[Step-by-Step] To test a manufacturer’s claim that 4 out of 5 dentists recommend brand K of toothpaste, a consumer-protection group randomly samples 400 dentists
Question: To test a manufacturer’s claim that 4 out of 5 dentists recommend brand K of toothpaste, a consumer-protection group randomly samples 400 dentists and asks them what they recommend. Of the sample, eighty-nine dentists did not recommend brand K while three-hundred-eleven did. Please answer the following questions.
- What is the sample proportion of dentists that recommend brand K?
- Based on the answer to (a) why would there even be a need to use statistical analysis to test the manufacturer’s claim in the first place? Why is it necessary?
- Find a 90% confidence interval to estimate the true population proportion of dentists that recommend brand K.
- What do you conclude about the manufacturer’s claim based on the confidence interval you found in (c)?
- Let a null hypothesis be that the true population proportion of dentists that prefer brand K is 80% and an alternative hypothesis be that said proportion is less than 80%. Testing at the 5% significance level what should the consumer-protection group conclude?
- Considering part (e) above, what is the probability that the statistician makes an error of Type 1?
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