Why would you use a low alpha?To minimize the probability to make a Type I errorO To minimize the probability to make a Type Il errorBecause this is what researchers typically useNone of the above According the World Health Organization, the Body Mass Index (BMI=Weight inKilograms/Height in Meters?) of a healthy 5-year old girl is 15. After Palmyra,Syria, got liberated from the Islamic State, the World Food Program asks you toconduct an early assessment situation of the nutritional situation in Palmyra. Youmeasure the height and weight of a random sample of 225 five-year old girls andobtain a sample BMI average of I = 14. 5785 and a sample standard deviationof s=2.25. Test at a = 0.01 the hypothesis that the children of Palmyra areundernourished as measured by the BMI.

here use basic of hypothesis testing and type 1 and type 2 error

Answered: Why would you use a low alpha?

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Recent studies have shown that adult men suffer from high blood pressure at a lesser rate than do adult women. To test that claim, a research randomly selected 200 of each gender and tested their blood pressure. The results revealed that 49 of the men and 62 of the women suffered from high blood pressure. Can you conclude that the proportion of men with high blood pressure is less than the proportion of women? Use α = 0.05.
man loves, as everyone should, to collect and analyze statistical information. He wishes to find a relationship between how many hours students study and how they do on their statistics tests. He takes a random sample of 16 students at Ideal U., asks how many hours they studied for a university-wide stat test and how they did on the test, enters the data into a computer for analysis and presents the results below. ANALYSIS OF HOURS AND GRADES (n = 16): Descriptive Statistics: HOURS GRADES Mean: 4.2 75.8 Mode: 5.0 79.0 St. Dev: 2.3 10.1 Quartiles: Q0 2.0 34.0 Q1 3.2 53.7 Q2 4.7 78.5 Q3 6.3 86.9 Q4 9.0 97.0 Regression Analysis: Reg. Eq. is: GRADE = 16.9 + 9.025*HOURS Rsquared = .985 std error = 0.027 F = 8.52 p = .018 We know that 25% of all the grades falls into which of these regions? a. 78.5 to 79.0 b. 78.5 to 86.9 c. 75.8 to 86.9 d. 75.8 to 97.0 e. 78.5 to 97.0 f. 75.8 to 79.0
You develop a new vaccine for HPV and want to know if the effectiveness is different in men and women (biology note: there are many, many viruses which can cause HPV symptoms). You give the vaccine to 45 men and 63 women. After several years you find that 12 men came down with HPV and 27 women came down with HPV. Is there a difference in effectiveness between men and women? Again, give both the test statistic and the table value. Use α = 0.05 and make sure you give H0, H1, etc.. State your conclusion
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please answer number 3
You are a researcher who wants to know what the mean (µ) level of anxiety would be for the whole population if they were all receiving a new anti-anxiety therapy. You can’t give the therapy to the whole population, so you give it to a sample, and you get M = 32.1 as the average anxiety level for the sample on the therapy. What is the reason that you can’t just simply assume that µ = 32.1? You didn’t use random assignment Sampling error Descriptive statistics Inferential statistics
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You are concerned that nausea may be a side effect of Tamiflu, but you cannot just give Tamiflu to patients with the flu and say that nausea is a side effect if people become nauseous. However, past research indicates that about 30% of people who get the flu experience nausea, and you believe that the percentage of those who experience nausea while having the flu and taking Tamiflu will be greater than 30%, which would indigate that nausea is a side effect of Tamiflu. If you are going to test this claim at the 0.05 significance level, what would be your null and alternative hypotheses? Họ: H1: What type of hypothesis test should you conduct (left-, right-, or two-tailed)?
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man loves, as everyone should, to collect and analyze statistical information. He wishes to find a relationship between how many hours students study and how they do on their statistics tests. He takes a random sample of 16 students at Ideal U., asks how many hours they studied for a university-wide stat test and how they did on the test, enters the data into a computer for analysis and presents the results below. ANALYSIS OF HOURS AND GRADES (n = 16): Descriptive Statistics: HOURS GRADES Mean: 4.2 75.8 Mode: 5.0 79.0 St. Dev: 2.3 10.1 Quartiles: Q0 2.0 34.0 Q1 3.2 53.7 Q2 4.7 78.5 Q3 6.3 86.9 Q4 9.0 97.0 Regression Analysis: Reg. Eq. is: GRADE = 16.9 + 9.025*HOURS Rsquared = .985 std error = 0.027 F = 8.52 p = .018 What problem might there be in using the regression model to predict what grade a student might get if they studied 10 hours? a. The predicted grade for 10 hours is more than 100, which is impossible. b. The value of 10…
Please answer number 17.

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