Find: Null hypothesis & Alternative hypothesis test statistic P-value conclusion

I need help with stats/2023, section 7.1,  Determine whether the claim stated below represents the null hypothesis or the alternative hypothesis. If a hypothesis test is​ performed, how should you interpret a decision that​ (a) rejects the null hypothesis or​ (b) fails to reject the null​ hypothesis?   A report claims that more than 74​% of households in a specific county struggle to afford basic necessities.   Does the claim represent the null hypothesis or the alternative​ hypothesis?   Since the claim (1) ______________ (contains or does not contain) a statement of equality, it represents the (2) ________________ (null or alternative) hypothesis.   (a) How should you interpret a decision that rejects the null hypothesis? There (3) ___________ (is or is not) enough evidence to (4)_____________ (reject or support) the claim that more than 74% of households in a county struggle to afford basic necessities.   There (5) ____________ (is or is not) enough evidence to (6)…

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What type of hypothesis test should be performed? Ex: Left-tailed t-test, two-tailed t-test, two-tailed z-test, or right-tailed z-test P1 = Ex: 0.123 P2 = Ex: 0.123 P = Ex: 0.123 What is the test statistic? Ex: 0.12 P-value? Ex: 0.123 Does sufficient evidence exist to support the claim that the level of support differs between the two cities at the α=0.01 significance level? Ex: yes or no

What are the equations for a two-tailed hypothesis test? How is hypothesis testing used in engineering? Describe connections to other engineerin learning.

What do confidence intervals & hypothesis tests try to do?

4) Does your confidence interval support your hypothesis test? Explain.

Choosing the alpha level for a hypothesis test allows researchers to control the probability of committing a type II error. True or False I see various answers on this question Please explain.

what type of hypothesis test should be performed? right tailed t test or left tailed t test

COLLAPSE   What are p-values? Why are they important? What does a p-value tell us? Why are p-values often misunderstood and misused? When do we reject or fail to reject the Null Hypothesis based on p-values?