Ryan, a baker, measured the weights of cakes baked in each batch at his bakery and found that the mean weight of each cake is 500 grams. He performed a hypothesis test to find the mean weight of each cake by setting H₀ = 500 and Hₐ < 500.Select the statement that indicates a Type I error. Rejecting the mean weight of each cake as 500 grams when H₀ < 500.Failing to reject the mean weight of each cake as 500 grams when H₀ = 500.Rejecting the mean weight of each cake as 500 grams when H₀ = 500.Failing to reject the mean weight of each cake as 500 grams when H₀ < 500.
Question
Ryan, a baker, measured the weights of cakes baked in each batch at his bakery and found that the mean weight of each cake is 500 grams. He performed a hypothesis test to find the mean weight of each cake by setting H₀ = 500 and Hₐ < 500.Select the statement that indicates a Type I error. Rejecting the mean weight of each cake as 500 grams when H₀ < 500.Failing to reject the mean weight of each cake as 500 grams when H₀ = 500.Rejecting the mean weight of each cake as 500 grams when H₀ = 500.Failing to reject the mean weight of each cake as 500 grams when H₀ < 500.
Solution
A Type I error, also known as a false positive, occurs when we reject a true null hypothesis. In this context, the null hypothesis (H₀) is that the mean weight of each cake is 500 grams.
So, the statement that indicates a Type I error would be: "Rejecting the mean weight of each cake as 500 grams when H₀ = 500." This is because we are incorrectly rejecting the null hypothesis that the mean weight is 500 grams, when in fact it is true.
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