Alarge school district in connecticut wants to estimate the average sat score of this year's graduating class using a 95% confidence interval. the district takes a simple random sample of 100 seniors. the sample mean is 510 and the population standard deviation for sat scores is known to be 75. what is the 95% confidence interval for µ?

[ 502.5, 517.5]

Step-by-step explanation:

Given:

Mean of the sample, µ = 510

Total sample size, n = 100

Standard deviation = 75

Confidence level = 95%

Now,

The interval for µ is given as:

⇒ µ ±

for 95% confidence level z value = 1.96

Thus,

The interval for µ

⇒ 510 ±

or

⇒ 510 ± 7.5

or

⇒ [ 510 - 7.5, 510 + 7.5 ]

or

⇒ [ 502.5, 517.5]

answer: idk

step-by-step explanation:

"it's not the heat, it's the humidity".   that's a partly valid phrase you may have heard in the summer, but it's actually both.   the heat index, also known as the apparent temperature, is what the temperature feels like to the human body when relative humidity is combined with the air temperature.   this has important considerations for the human body's comfort.   when the body gets too hot, it begins to perspire or sweat to cool itself off.   if the perspiration is not able to evaporate, the body cannot regulate its temperature.   evaporation is a cooling process.   when perspiration is evaporated off the body, it effectively reduces the body's temperature.   when the atmospheric moisture content (i.e. relative humidity) is high, the rate of perspiration from the body decreases.   in other words, the human body feels warmer in humid conditions.   the opposite is true when the relative humidity decreases because the rate of perspiration increases.   the body actually feels cooler in arid conditions.   there is direct relationship between the air temperature and relative humidity and the heat index, meaning as the air temperature and relative humidity increase (decrease), the heat index increases (decreases).

step-by-step explanation: