In 2016, the mean household income in Dallas was $39,097. A
researcher thinks that household income has risen since then, and
that the mean household income in Dallas is higher
than $39,097. She gathers income data from a random sample
of 150 Dallas households. The sample has a mean household income of
$40,352, and a standard deviation of 1,875. Based on this
information, test the researcher's hypothesis at a significance
level of .01. Be sure to include all 4 steps.

A politician claims the mean household income in Indiana
is $60,000. A reporter believes it is less than $60,000. The
reporter selects a random sample of 50 Indiana households. The mean
income computed from the 50 people surveyed is $56,000. (Assume the
standard deviation in Indiana household income is
$15,000.)
We wish to do a hypothesis test to determine whether
this provides evidence (at the .05 level) that the mean household
income is less than $60,000. You should complete this...

According to the Energy Information Administration
(official energy statistics from the U.S. government), the mean
price for one gallon of unleaded regular gasoline in U.S. cities
for August, 2011 was $3.64. A random sample of 30 pumps in cities
in the state of Georgia yielded an average price of $3.16 per
gallon for unleaded gasoline. Assume that σ = $0.90. Test whether
the population mean price for unleaded gasoline is lower in Georgia
than the general population, using a significance...

According to the Energy Information Administration (official
energy statistics from the U.S. government), the mean price for one
gallon of unleaded regular gasoline in U.S. cities for August, 2011
was $3.64. A random sample of 30 pumps in cities in the state of
Georgia yielded an average price of $3.16 per gallon for unleaded
gasoline. Assume that σ = $0.90. Test whether the
population mean price for unleaded gasoline is lower in Georgia
than the general population, using a significance...

The type of household for the U.S. population and for a random
sample of 411 households from a community in Montana are shown
below.
Type of Household
Percent of U.S.
Households
Observed Number
of Households in
the Community
Married with children
26%
103
Married, no children
29%
118
Single parent
9%
34
One person
25%
90
Other (e.g., roommates, siblings)
11%
66
Use a 5% level of significance to test the claim that the
distribution of U.S. households fits the...

The type of household for the U.S. population and for a random
sample of 411 households from a community in Montana are shown
below.
Type of Household
Percent of U.S.
Households
Observed Number
of Households in
the Community
Married with children
26%
96
Married, no children
29%
113
Single parent
9%
32
One person
25%
97
Other (e.g., roommates, siblings)
11%
73
Use a 5% level of significance to test the claim that the
distribution of U.S. households fits the...

The type of household for the U.S. population and for a random
sample of 411 households from a community in Montana are shown
below.
Type of Household
Percent of U.S.
Households
Observed Number
of Households in
the Community
Married with children
26%
104
Married, no children
29%
112
Single parent
9%
32
One person
25%
97
Other (e.g., roommates, siblings)
11%
66
Use a 5% level of significance to test the claim that the
distribution of U.S. households fits the...

The type of household for the U.S. population and for a random
sample of 411 households from a community in Montana are shown
below.
Type of Household
Percent of U.S.
Households
Observed Number
of Households in
the Community
Married with children
26%
93
Married, no children
29%
127
Single parent
9%
35
One person
25%
88
Other (e.g., roommates, siblings)
11%
68
Use a 5% level of significance to test the claim that the
distribution of U.S. households fits the...

The type of household for the U.S. population and for a random
sample of 411 households from a community in Montana are shown
below.
Type of Household
Percent of U.S.
Households
Observed Number
of Households in
the Community
Married with children
26%
98
Married, no children
29%
118
Single parent
9%
38
One person
25%
91
Other (e.g., roommates, siblings)
11%
66
Use a 5% level of significance to test the claim that the
distribution of U.S. households fits the...

ADVERTISEMENT

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 5 minutes ago

asked 7 minutes ago

asked 17 minutes ago

asked 19 minutes ago

asked 33 minutes ago

asked 33 minutes ago

asked 33 minutes ago

asked 38 minutes ago

asked 40 minutes ago

asked 40 minutes ago

asked 45 minutes ago

asked 52 minutes ago