A car manufacturer claims that 52% of Americans are interested in having internet access in their cars. In a simple random sample of 300 Americans, 161 stated they were interested in having web access in their cars. Test the hypothesis that more than 52% of Americans are interested in having internet access in their cars. Assume independence. Use .05 as the level of significance.
Complete the steps below:
a) Write the null and alternative hypotheses using proper notation.
b) Explain how each of the conditions of CLT are met.
c) Give the z-test statistic AND the p-value.
d) Using your p-value, what is your decision about the null hypothesis.
e) What is your conclusion regarding whether or not more than 52% of Americans are interested in having web access in their cars? Be sure to use the phrase statistically significant.
In: Statistics and Probability
Explain why people are complaining about the prior use by President Obama of Executive Orders to prevent the deportation of undocumented immigrants. (Research the Dream Act in Google.) Explain the Balance of Powers rule of law in USA and “checks and balances”. Identify one time when President Trump has used Executive Orders to accomplish his goals.
In: Economics
Answer coherently about these topics and use keywords, information, dates, and concepts.
identify and explain the differences between the three main economic forms: Mercantilism, Capitalism, and Socialism. What eras are they related to in regards to colonialism, industrialization, and the modern world? Name some individuals associated with these different "isms". How have they evolved and changed with time. How do these economic models treat the main economic factors like free trade, and ownership of capital? How are these economic models used in the modern sense. Finally, what are some pros and cons of each model? Be specific and use examples.
In: Economics
Explain the statement below:
"The medical community is generally well informed about the use of proper statistical techniques used to analyze differences between means".
In: Statistics and Probability
In about 12-15 sentences, please explain why it is not always possible for epidemiologists to use an experimental design such as the RCT to test an etiologic hypothesis on humans.
Be sure to fully support your answer with relevant information from the lecture notes, and utilize additional, credible outside sources where needed.
In: Nursing
In about 12-15 sentences, please explain why it is not always possible for epidemiologists to use an experimental design such as the RCT to test an etiologic hypothesis on humans. Tip: be sure to consider a wide range of issues and use Lecture notes 7 (in Module 7) to get the bigger picture!
In: Nursing
In: Physics
what are the red flags of white collar crime
In: Accounting
Suppose that you decide to randomly sample people ages 18-24 in your county to determine whether or not they are registered to vote. In your sample of 50 people, 35 said they were registered to vote. a) (2 points) Find a 95% confidence interval for the true proportion of the county population ages 18-24 who are registered to vote. Make sure to check any necessary conditions and to state a conclusion in the context of the problem. Also, explain what 95% confidence means in this context. b) (1 point) What is the probability that the true proportion of people ages 18-24 who registered to vote in your county is in your particular confidence interval? (Note: Be careful). c) (1 point) According to a separate news report, about 73% of 18- to 24-year-olds in the same county said that they were registered to vote. Does the 73% figure seem reasonable with your own poll? Explain. d) (1 point) Assume you have not done your poll yet, but you knew the news report poll results. In designing your poll now, you want separately estimate the same percentage to within ±4 percentage points with 95% confidence, how many people should you poll?
In: Math
ou may need to use the appropriate technology to answer this question.
A factorial experiment involving two levels of factor A and three levels of factor B resulted in the following data.
| Factor B | ||||
|---|---|---|---|---|
| Level 1 | Level 2 | Level 3 | ||
| Factor A | Level 1 | 135 | 94 | 71 |
| 165 | 70 | 89 | ||
| Level 2 | 125 | 123 | 124 | |
| 95 | 101 | 140 | ||
Test for any significant main effects and any interaction. Use α = 0.05.
Find the value of the test statistic for factor A. (Round your answer to two decimal places.)
Find the p-value for factor A. (Round your answer to three decimal places.)
p-value =
State your conclusion about factor A.
Because the p-value ≤ α = 0.05, factor A is significant.Because the p-value ≤ α = 0.05, factor A is not significant. Because the p-value > α = 0.05, factor A is significant.Because the p-value > α = 0.05, factor A is not significant.
Find the value of the test statistic for factor B. (Round your answer to two decimal places.)
Find the p-value for factor B. (Round your answer to three decimal places.)
p-value =
State your conclusion about factor B.
Because the p-value > α = 0.05, factor B is significant.Because the p-value > α = 0.05, factor B is not significant. Because the p-value ≤ α = 0.05, factor B is not significant.Because the p-value ≤ α = 0.05, factor B is significant.
Find the value of the test statistic for the interaction between factors A and B. (Round your answer to two decimal places.)
Find the p-value for the interaction between factors A and B. (Round your answer to three decimal places.)
p-value =
State your conclusion about the interaction between factors A and B.
Because the p-value ≤ α = 0.05, the interaction between factors A and B is not significant.
Because the p-value > α = 0.05, the interaction between factors A and B is not significant.
Because the p-value > α = 0.05, the interaction between factors A and B is significant.
Because the p-value ≤ α = 0.05, the interaction between factors A and B is significant.
In: Statistics and Probability