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.
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:
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:
Where:
- is the sample proportion (0.60).
- (p) is the proportion under the null hypothesis (0.51).
- (n) is the sample size (35).
Calculating (z):
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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b. False
Products approved by the FDA are completely without risk. False. (Option B).
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.
Learn more about FDA here: brainly.com/question/939216
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Administrative Controls
B.
Communicate Safe Work Practices
C.
Emergency Planning
D.
Personal Protective Equipment
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.
Answer:
C
Explanation:
Condoms will not completely eliminate the risk of HIV exposure.
Answer:
13) 107 degrees Fahrenheit
14) 48 degrees Fahrenheit
15) 109 degrees Fahrenheit
16) 120 degrees Fahrenheit