6.3.97 z-score, percentage
According to a recent study, the carapace length for adult males of a certain species of tarantula are normally distributed with a mean of \(\mu\) = 17.14
mm and a standard deviation of \(\sigma\) = 1.88
mm. Complete parts (a) through (d) below.
(a)Find the percentage of the tarantulas that have a carapace length between 15 mm and 16 mm.
First, we need to find z-score for 15mm and 16mm by using the formula \(z=\frac{x-\mu}{\sigma}\)
15-17.14)/1.88 (
## [1] -1.138298
16-17.14)/1.88 (
## [1] -0.606383
We get each probability to the left by using pnorm() command or using the table
pnorm((16-17.14)/1.88 )
## [1] 0.2721302
pnorm((15-17.14)/1.88 )
## [1] 0.1274981
In order to get the data between the range 15 and 16 we subtract these probabilities above
pnorm((16-17.14)/1.88)-pnorm((15-17.14)/1.88)
## [1] 0.1446322
Round the answer two four decimal places
round(pnorm((16-17.14)/1.88)-pnorm((15-17.14)/1.88), 4)
## [1] 0.1446

(b) Find the percentage of the tarantulas that have a carapace length exceeding 18 mm.
First, we need to find z-score for 18mm
18-17.14)/1.88 (
## [1] 0.4574468
We get each probability to the left by using pnorm() command or using the table
pnorm((18-17.14)/1.88 )
## [1] 0.676325
In order to get the data exceeding 18 mm
1-pnorm((18-17.14)/1.88)
## [1] 0.323675
Round the answer two four decimal places
round(1-pnorm((18-17.14)/1.88), 4)
## [1] 0.3237
(c) Determine and interpret the quartiles for the carapace length of these tarantulas.
The area to the left of the first quartile is .25
Using qnorm() to get the z-value
qnorm(.25)
## [1] -0.6744898
Using the formula \(x = \mu + \sigma . z\)
17.14 + 1.88 * qnorm(.25)
## [1] 15.87196
round(17.14 + 1.88 * qnorm(.25), 2)
## [1] 15.87
Since the area to the left of second and third quartile are .5 and .75 Using the same approach we have
round(17.14 + 1.88 * qnorm(.5), 2)
## [1] 17.14
round(17.14 + 1.88 * qnorm(.75), 2)
## [1] 18.41

(d) Obtain the 95th percentile for the carapace length of these tarantulas
The area to the left of 95th percentile is .95
round(17.14 + 1.88 * qnorm(.95), 2)
## [1] 20.23

Hope that helps!