Protective equipment is important because __________.a. it ensures that injuries will not occur
b. it is designed to look sleek and fitted
c. it keeps activities safe for the participants by reducing injury risk
d. it doesn't matter how you wear it as long as you wear it

Answers

Answer 1
Answer:

Protectiveequipment is important because it keeps activities safe for the participants by reducing injuryrisk. The correct option is c.

What is protective equipment?

Personal protective equipment (PPE) includes clothing, helmets, gloves, face shields, goggles, facemasks, and/or respirators, as well as other items designed to protect the wearer from injury or the spread of infection or illness.

Giving or being protected against something unpleasant means preventing harm or damage to people or things.

Personal Protective Equipment (PPE) is essentially a collection of items that you can wear to protect yourself from various hazardous conditions.

PPE is important because it prepares you for potentialhealth and safety hazards and provides additional protection in the event of an accident or against the elements.

Thus, the correct option is c.

For more details regarding protective equipment, visit:

brainly.com/question/1998715

#SPJ2

Answer 2
Answer:

Answer:

c. it keeps activities safe for the participants by reducing injury risk

Explanation:

Just took test


Related Questions

Exercises that work the core are exercising muscles found in the __________.A. arms B. chest C. abdomen D. legs
What percentage of diabetes patients have type 2?
We have a sample of 2,400 geriatric patients who are in an assisted living home, of which 1,200 participated in a new preventative Drug A. Rates of UTIs tend to be higher than average among this population. As part of a preventative and treatment intervention, we are examining the performance of several drugs:Preventative Drug (before the onset of UTI)Drug A: preventative UTI drug taken daily in hopes to prevent thgrowthof bacteria that causes UTIsTreatment Drugs (after the onset of UTI)Drug B: New antibiotic for treating UTIsDrug C: Conventional antibiotic for treating UTIs nformation for how many patients took each drug or combination of drugs is summarized below in the two tables. Use these to answer questions a) -d) Table 1. Summary of performance of drug A: UTI rates among those taking and not taking drug ADid not take Drug ADid take Drug A total UTI 759 887 164 No UTI 441 312 753Total 1200 1200 2400Table 2. Summary of performance of drug B and C: recovery status after 1 week of taking medications. Did not take Drug A Did take Drug A Drug B Drug C Drug B Drug C Recovered 191 209 221 244 Not Recovered 189 170 223 199 Total 380 379 444 443 a. Use the above Table 1 to determine if Drug A was useful in preventing UTIs. In other words, is the proportion of those having taking Drug A but still getting a UTI equal to average rate of UTI for this population (living in an assisted living home) of 74%. Use hypothesis testing to test our hypothesis and use the confidence interval approach with a significance level of α=0.01. b. Using Table 2, let’s examine the rate of UTI recovery among Drug C (conventional antibiotics). The manufacturer of Drug C claims it has a success rate (recovery within a week) of 55%. Use our data to see if this success rate is true: test if our recovery rate of those taking Drug C, regardless of whether the person took Drug A or not, is the same or different than 55%. Use hypothesis testing and the p-value approach with an α=0.05. c. Similarly, let’s examine Drug B’s performance. Repeat our hypothesis among Drug B: test if our recovery rate of those taking drug B is different than 55% (regardless of whether the patient took Drug A or not). Use hypothesis testing and p-value approach with an α=0.1.
Which details support the central idea of the passage?Exercise each dayRevisit both short- and long-term goalsMonitor diet and exerciseCreate goals with adults and peersLimit foods that increase BMI
While in the_food is broken down by powerful acids and turned into chyme.

A clinical trial was conducted to test the effectiveness of a drug for treating insomnia and other subjects. Before treatment, 13 subjects had a mean week time of 101.0 minutes. After treatment, the 13 subjects I mean wait time of 94.1 minutes and a standard deviation of 21.4 minutes. Assume that the 13 sample values appear to be from a normally distributed population and construct a 95% confidence interval estimate of the main wait time for a populations drug treatment what does a result suggest about the main week time of 101.0 minutes before the treatment? Does the drug appear to be effective?

Answers

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.

Final answer:

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.

Explanation:

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:

brainly.com/question/32016541

#SPJ14

Someone who takes club drugs in a beverage is risking which of the following is a possible outcome? . . Bone loss.

Cancer.

Coma.

Infection

Answers

The correct answer is Coma due to increased intoxication. Bone loss, infections, and cancer, are acquired through different methods and often require for actual wounds to be on the body. Coma on the other hand can occur when drugs are mixed with alcohol.

The correct answer is Coma. thus option C is correct.

What is the stage of coma?

A person in a coma is not aware of their surroundings and will not respond to voices, other sounds, or any other activities. Although the person is still alive, his or her brain is at its lowest level of alertness. Someone who is in a coma cannot be shaken awake like someone who has just fallen asleep.

Bone loss, infections, and cancer are acquired through various mechanisms as a result of greater intoxication, and sometimes necessitate the presence of physical lesions on the body. When medications are combined with alcohol, however, a coma can result.

Learn more about the stage of coma here:

brainly.com/question/13064317

#SPJ5

What does a bmi 44.47 mean

Answers


bmi stands for body mass indicater I belive


A bmi under 18.5 is regarded as underweight
A bmi of 18.5 to 24.9 is considered healthy 
 a bmi of  25 to 29.9 is overweight 
and a bmi of 30 or higher is considered obese
Hope this helps :) 

Someone who suffers from narcolepsy may experience __________.a. trouble getting to sleep
b. hallucinations
c. frequent awakenings
d. terrifying dreams

Answers

Narcolepsy is a chronic neurological disorder  that causes periods of extreme daytime sleepiness.  The brain's ability to control sleep-wake cycles is affected.

Someone who suffers from narcolepsy may experience hallucinations. Correct answer: B People with narcolepsy can have vivid, dream-like hallucinations while falling asleep or as they are waking up.

A  person that is suffering from narcolepsy   is very much prone to having hallucinations.

What is narcolepsy ?

The term narcolepsy  refers to a disease condition in which a person will always fall asleep anytime that he/she finds him/herself in a relaxed environment.

Such a person that is suffering from narcolepsy   is very much prone to having hallucinations.

Learn more about hallucinations:brainly.com/question/7202494

#SPJ5

Give an example of how a clinical psychologist might treat someone diagnosed with a mood disorder.

Answers

Responses will vary. A sample response follows: A clinical psychologist may suggest that someone with a mood disorder set up an appointment with a psychiatrist to get medication to stabilize or assist with mood swings. The psychologist might also teach the client different strategies for handling stressful situations and/or techniques to stabilize mood issues.

A clinical psychologist could use a number of methods to treat someone with a mood disorder, depending on their area of expertise as well as the patient's expectations and preferences. A few examples of different psychological methods include: Cognitive Behavioral Therapy, which can work well for patients with depression, anxiety, or phobias; psychoanalysis, which is a more Freudian approach that focuses on past trauma, the unconscious, repressed memories, subconscious fears or desires, and so on; or, the psychologist might use a combination of different methods in order to fit the needs of their patient. If the psychologist determines that therapy alone is not the right option for their patient, they might then refer them to a psychiatrist, who would be able to prescribe appropriate medication.

What eating disorder is characterized by recurring episodes of binge eating and vomiting? Option 1: anorexia nervosa Option 2: bulimia Option 3: RED-S Option 4: binge eating Correct Option: Option 2

Answers

It would be option 2: Bulimia