Question

1. a What is a hypothesis test? What is it used for? How are the null and alternative hypothesis determined? . What are the 3 ways to set up hypotheses? C. Why can't we "accept” a null hypothesis? d. How do we determine if we reject or fail to reject a nuil hypothesis? e. What are the key pieces needed when writing a conclusion? f. Describe the difference between statistically significant and practically significant.

Answer 1

Solution: test whene we a Same not true. (a)+ 9 hypothesis test is a want to check whether a claim based population is different in from the population. sample taken • It is used to test whether the claim is true Hypothesis is determined with the help of population data, ie. any cornently accepted value for given parameter. thesis (also known as Research hypothesis) is determined by opposite to Noll Hypothesis Sample lata. Null HD a - Alternate Hypothesis taking claim to test in given

conclude that the The (6) ven below: i Write the null and alternative there ways to set up hypothesis are given hypothesis your test statistic based on thaat and get your pualue. your by companing given (ii) find () State conclusion with level of signifi p-value cance. (C) Noll not have high count, if someone enough evidence to is Cole we will Oorl Let 2 hypothesis is not accepted because sometimes might evidence to counter it, & for eone example in really a criminal and we doesn't have evidence to prove then it doesn't mean that he hadn't done something wrong. from the test-statistic get level of significance. connesponding paulue. If. povalue <a then we neject the null bypothesis. if p-value ya we fail to reject it. needed while writing p-value, level of significance (x) and the bull hypothesis 1). hypothesis testing, statistically significant enough enough difference between the population parameter and the sample event has occured 4 The pieces key conclusion are :- ملم (1) means there is to statistic by chance → But prachtically means significant the difference between population. parameter and observed sample statistic is lange enough meaningful in real life. to be Thanks you :) Х