b. Stimulus that has been learned
c. Stimulus that is conditioned
d. Stimulus that does not cause a response
B. Boys have a lower success rate than girls.
C. They foster stronger character traits
D. They lead to depression in children
Answer:
(View Below)
Explanation:
To construct a 95% confidence interval estimate of the mean wait time for a population after the drug treatment, you can use the following formula for a confidence interval:
\[ \text{Confidence Interval} = \text{Sample Mean} \pm \left(\frac{\text{Standard Error}}{\sqrt{\text{Sample Size}}}\right) \times \text{Critical Value} \]
Here, you have the following information:
- Sample Mean (\( \bar{x} \)) after treatment = 94.1 minutes
- Standard Deviation (\( \sigma \)) after treatment = 21.4 minutes
- Sample Size (\( n \)) = 13
- Confidence Level = 95%
First, you need to find the critical value for a 95% confidence interval. This corresponds to a two-tailed confidence interval, so the critical value is based on the standard normal (Z) distribution. For a 95% confidence level, the critical Z-value is approximately ±1.96 (you can find this value from a Z-table or calculator).
Next, calculate the standard error (\(SE\)):
\[ SE = \frac{\sigma}{\sqrt{n}} \]
Substitute the values:
\[ SE = \frac{21.4}{\sqrt{13}} \approx 5.912 \text{ minutes} \]
Now, you can construct the confidence interval:
\[ \text{Confidence Interval} = 94.1 \pm (5.912 \times 1.96) \]
Calculating the endpoints:
Lower Limit = \( 94.1 - (5.912 \times 1.96) \)
Upper Limit = \( 94.1 + (5.912 \times 1.96) \)
Lower Limit ≈ 83.43 minutes
Upper Limit ≈ 104.77 minutes
The 95% confidence interval estimate for the mean wait time for the population after the drug treatment is approximately (83.43 minutes, 104.77 minutes).
Now, let's interpret the result:
- The original mean wait time before the treatment was 101.0 minutes.
- The lower limit of the confidence interval after the treatment is 83.43 minutes.
The result suggests that after the drug treatment, the mean wait time has decreased compared to before the treatment. The lower limit of the confidence interval is below the original mean wait time of 101.0 minutes. This suggests that the drug appears to be effective in reducing the mean wait time for the population.
However, it's essential to note that this is an observational study, and other factors could be at play. Further clinical trials and analysis are needed to establish the drug's effectiveness definitively.
The 95% confidence interval estimate for the mean wait time for a population's drug treatment is approximately (78.13, 109.07) minutes. The result suggests that the main wait time of 101.0 minutes before the treatment is not within the confidence interval, indicating that the drug appears to be effective in reducing the wait time.
To construct a 95% confidence interval estimate of the mean wait time for a population's drugtreatment, we can use the formula:
Confidence Interval = Sample Mean ± (Critical Value) * (Standard Deviation / √Sample Size)
Given that the sample mean after treatment is 94.1 minutes, the standard deviation is 21.4 minutes, and the sample size is 13, we can calculate the critical value using a t-distribution table or a statistical software.
Assuming a t-distribution with 12 degrees of freedom (n-1), the critical value for a 95% confidence level is approximately 2.179.
Substituting the values into the formula:
Confidence Interval = 94.1 ± (2.179) * (21.4 / √13)
Simplifying the expression:
Confidence Interval = 94.1 ± 15.97
Therefore, the 95% confidence interval estimate for the mean wait time for a population's drug treatment is approximately (78.13, 109.07) minutes.
The result suggests that the main wait time of 101.0 minutes before the treatment is not within the confidence interval. This indicates that the drug appears to be effective in reducing the wait time, as the confidence interval does not include the pre-treatment mean.
Learn more about confidence interval estimation and hypothesis testing here:
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Answer:
FALSE !!!!
Explanation:
Just took the test
Answer:
all of the above
Explanation:
The three strategies which are used to treat contagious infections are as follows:
A contagious infection may be defined as a disease that can spread or transmit from person to person via various means.
Any infection, first of all, needs a prescribed medication with regular intervals to cure it. During the time of medication consumption, personal hygiene and cleanliness should be maintained in order to prevent yourself from any microbes.
And at last, never mitigate some sorts of symptoms, consult with the doctor, take prescribed medications, and prevent yourself from spreading cleanliness.
Therefore, it is well described above.
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Answer:
Responses will vary. A sample response follows: Strategies that can be used to treat contagious infections include medication to eradicate infection, alleviation of symptoms, and prevention. Bacterial, fungal, and protozoan infections can be treated with various medications. Bacterial infections are often treated with antibiotics that are selected based on the type and severity of the bacterial infection. Antiviral drugs are commonly used to treat respiratory viruses, herpes viruses, and HIV. Antifungal medications are either administered orally or topically depending on the severity and location of the fungal infection. Since there is no known cure for viral infections, medication can only treat the symptoms. This does provide some alleviation. Many infections, such as rubella and small pox, can be prevented through vaccinations.
Explanation:
answer on edge2020