Please use the birthweight data set from https://www.sheffield.ac.uk/mash/statistics/datasets or please cite and introdcue the data set you want to use.

Please answer the following: (see attachment)

Please complete the hypothesis test using this as a quide. Step 1: Write the hypothesis test using correct notation....What is H. and H. ? Step 2: Is this a right tail, left tail, or two tailed test? (Optional: Draw and label the associated bell curve.) Step 3: Choose a value for alpha. Step 4: Calculate the p-value. (If you are using the Critical Value - Rejection Region Approach. indicate this and provide critical value and test statistic) f you are testing a population mean. use this info. This involves gathering the data and calculating the sample mean or sample proportion, depending on what we are testing. From this sample, we determine the mean, standard deviation, and sample size. Use this formula in Excel: =NORM.DIST(sample mean, null value, standard deviation/sqrt(size), TRUE) The null value comes from the equal to in the null hypothesis. For a left-tailed test, use the result from that formula. For a right-tailed test, subtract the result from that formula from 1. For a two-tailed test, find =NORM.DIST(sample mean, null value. standard deviation/sqrt(size), TRUE). Let's call this value N. o If the sample mean is less than the null value, then p = N * 2.| If the sample mean is greater than the null value. then p = (1 - N) * 2. f the sample size used is less than 30 and we don't know the population standard, then we cannot use the =NORM.DIST formula. Instead, we need to use the T-distribution formula because the sample size is so small. This formula is =T.DIST((sample mean-null value)/(standard deviation/SORT(size)),size - 1.TRUE). If you are testing a population proportion, use this info: p-value =NORM.DIST((o' - p V/( po). 0, 1. TRUE) Step 5: Make a decision. There are two possible outcomes. If p > alpha, then we fail to reject Ho. (We are not proving that Ha is correct; we are just looking at whether or not we have enough evidence to reject Ho. ) If p