A chemist believes that corn fields must be treated with a fertilizer on average 6 times over the course of the growing season in order to maintain optimal plant growth. However, she is curious about whether the corn could do equally as well with fewer treatments. The null hypothesis would be Ho: μ = 6. The alternative hypothesis would be Ha: < 6. What would a Type I error be in this situation? We would say that 6 treatments work when we really need fewer. We would say that fewer treatments work when we really need 6. We would say 6 treatments work when we really need more. We would say that more treatments are needed when we need fewer.

MATLAB: An Introduction with Applications
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A chemist believes that corn fields must be treated with a fertilizer on average 6 times over the course of the growing season in order to maintain optimal plant growth. However, she is curious about
whether the corn could do equally as well with fewer treatments.
The null hypothesis would be Ho: μ = 6.
The alternative hypothesis would be Ha: < 6.
What would a Type I error be in this situation?
We would say that 6 treatments work when we really need fewer.
We would say that fewer treatments work when we really need 6.
We would say 6 treatments work when we really need more.
We would say that more treatments are needed when we need fewer.
Transcribed Image Text:A chemist believes that corn fields must be treated with a fertilizer on average 6 times over the course of the growing season in order to maintain optimal plant growth. However, she is curious about whether the corn could do equally as well with fewer treatments. The null hypothesis would be Ho: μ = 6. The alternative hypothesis would be Ha: < 6. What would a Type I error be in this situation? We would say that 6 treatments work when we really need fewer. We would say that fewer treatments work when we really need 6. We would say 6 treatments work when we really need more. We would say that more treatments are needed when we need fewer.
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