A researcher working
for the Ray-Ban Corporation decides to perform a hypothesis test to
investigate whether there is a significant positive
correlation
between monthly temperature and number of sunglasses sold at one of
their locations.
The researcher randomly selected the following sample from this
location.
Monthly Temperature
(°F) Number
of Sunglasses Sold
80 91
61 34
56 66
99 72
71 74
95 125
43 65
The decision rule for this hypothesis test at α= 5% is:
| a. |
Reject Ho if the test statistic is greater than the critical r value r α = 0.58. |
|
| b. |
Reject Ho if the test statistic is less than the critical r value r α = - 0.58. |
|
| c. |
Reject Ho if the test statistic is greater than the critical r value r α = 0.67. |
|
| d. |
Reject Ho if the test statistic is either less than the critical r value r α = - 0.75 or greater than the critical r value r α = 0.75 |
|
| e. |
Reject Ho if the test statistic is less than the critical r value r α = - 0.67. |
Here we have to test Ho :
= 0 Vs Ha :
> 0
For level of significance a = 0.05 and d.f =n -2 = 5
r critical = ra = 0.67
So the decision rule is
Reject Ho if the test statistic is greater than the critical r value r α = 0.67
A researcher working for the Ray-Ban Corporation decides to perform a hypothesis test to investigate whether...
A researcher working for the Ray-Ban Corporation decides to
perform a hypothesis test to investigate whether there is a
significant positive correlation
between monthly temperature and number of sunglasses sold at one of
their locations.
The researcher randomly selected the following sample from this
location.
The researcher randomly selected the following sample from this location. Monthly Temperature (°F) Number of Sunglasses Sold 80 91 61 34 56 66 99 72 71 74 95 125 43 65 (TEMP SUMS: x =...
A researcher working for the Ray-Ban Corporation decides to perform a hypothesis test to investigate whether there is a significant positive correlation between monthly temperature and number of sunglasses sold at one of their locations. The researcher randomly selected the following sample from this location. Monthly Temperature (°F) Number of Sunglasses Sold 80 91 61 34 56 66 99 72 71 74 95 125 43 65 The sample...
A researcher working for the Ray-Ban Corporation decides to perform a hypothesis test to investigate whether there is a significant positive correlation between monthly temperature and number of sunglasses sold at one of their locations. The researcher randomly selected the following sample from this location. Monthly Temperature (°F) Number of Sunglasses Sold 80 91 61 34 56 66 99 72 71 74 95 125 43 65 (TEMP SUMS: 2x = 505; E x2 = 38,973) (NBR SUMS: 2 x =...
A researcher working for the Ray-Ban Corporation decides to perform a hypothesis test to investigate whether there is a significant positive correlation between monthly temperature and number of sunglasses sold at one of their locations. The researcher randomly selected the following sample from this location. Monthly Temperature (°F) Number of Sunglasses Sold 80 91 61 34 56 66 99 72 71 74 95 125 43 65 (TEMP SUMS: 2x = 505; E x2 = 38,973) (NBR SUMS: 2 x =...
A researcher working for the Ray-Ban Corporation decides to perform a hypothesis test to investigate whether there is a significant positive correlation between monthly temperature and number of sunglasses sold at one of their locations. The researcher randomly selected the following sample from this location. Monthly Temperature (°F) Number of Sunglasses Sold 80 91 61 34 56 66 99 72 71 74 95 125 43 65 Using the coefficient of determination, which statement is correct? a. 37% of the variability in the number of sunglasses sold per month...
152
A researcher working for the Ray-Ban Corporation decides to perform a hypothesis test to investigate whether there is a significant positive correlation between monthly temperature and number of sunglasses sold at one of their locations. The researcher randomly selected the following sample from this location. Monthly Temperature (°F) Number of Sunglasses Sold 80 91 61 34 56 66 99 72 71 74 95 125 43 65 (TEMP SUMS: 2x = 505; E x2 = 38,973) (NBR SUMS: 2 x...
A researcher working for the Ray-Ban Corporation decides to perform a hypothesis test to investigate whether there is a significant positive correlation between monthly temperature and number of sunglasses sold at one of their locations. The researcher randomly selected the following sample from this location. Monthly Temperature (°F) Number of Sunglasses Sold 80 91 61 34 56 66 99 72 71 74 95 125 43 65 (TEMP SUMS: 2x = 505; 2x2 = 38,973) (NBR SUMS: 2x = 527; 2...
7
A researcher working for the Ray-Ban Corporation decides to perform a hypothesis test to investigate whether there is a significant positive correlation between monthly temperature and number of sunglasses sold at one of their locations. The researcher randomly selected the following sample from this location. Monthly Temperature (°F) Number of Sunglasses Sold 80 91 61 34 56 66 99 72 71 74 95 125 43 65 (TEMP SUMS: 2x = 505; E x2 = 38,973) (NBR SUMS: 2 x...
Test the hypothesis, using (a) the classical approach and then (b) the P-value approach. Be sure to verify the requirements of he test. Ho p 0.6 vsus H p>0.6 n 100; x- 75, a-0.05 a) Choose the correct result of the hypothesis test for the classic approach below. OA. Do not reject the null hypothesis, because the test statistic is greater than the critical value B. O C. Reject the null hypothesis, because the test statistic is greater than the...
The P-value for a hypothesis test is shown. Use the P-value to decide whether to reject H when the level of significance is (a) a= 0.01, (b) a 0.05, and (c) a0.10. P 0.0749 (a) Do you reject or fail to reject Ho at the 0.01 level of significance? O A. Reject H because the P-value, 0.0749, is greater than a=0.01 O B. Fail to reject Ho because the P-value, 0.0749, is less than a = 0.01 O C. Reject...