1. Define the Null Hypothesis and give an example 2. Define the Alternative Hypothesis and give an example. 3. Explain what the following question means: "Does the evidence that we collected make our null hypothesis look ridiculous?" 4. Explain what the following statement means: "Statistics is the science of changing your mind under uncertainty." Also, can statistics ever remove uncertainty?

describe the steps in the process of statistical hypothesis testing.  When stating the conclusion, why do we   never accept the null hypothesis

3. A claim is made that the proportion of college students who have Netflix accounts is 0.85. Noah believes this claimed value is too high. He is able to survey a random sample of 240 college students, and he finds that the sample proportion who have Netflix accounts is 0.82. Noah proceeds to use this data to conduct a hypothesis test. Based on this information, which one of the following statements is correct? A. The p-value will be smaller than 0.01 but larger than 0. B. The p-value will be between 0.01 and 0.05. C. The p-value will be between 0.05 and 0.10. D. The p-value will be larger than 0.10.

Many questions in research can be expressed as two competing statements about the population parameter. These two statements are called the null and the alternative hypotheses. Usually, the researcher hopes the sample evidence will be in favor of the alternative hypothesis, the new theory. It is important to be able to state the theories that are being put to a test.  Write out the hypotheses to be put to the test and define the parameter of interest in context of the problem.      Do a minority of Michigan residents clear snow from sidewalks before 9 am after snow has fallen?For this scenario, write out the hypotheses to be put to the test and define the parameter of interest in context of the problem. H0:Ha: The parameter p represents ___(provide appropriate definition in context)________