the PDF of normal distribution is = 1/σ * √2π * e ^ -(x-u)^2/
2σ^2
standard normal distribution is a normal distribution with a,
mean of 0,
standard deviation of 1
equation of the normal curve is ( Z )= x - u / sd/sqrt(n) ~
N(0,1)
mean of the sampling distribution ( x ) = 673
standard Deviation ( sd )= 32/ Sqrt ( 15 ) =8.2624
sample size (n) = 15
probability that their mean weight will be between 650 and 662
grams
To find P(a <= Z <=b) = F(b) - F(a)
P(X < 650) = (650-673)/32/ Sqrt ( 15 )
= -23/8.2624
= -2.7837
= P ( Z <-2.7837) From Standard Normal Table
= 0.0027
P(X < 662) = (662-673)/32/ Sqrt ( 15 )
= -11/8.2624 = -1.3313
= P ( Z <-1.3313) From Standard Normal Table
= 0.0915
P(650 < X < 662) = 0.0915-0.0027 = 0.0889
please refer to how you calculate z by graphing calculator Ind value from Tival Go X...
Reattempt this question Question with last attempt is displayed for your review only A particular fruit's weights are normally distributed, with a mean of 327 grams and a standard deviation of 20 grams. If you pick 15 fruit at random, what is the probability that their mean weight will be between 341 grams and 343 grams. 0301 Round to 4 decimal places. Answers obtained using exact z-scores or z-scores rounded to 2 decimal places are accepted.
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