Aclinic took temperature readings of 250 flu patients over a weekend and discovered the temperature distribution to be gaussian, with a mean of 102.00°f and a standard deviation of 0.5660. use this normal error curve area table to find the following values:
(a) what is the fraction of patients expected to have a fever greater than 103.58°f?
(b) what is the fraction of patients expected to have a temperature between 101.43°f and 102.74°f?

a) 0.00262 is the fraction of patients expected to have a fever greater than 103.58 F.

b) 0.748 is the fraction of people expected to have temperature between 101.43 F and 102.74 F.

Step-by-step explanation:

We are given the following information:

n = 250

Population mean, μ = 102.00 F

Standard Deviation, σ = 0.5660

Formula:

a) P(x > 103.58)

Converting into standard normal variate

The probability value is calculated from normal standard table.

Thus, 0.00262 is the fraction of patients expected to have a fever greater than 103.58 F.

b)P(101.43 < x < 102.74)

Converting into standard normal variate

The probability value is calculated from normal standard table.

Hence, 0.748 is the fraction of people expected to have temperature between 101.43 F and 102.74 F.

54 km / hours

step-by-step explanation:

we need to convert seconds to hours

60 seconds = 1 minutes

60 minutes = 1hour

15 m         60 second   60 minutes

  * *         = 54000 meters/ hour

second     1 minute             1 hour

now we need to convert meters to km

1000 m = 1 km

54000 m       1 km

*   = 54 km / hours

hour               1000m

answer: 8d

step-by-step explanation:

45+5= 50+5=55+5=60