The statement “Type 2 diabetes usually appears after age 40” is true.
Further Explanation:
A metabolic disease that happens due to high levels of sugar in the blood is called diabetes. Insulin is the hormone that is secreted by pancreas and is necessary for the use of sugar from the diet in the body. The insulin keeps a track on the level of blood sugar in the body. The condition of hyperglycemia or hypoglycemia is also prevented by the insulin. Aberration in the quantity of insulin or the response to insulin can cause a very common disease called diabetes.
Diabetes can be of two types:
The type 2 diabetes is usually the more common type of diabetes that occurs in majority of the population suffering from diabetes. Frequent feeling of thirst, peeing a lot, blurry vision and delayed wound healing are some of the major symptoms of type 2 diabetes. Due to the fact that the body gets resistant to the insulin, it is pretty evident that the cause displays at later stages of life therefore, type 2 diabetes occurs after age of 40 years.
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Answer details:
Grade: College biology.
Subject: Clinical biochemistry.
Chapter: Diabetes
Keywords:
Frequent feeling of thirst, peeing a lot, blurry vision and delayed wound healing, insulin, blood sugar level, hyperglycemia, hypoglycemia, type 1 diabetes, type 2 diabetes, oral medications, hormones.
While it is true that type 2 diabetes can often develop in middle-aged and older individuals, it is not strictly limited to individuals over the age of 40. Type 2 diabetes can occur at any age, including in children, adolescents, and young adults.
The risk of developing type 2 diabetes does increase with age, and the majority of cases are diagnosed in individuals who are over 40 years old.
Several factors contribute to the development of type 2 diabetes, including genetic predisposition, lifestyle choices, and underlying health conditions. Risk factors such as being overweight or obese, having a sedentary lifestyle, having a family history of diabetes, and having certain ethnic backgrounds can increase the likelihood of developing type 2 diabetes.
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a. True
b. False
Answer:
TRUE
Explanation:
b. raise public awareness of the need for a physically active lifestyle
c. emphasize the medical importance of exercise to physicians
d. all of the above are correct
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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Answer:
Muscular Strength; the type and frequency of activity are on target for success in this area
Explanation: