Question

Is there a difference in the car brand's countries for Midwesterners and people from the west coast? Of the 165 randomly selected Midwesterners surveyed 60 had an American car, 85 had a car from Asia, and 20 had a cars from another country. Of the 170 randomly selected people from the west coast who were surveyed, 47 had an American car, 83 had a car from Asia, and 40 had a car from outside of the US and Asia. Conduct the appropriate hypothesis test using an α = 0.01 level of significance. What is the correct statistical test to use? Independence Goodness-of-Fit Paired t-test Homogeneity What are the null and alternative hypotheses? H 0 : Address and car brand's countries are dependent. The distribution of car brand's countries is not the same for Midwesterners and people from the west coast. Address and car brand's countries are independent. The distribution of car brand's countries is the same for Midwesterners and people from the west coast. H 1 : Address and car brand's countries are independent. The distribution of car brand's countries is not the same for Midwesterners and people from the west coast. Address and car brand's countries are dependent. The distribution of car brand's countries is the same for Midwesterners and people from the west coast. The test-statistic for this data = (Please show your answer to three decimal places.) The p-value for this sample = (Please show your answer to four decimal places.) The p-value is α Based on this, we should accept the null reject the null fail to reject the null Thus, the final conclusion is... There is sufficient evidence to conclude that address and car brand's countries are dependent. There is insufficient evidence to conclude that the distribution of car brand's countries is not the same for Midwesterners and people from the west coast. There is insufficient evidence to conclude that address and car brand's countries are independent. There is sufficient evidence to conclude that the distribution of car brand's countries is the same for Midwesterners and people from the west coast. There is sufficient evidence to conclude that the distribution of car brand's countries is not the same for Midwesterners and people from the west coast.

Answer #1

A researcher is interested in investigating whether religious
affiliation and the brand of sneakers that people wear are
associated. The table below shows the results of a survey.
Frequencies of Religions and Sneakers
NikeAdidasOther
Protestant7395106
Catholic696583
Jewish171840
Other907476
What can be concluded at the αα = 0.05 significance level?
What is the correct statistical test to use?
Paired t-test
Independence
Homogeneity
Goodness-of-Fit
What are the null and alternative hypotheses?
H0:H0:
Sneaker brand and religious affiliation are dependent.
Sneaker brand and...

You want to see if it makes a difference which lane to be in
when there is traffic. You randomly observe 332 cars as they pass
by on the four lane freeway. The results are displayed in the table
below. Use a level of significance of αα = 0.01.
Complete the rest of the table by filling in the expected
frequencies:
Frequency of Cars in Each Lane
Outcome
Frequency
Expected Frequency
Lane 1
66
Lane 2
109
Lane 3
84...

A restaurant manager is interested in investigating whether the
main course ordered and the dessert ordered are related. The table
below shows the results of a survey.
Frequencies of Food Preference and Dessert
Types
Fish
Meat
Vegetarian
Cake
91
99
48
Ice Cream
108
101
48
Pie
117
110
41
What can be concluded at the αα = 0.10 significance level?
What is the correct statistical test to use?
Goodness-of-Fit
Independence
Homogeneity
Paired t-test
What are the null and alternative...

An economist wonders if corporate productivity in some countries
is more volatile than in other countries. One measure of a
company's productivity is annual percentage yield based on total
company assets.
A random sample of leading companies in France gave the following
percentage yields based on assets.
4.6
5.6
3.4
3.9
2.7
3.5
2.8
4.4
5.7
3.4
4.1
6.8
2.9
3.2
7.2
6.5
5.0
3.3
2.8
2.5
4.5
Use a calculator to verify that the sample variance is
s2 ≈...

Consider the following data for a dependent variable y
and two independent variables, x1and
x2.
x1
x2
y
30
12
96
47
10
108
25
17
112
51
16
178
40
5
94
51
19
175
74
7
170
36
12
117
59
13
142
76
16
211
The estimated regression equation for these data is ŷ =
−17.33 + 2.00x1 +
4.73x2.
Here, SST = 15,002.1, SSR = 13,887.5,
sb1 =
0.2454,and
sb2 =
0.9417.
(a)Test for a significant...

What is your favorite color? A large survey of countries,
including the United States, China, Russia, France, Turkey, Kenya,
and others, indicated that most people prefer the color blue. In
fact, about 24% of the population claim blue as their favorite
color.† Suppose a random sample of n = 59 college students
were surveyed and r = 11 of them said that blue is their
favorite color. Does this information imply that the color
preference of all college students is...

An economist wonders if corporate productivity in some countries
is more volatile than in other countries. One measure of a
company's productivity is annual percentage yield based on total
company assets.
A random sample of leading companies in France gave the following
percentage yields based on assets.
4.2
5.3
3.4
3.1
2.7
3.5
2.8
4.4
5.7
3.4
4.1
6.8
2.9
3.2
7.2
6.5
5.0
3.3
2.8
2.5
4.5
Use a calculator to verify that the sample variance is
s2 ≈...

An economist wonders if corporate productivity in some countries
is more volatile than in other countries. One measure of a
company's productivity is annual percentage yield based on total
company assets.
A random sample of leading companies in France gave the following
percentage yields based on assets.
4.2
5.4
3.2
3.4
2.9
3.5
2.8
4.4
5.7
3.4
4.1
6.8
2.9
3.2
7.2
6.5
5.0
3.3
2.8
2.5
4.5
Use a calculator to verify that the sample variance is
s2 ≈...

An economist wonders if corporate productivity in some countries
is more volatile than in other countries. One measure of a
company's productivity is annual percentage yield based on total
company assets.
A random sample of leading companies in France gave the following
percentage yields based on assets.
4.2
5.3
3.1
3.9
2.4
3.5
2.8
4.4
5.7
3.4
4.1
6.8
2.9
3.2
7.2
6.5
5.0
3.3
2.8
2.5
4.5
Use a calculator to verify that the sample variance is
s2 ≈...

An economist wonders if corporate productivity in some countries
is more volatile than in other countries. One measure of a
company's productivity is annual percentage yield based on total
company assets.
A random sample of leading companies in France gave the following
percentage yields based on assets.
4.7
5.2
3.6
3.7
2.1
3.5
2.8
4.4
5.7
3.4
4.1
6.8
2.9
3.2
7.2
6.5
5.0
3.3
2.8
2.5
4.5
Use a calculator to verify that the sample variance is
s2 ≈...

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