In the p-value approach to hypothesis testing, we reject the null hypothesis if. p-value > 0.05 p-value < 0.05 p-value > 0.05 p-value 0.05 p-value < 0.05
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- When conducting a hypothesis test, you obtain a large p-value. This implies ... a- that the observed value is consistent with the null hypothesis b- a rejection of the null hypothesis c- the observed value is larger than cut-off value specified by the test d- that the t-satistic is large What is the answer?Question 4 Question 4. Microsort is a genetics company that advertises a product that supposedly increases the chance of a female birth for couples planning to have children. In their experimentation process, they set up the null hypothesis and alternative hypotheses as follows: Ho: the product does not work H: the product works The alpha error is "saying that the product works when in fact it does not" Which statement below is correct regarding this experiment? a) a. They should set the alpha level to 1 (or 100%). O b) b. They should set the alpha level to 0. O c) c. From the point of view of Microsoft, they will likely desire to set the alpha lower laconnorad to hiahorl on a orohahilitu.ceale3)Suppose we are testing a null hypothesis against a two-sided alternative, then the alternative can be written as: A. E(Y) > μY,0 B. E(Y) = μY,0 C. ≠ μY,0 D. E(Y) ≠ μY,0
- How is the null hypothesis for a correlation different than a null hypothesis for a t-test?Type I and Type II Errors. Please discuss Type I and Type II errors. What are they? Discuss their relationship with hypothesis testing.would u kindly give an example of an economic question then identify variables as well as null and alternative hypothesis (hypotheses like μ > 25)
- An IT company is planning to introduce a new product. In order to predict its sales, they release the test version of the product to a group of early-access users. Each user is asked to give a score for the product from 0 to 100. If a user's score is greater than 50, then the user is classified as a potential buyer. c) What do Type 1 and Type 2 error represent in this hypothesis test? d) Suppose that the majority of the top 1% of the scorers were women. Given this, the marketing department claims that their advertisements should primarily target women. Evaluate this claim Please give some detailed solutions,i will be very very appreciate!!!3) A type II error: A. is the error you make when choosing type II or type I. B. is typically smaller than the type I error. C. is the error you make when not rejecting the null hypothesis when it is false. D. cannot be calculated when the alternative hypothesis contains an "=".Suppose the null hypothesis, Ho, is: Darrell has worked 20 hours of overtime this month. What is the Type I error in this scenario? Select the correct answer below: Darrell thinks he has not worked 20 hours of overtime this month when, in fact, he has. Darrell thinks he has not worked 20 hours of overtime this month when, in fact, he has not. O Darrell thinks he has worked 20 hours of overtime this month when, in fact, he has not. Darrell thinks he has worked 20 hours of overtime this month when, in fact, he has. Content attribution FEEDBACK
- If a police officer wants to find whether the average speed of motorists a highway with speed limit of 55 , the null hypothesis is 55 . true false justify itSuppose you have time series data and estimate the following model y = β0 + β1x1 + ε. When you estimate the model, you find that there are correlated observations (serial correlation). You choose to ignore this issue. What are the consequences? A/ The predictions are biased, but the hypothesis tests are valid. B/ The predictions are not biased, but the hypothesis tests are invalid. C/ Both the predictions and the hypothesis tests are valid. D/ Both the predictions and the hypothesis tests are not valid. Choose the correct answer and briefly explain.What are the warnings of using the OLS approach to hypothesis testing? Discuss.