I just need help with the last 2 questions. I typed out the answers I already had to you can read them. Thank you. edirf6Ad4VJ3yY8SJO1/editeconds agoBIUA三1E E E E1345.IN. Considering the given hypothesis, the value of the B is either equal to zero or less than 0.O. In this case, there will be a type I error if the researcher rejects the null hypothesis when thereality is that, the null hypothesis is true, that is, the researcher will conclude that the value of ßis less than 0P. In this case, there will be a type Il error if the researcher fails to reject the null hypothesiswhen the reality is, that the null hypothesis is false, that is, the researcher will conclude that thevalue of ß is equal to 0P.Q. You will soon perform a hypothesis test withHo: B = 0H1: B<0, at a = .05.n) Explain, in “real world" terms what fact this hypothesis test is trying to prove.ConcidrintteteA S Pirtokalaof201o) Explain what happens if the test results in a Type I error. Do not just paraphrase the definition of Type Ierror; tell specifically what conclusions are drawn and what actually is true in this example if a Type Ierror is made.Tee rill beTerealisaisthnd,the itret istu l Ofto(uncy deisthanp) Explain what happens if the test results in a Type II error. Do not just paraphrase the definition of TypeII error; tell specifically what conclusions are drawn and what actually is true in this example if a TypeII error is made.is tahan eie fun or nthatterebe a'f tefaisintenullhyroponsotoreieldp) Perform the test and write your findings in plain English.g) A 95% confidence interval for B is (-1.999 , -1.186 ) and EXPLAIN what this tells you.

Name: I just need help with the last 2 questions. I typed out the answers I
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Description: I just need help with the last 2 questions. I typed out the answers I already had to you can read them. Thank you. edirf6Ad4VJ3yY8SJO1/editeconds agoBIUA三1E E E E1345.IN. Considering the given hypothesis, the value of the B is either equal to zero or

p) To perform a hypothesis test for slope β: Null Hypothesis : H0:β=0 Alternative Hypothesis: Ha:β<0 Test statistic can be calculated using the formula: t=b1-βMSE∑ixi-x¯2=b1-βseb1 where, b1 is the slope from the regression equation y=a+b1x β=0 (according to the given hypothesis) se(b1) is the standard error of slope. Then, we use the resulting test statistic to calculate the P-value. P-value is the probability of obtaining the value of the test statistic or a value more extreme, assuming the null hypothesis is true. P-value is determined by referring to a t-distribution with n-2 degrees of freedom. This can be obtained using t-distribution table or Excel function for a left tailed test. Decision Rule: If p-value is less than the significance level (0.05) , we reject the null hypothesis in favor of the alternative hypothesis. If p-value is greater than the significance level (0.05) , we fail to reject the null hypothesis. When we don't reject the null hypothesis, any of the three realities are possible: we committed a Type 2 error, there really is not much of a linear relationship between x and y (or) there is a relationship between x and y which is not linear. (Since, the parameters are not mentioned, we have given the procedure for the hypothesis testing, please provide required details to get the answer) q) 95% Confidence Interval for slope parameter β is given by the formula: C.I=b1-1.96×SEb1, b1+1.96×SEb1 Given: 95% Confidence Interval for β is (-1.999, -1.186) This interval is the set of values for which a hypothesis test to the level of 5% cannot be rejected. In other words, we can say that, we are 95% confident the true slope parameter β lies in the interval (-1.999, -1.186). That is, the interval has a probability of 95% to contain the true value of β.