please answer d, e, f only d) What type of data will you collect for this study? (Hint: think about what sampling technique and statistic are used)Suppose based on the data collected you compute your p-value.e) What are the two possible results for a test on the stated hypotheses and when would you make each of those decisions (Hint: think interms of p-values) ?f) In how many ways could you make wrong decisions while conducting a test of hypotheses in this study? What are these wrong decisionsreferred to as? (Hint: think types of errors that can be made in a hypothesis test) A simple random sample of 36 St Bernard dog weights yields a sample mean of 193 pounds. It is known that the standard deviation of thepopulation of all St Bernard dog weights is 18 pounds. Suppose you suspect that an average St Bernard dog weighs less than 200 poundsand decide to test this hypothesis.For this study set-up, answer the following questions.a) Write out the research question.b) Write the null and alternative hypothesesHo:На:c) Decide what significance level you will work with.d) What type of data will you collect for this study? (Hint: think about what sampling technique and statistic are used)

The random variable St Bernard dog weight follows normal distribution. The sample size is 36. The sample mean is 193. The population standard deviation is 18. We have to test whether the average St Bernard dog weighs less than 200 pounds or not.The data is quantitative that is weight of dog. The samples are randomly selected from the population. Samples are independent of each other. Population data is continuous. We have used z-statistic for this problem.The value of the test statistic is z =-2.33. P-value = 0.0098.If the average St Bernard dog weighs 200 pounds is true, then there is a chance equal to the p-value that the average St Bernard dog weighs 7 pounds or less. Since p-value (=0.0098) ≤α(=0.05), then reject the null hypothesis. There is sufficient evidence to conclude that the average St Bernard dog weighs less than 200 pounds.Type I error means rejecting a true null hypothesis. The actual result of this study is rejecting the null hypothesis. The result is significant. If we want to make wrong decision while conducting a test of hypotheses in this study, we can make it as type I error.