April has only consumed one glass of wine, so her body isn't affected by the alcohol because short-term effects only begin with the second drink. Please select the best answer from the choices provided.a. True
b. False

Answers

Answer 1
Answer:

Answer:

The given statement is false.

Explanation:

The effects of alcohol after consumption is not only dependent upon the amount of alcohol taken. It also relies upon various other factors like age, that is, as the person ages the same amount drink boosts the effect of alcohol faster than it was at a younger age. The consumption of food prior and at the time of drinking also signifies the effect of alcohol in an individual.  

The influence of alcohol is witnessed quicker in women in comparison to men, that is, even a single alcoholic drink can show its effect on women. Even the person who weighs less shows more effect of alcohol even after consuming less amount. Thus, the given statement is false.  

Answer 2
Answer: false.....................

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A medical billing specialist believes that most patients with high-deductible health plans have overdue medical bills. The medical billing specialist would like to test the claim that the proportion of patients with high-deductible health plans who have overdue medical bills is greater than 51%. They sample 35 patients with high-deductible health plans and determine the sample percent to be 60%. a) State the null hypothesis (H₀). b) State the alternative hypothesis (H₁). c) Choose a significance level (alpha, α). d) Calculate the test statistic. e) Determine the critical value. f) Decide whether to reject or fail to reject the null hypothesis. g) State your conclusion.

Answers

The medical billing specialist wants to test whether the proportion of patients with high-deductible health plans who have overdue medical bills is greater than 51%.

a. Null Hypothesis (H₀): H₀: p ≤ 0.51

b. Alternative Hypothesis (H₁):  H₁: p > 0.51

c. Significance Level (alpha, α):  α = 0.05.

d. Calculate the Test Statistic:  \(z = \frac{0.60 - 0.51}{\sqrt{(0.51(1-0.51))/(35)}}\)

e. Determine the Critical Value: approximately 1.645

f. If (z > 1.645), you will reject the null hypothesis; otherwise, you will fail to reject it.

g. Conclusion: If the test statistic is greater than 1.645, you can conclude that there is sufficient evidence to support the claim that more than 51% of patients with high-deductible health plans have overdue medical bills. If the test statistic is less than 1.645, you would not have enough evidence to support this claim.

The medical billing specialist wants to test whether the proportion of patients with high-deductible health plans who have overdue medical bills is greater than 51%. Let's go through the steps of hypothesis testing:

Null Hypothesis (H₀): The null hypothesis states that there is no significant difference, and the proportion of patients with high-deductible health plans who have overdue medical bills is equal to or less than 51%.

H₀: p ≤ 0.51

Alternative Hypothesis (H₁): The alternative hypothesis is the claim the specialist wants to test, which is that the proportion of patients with overdue medical bills is greater than 51%.

H₁: p > 0.51

Significance Level (alpha, α): The significance level represents the level of risk you are willing to take for making a Type I error (rejecting the null hypothesis when it's true). Common values are 0.05 or 0.01. Let's choose α = 0.05.

Calculate the Test Statistic: You can use the sample proportion and standard error to calculate the test statistic, which follows a z-distribution:

\(z = \frac{\hat{p} - p}{\sqrt{(p(1-p))/(n)}}\)

Where:

- \(\hat{p}\) is the sample proportion (0.60).

- (p) is the proportion under the null hypothesis (0.51).

- (n) is the sample size (35).

Calculating (z):

\(z = \frac{0.60 - 0.51}{\sqrt{(0.51(1-0.51))/(35)}}\)

Determine the Critical Value: At α = 0.05, using a one-tailed test (since we're testing whether it's greater than 51%), the critical value is approximately 1.645 (you can find this from a standard normal distribution table).

Decision: Compare the calculated test statistic (step d) with the critical value (step e). If (z > 1.645), you will reject the null hypothesis; otherwise, you will fail to reject it.

Conclusion: If the test statistic is greater than 1.645, you can conclude that there is sufficient evidence to support the claim that more than 51% of patients with high-deductible health plans have overdue medical bills. If the test statistic is less than 1.645, you would not have enough evidence to support this claim.

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Products approved by the FDA are completely without risk. Please select the best answer from the choices provided.a. True
b. False

Answers

the answer is B. Just because its FDA doesn't mean there are no risks. Rather in the FDA tests, the human subjects generally didn't have much risk. But everyone is different and there are always risks.

Products approved by the FDA are completely without risk. False. (Option B).

What is the product approved by FDA?

Products approved by the FDA are not completely without risk. While the FDA has stringent standards for evaluating the safety and efficacy of products before they are approved for market, no product is entirely risk-free.

The FDA conducts thorough reviews of data from clinical trials, preclinical studies, and other relevant information provided by manufacturers to determine whether a product's benefits outweigh its risks.

However, clinical trials might not always detect rare or long-term side effects, and the effects of a product on different populations may vary.

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Read the following scenario to determine which hazard prevention or control method applies. Marcos informs his fellow workers of the rules for using ladders safely. A.
Administrative Controls
B.
Communicate Safe Work Practices
C.
Emergency Planning
D.
Personal Protective Equipment

Answers

Answer:

The answer is B.  Communicate Safe Work Practices

Explanation:

Safe work practices are protocols for non-routine work through which it is intended to control hazards and manage the risks associated with them. It is important to keep in mind that safe work practices are typical of the non-routine activities carried out by the organization, which are not part of the normal production process, and that may involve some risks and dangers, so that it is necessary that the worker knows before entering those areas.

Communicate Safe Work Practices.

Which of the following statements about condoms is not true? a) Condoms are effective at reducing the risk of sexually transmitted infections (STIs) that are spread through bodily fluids. b) Condoms can help protect not only a woman from getting a sexually transmitted infection, but also her unborn baby. c) Condoms eliminate all risk of HIV exposure, so if you use them properly, you do not need to use any other prevention methods. d) Condoms provide only minimal protection against STIs such as genital herpes, human papillomavirus (genital warts), and syphilis.

Answers

Answer:

C

Explanation:

Condoms will not completely eliminate the risk of HIV exposure.

NEED HELP! 13 points‼️‼️‼️ will mark brainliest if u answer correctly ‼️‼️‼️ ASAP Please and thank you !

Answers

Answer:

13) 107 degrees Fahrenheit

14) 48 degrees Fahrenheit

15) 109 degrees Fahrenheit

16) 120 degrees Fahrenheit

What is the definition of Public Health ?

Answers


The health of the population as a whole, especially as monitored, regulated, and promoted by the state. In otherwords, the general health of a given area.