We have to test the claim that regions with higher percentage of the population with atleast a bachelor's degree have higher per capita personal income at 0.05 level of significance.
1) -
Hypothesis -
Null hypothesis - H0 : There is no relationship
between bachelor's degree & per capitta personal income. i.e.
= 0.
Alternative hypothesis - H0: There is relationship
between bachelor's degree & per capitta personal income. i.e.
0.
2) -
Test statistic -

Observation table -
| Sr. No. | x | y | (x-x_bar) | (y-y_bar) | (x-x_bar)(y-y_bar) | (x-x_bar)^2 | (y-y_bar)^2 |
| 1 | 28.4 | 33746 | 3.82 | 4299.2 | 16422.944 | 14.5924 | 18483120.64 |
| 2 | 24.2 | 30057 | -0.38 | 610.2 | -231.876 | 0.1444 | 372344.04 |
| 3 | 25 | 25158 | 0.42 | -4288.8 | -1801.296 | 0.1764 | 18393805.44 |
| 4 | 26.6 | 29372 | 2.02 | -74.8 | -151.096 | 4.0804 | 5595.04 |
| 5 | 18.7 | 28901 | -5.88 | -545.8 | 3209.304 | 34.5744 | 297897.64 |
| Total | 122.9 | 147234 | 17447.98 | 53.568 | 37552762.8 |
Calculations -




Test statistic -

3) -
Rejection region -
> 0.879

o The following data represent the percentage of the population that have at least a bachelor's...
The following data represent the percentage of the population that have at least a bachelor's degree and the per capita personal income for randomly chosen regions. Test the claim that regions with a higher percentage of the population with at least a bachelor's degree have a higher per capita personal income at the -0.05 level of significance Bachelor's degree (x) 24.9 29.6 26.7 24.4 17.6 Per capita personal Income 33.741 29,369 24,671 28,955 29,984 ly) Click the icon to view...
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