A horticulturist is studying the relationship between tomato plant height and fertilizer amount. Thirty tomato plants grown in similar conditions were subjected to various amounts of fertilizer (in ounces) over a four-month period, and then their heights (in inches) were measured. [You may find it useful to reference the t table.]
Calculate the value of the test statistic. (Round intermediate calculations to at least 4 decimal places and final answer to 3 decimal places.)
Fertilizer (ounces) | Height (inches) |
1.7 | 20.5 |
6.0 | 49.8 |
4.3 | 56.1 |
1.2 | 24.5 |
4.2 | 29.2 |
5.3 | 60.5 |
3.2 | 24.2 |
0.0 | 25.4 |
2.1 | 26.2 |
2.6 | 25.4 |
0.8 | 26 |
3.0 | 28.8 |
4.6 | 62.8 |
3.3 | 30.3 |
5.5 | 43.1 |
2.1 | 33.3 |
3.0 | 35 |
1.6 | 22.2 |
3.8 | 40.7 |
6.0 | 44.8 |
3.8 | 29.8 |
0.5 | 21 |
1.7 | 25.2 |
2.4 | 29.8 |
4.4 | 27.6 |
3.1 | 32.7 |
4.0 | 33.3 |
0.0 | 22.6 |
2.3 | 27.2 |
3.5 | 46.6 |
We want to test if there is any relation between fertilizer and height of plant .
Hypothesis :
where rho is the population correlation coefficient .
Test statistic :
where r = sample correlation coefficient and n = sample size . and n =30 here .
We calculate using calculator : r = 0.739
So,
Bonus : we found at alpha = 0.05 , df= 30-1=29
Critical region :
So, we reject the null hypothesis .
That is , there is strong relationship between the two variable
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