We are interested in looking at the percentage of households that own dogs in the U.S. and England. We are given the following information:
Number of people Surveyed | Number of people who own a dog | |
U.S. | 700 | 294 |
England | 850 | 391 |
The point estimate for the difference in proportions between people in the U.S. who own dogs and people in England who own dogs is:
a. |
0.04 |
|
b. |
0.0716 |
|
c. |
-0.04 |
|
d. |
-0.0716 |
We are interested in looking at the percentage of households that own dogs in the U.S. and England. We are given the following information:
Number of people Surveyed | Number of people who own a dog | |
U.S. | 700 | 294 |
England | 850 | 391 |
What is the p-value for this test if we are interested in testing to see if there is simply a difference in the proportions of people who own dogs in the U.S. and England?
a. |
0.0571 |
|
b. |
.10 < p-value < .20 |
|
c. |
0.9429 |
|
d. |
0.1142 |
We are interested in comparing the average price of cars in 2015 and 2010. We are given the following data:
2010 | 2015 | |
Sample Mean | $29,217 | $31,252 |
Sample Standard Deviation | $4,560 | $3,942 |
Sample Size | 30 | 22 |
Find the 95% confidence interval for the difference from 2015 to 2010.
a. |
(-341.145, 4411.14) |
|
b. |
(-4411.14, 341.145) |
|
c. |
(1998.45, 2071.55) |
|
d. |
(-2071.55, 1998.45) |
We are interested in comparing the average price of cars in 2015 and 2010. We are given the following data:
2010 | 2015 | |
Sample Mean | $29,217 | $31,252 |
Sample Standard Deviation | $4,560 | $3,942 |
Sample Size | 30 | 22 |
The test statistic is:
a. |
t= -1.72 |
|
b. |
z= 1.72 |
|
c. |
t= 1.72 |
|
d. |
z= -1.72 |
We are interested in studying the difference in mile running times for beginners 30 days into training and then 90 days into training to see if they have made significant improvements. The following data is provided:
Runner | 30 days | 90 days |
1 | 10.2 | 9.8 |
2 | 9.7 | 8.75 |
3 | 8.9 | 8.0 |
4 | 11.6 | 10.9 |
5 | 12.9 | 12.2 |
What is the average difference between 30 days and 90 days?
a. |
3.65 |
|
b. |
0.73 |
|
c. |
-0.73 |
|
d. |
0.59 |
We are interested in studying the difference in mile running times for beginners 30 days into training and then 90 days into training to see if they have made significant improvements. The following data is provided:
Runner | 30 days | 90 days |
1 | 10.2 | 9.8 |
2 | 9.7 | 8.75 |
3 | 8.9 | 8.0 |
4 | 11.6 | 10.9 |
5 | 12.9 | 12.2 |
The test statistic is:
a. |
t=0.2168 |
|
b. |
z=7.5292 |
|
c. |
t= -7.5292 |
|
d. |
t= 7.5292 |
We are given that:
Number of people Surveyed | Number of people who own a dog | |
U.S. | 700 | 294 |
England | 850 | 391 |
Proportion of people in the England who own dogs = 391/850 = 0.46
Proportion of people in the US who own dogs = 294/700 = 0.42
The difference in proportions between people in the US who own dogs and people in England who own dogs = 0.42 - 0.46 = -0.04
Option c.-0.04 is correct.
We are given that n1 = 700, p1= 294/700 = 0.42, n2 = 850, p2= 391/850 = 0.46
q = 1 -p= 0.5581
Test statistic is:
Z = (0.42 - 0.46)/0.0253 =- 1.58
you can use excel function ''2*NORMSDIST(-1.58) will get p-value 01142
Correct option is d.0.1142.
Hope this will helpful. Thanks and God Bless You:)
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