Identify the type I error and the type II error that correspond to the given hypothesis. The percentage of households with more than 1 pet is greater than 65%. Identify the type I error.  Identify the type II error.

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

Suppose the Humane Society claims that 30% of U.S. households own cats. You believe your community is different than the U.S. percentage. To test the claim, you take a simple random sample of 500 households and find that 24% own cats. Test at 1% significance.Round to the fourth as neededRequirements (part 1):

Use the confidence interval to find the margin of error and the sample mean. (12, 20) O E = 4, X = 20 O E = 4, X = 16 OE 8, X = 12 O E= 8, x = 16

Which has the greatest standard error?     mean=20, s.d.=10, n=9     mean=30, s.d.=15, n=16     mean=40, s.d.=20, n=25     mean=50, s.d.=25, n=36

answer is not A please help asap

Suppose you want to test the claim that a population mean equals 38.  State the null hypothesis.

Find the estimated standard error for the sample mean for n = 8 and SS= 5042.

If you are asked to conduct a test, you need to write all the 5 steps.Step I. write correct hypothesisStep II. Calculate the value of test statisticStep III. Find out the rejection region or calculate the p-valueStep IV. Write the decisionStep V. Write a conclusion in the context of the problem  The government of a country reports its literacy rate aa 52%. A non-governmental organization believes it to be less. The organization takes a random sample of 600 inhabitants and obtains a literacy rate of 42%. Perform the relevant test at the 1% level of significance.a. using the critical value approachb. using the p- value approach

We are collecting data on the patients that have been vaccinated for the coronavirus, and the initial data shows a 90% success. We want the margin of error to be no more than 3%. We want to be extremely  careful, so we are going to use a 99% confidence. Determine the smallest size of the sample to achieve this level of confidence.  a 560  b 680  c 664  d 600  e 686