Answer: tis B
Explanation: took the test
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O a patient rubs on an ointment - drug absorbed through skin into the blood liver processes the drug - drug
released as waste
O a patient swallows a pill - drug enters blood after digestion - drug converted to metabolites - drug enters urine
O a patient rubs on an ointment - liver converts drug - drug absorbed through skin - drug released as waste
O a patient swallows a pill - drug enters blood after digestion - drug enters urine - drug converted to metabolites
Explanation:
a patient swllows pill drug enters blood after digestion drug converted to metabolism drug enters urine
The period of transition between childhood and adulthood is called adolescence. Therefore, option (B) is correct.
The transition from childhood to adulthood is referred to as adolescence, which typically begins with the beginning of puberty and concludes with the attainment of legal adulthood. Adolescence is a period of development that takes place between childhood and adulthood. It is characterized by significant changes in a person's physical appearance, emotional state, cognitive abilities, as well as transitions in their social and cultural environments.
When a person reaches their teenage years, they typically go through a period of rapid physical growth and development, as well as shifts in the hormonal balance of their bodies. They may also develop new cognitive abilities, such as the ability to reason abstractly and critically, which enables them to make decisions that are more complex and effectively solve problems. Individuals go through a period of beginning to form their own identities as well as taking on new roles and responsibilities during adolescence, which is also a time of increasing independence and autonomy. The events that occur and the difficulties that must be overcome during adolescence can have a significant bearing on a person's future health, happiness, and level of achievement in life.
Learn more about adolescence, here:
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Answer: Sound volume or intensity
Explanation:
A basic hearing test measures how much sound volume or intensity is required to hear several frequencies in the typical range of human hearing.
During a hearing test, different frequencies are played at varying volumes, and the person being tested indicates when they can hear the sound. The test starts with low frequencies and gradually moves to higher frequencies. This helps determine the person's hearing threshold for different frequencies.
For example, if someone has a hearing threshold of 20 decibels (dB) for a particular frequency, it means that they can barely hear that sound at 20 dB. If they have a hearing threshold of 0 dB, they can hear the sound at the lowest volume level.
The results of the hearing test provide information about a person's hearing abilities and any potential hearing loss they may have. This information can be used to diagnose hearing problems and recommend appropriate treatment or intervention, such as hearing aids or other assistive devices.
In summary, a basic hearing test measures the sound intensity needed to hear different frequencies in the range of human hearing. This helps assess a person's hearing threshold and determine if there is any hearing loss present.
A basic hearing test, or audiometry test, measures how much sound intensity a person requires to hear various frequencies in the typical range of human hearing.
A basic hearing test measures how much sound intensity, or volume, is needed for a person to hear various frequencies within the typical range of human hearing. These tests, known as audiometry tests, are used for diagnosing hearing impairments. They use a set of frequencies ranging from 20 Hz to 20,000 Hz, which is the normal range of human hearing. The sound intensity is usually measured in decibels (dB). For each frequency, the lowest dB level a person can hear is determined. This level is the person's hearing threshold for that frequency.
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B. Specificity
C. Overload
D. Progression
Answer:
B. Specificity.
Explanation:
Specificity is focusing on a specific part of the body, and in this case, jimmy is focusing on his biceps' muscles.
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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