Type I Error for Statistics Help?
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A weight loss center provided a loss for 72% of its participants using the old weight loss strategy.
The center’s leader decides to test a new weight loss strategy. Identify the Type I error in this
context.
5)
A) The center stops the new strategy, but in fact weight loss is increasing and the strategy helps.
B) The center sampled all participants at the weight loss center.
C) The product of the center’s sample size and sample proportion was less than 10.
D) The center concludes that the proportion of participants losing weight is increasing, but in fact
the new strategy does not help weight loss.
E) The center concludes that proportion of weight loss is increasing since the weight loss level
can only increase.
I call a Type I error “Stubbornness” and a Type II error “Gullibility.” Generally, making a Type II error is more costly and people get fired. Making a Type I error is just sticking with the status quo.
A is the Type I error
D (and E) are Type II errors.