Answer:
d only.
Step-by-step explanation:
lol i know ur map testing, i had the same question yesterday
Answer:
Step-by-step explanation:
a) P(X > 6) = (9.5-6)/(9.5-5.5) = 3.5/4 = 0.875
b) P(X < 7) = (7-5.5)/(9.5-5.5) = 1.5/4 = 0.375
c) E(X) = (9.5+5.5)/2 = 7.5
Standard deviation = (9.5-5.5)/sqrt(12) =4/3.46 = 1.154
P= 1.156*2/(9.5-5.5) = 2.308/4 = 0.577
d) P(X > t) = 0.25
(9.5-t) /(9.5-5.5) = 0.3
9.5-t = 1.2
t = 9.5-1.2 = 8.3
The mean height would be 155
Answer:
no
Step-by-step explanation:
since;
(4--3)/(4-1)≠(8-4)/(5-4)
Answer:
The number of business students that must be randomly selected to estimate the mean monthly earnings of business students at one college is 64.
Step-by-step explanation:
The (1 - <em>α</em>) % confidence interval for population mean is:

The margin of error for this interval is:

The information provided is:
<em>σ</em> = $569
MOE = $140
Confidence level = 95%
<em>α</em> = 5%
Compute the critical value of <em>z</em> for <em>α</em> = 5% as follows:

*Use a <em>z</em>-table.
Compute the sample size required as follows:
![n=[\frac{z_{\alpha/2}\times \sigma}{MOE}]^{2}](https://tex.z-dn.net/?f=n%3D%5B%5Cfrac%7Bz_%7B%5Calpha%2F2%7D%5Ctimes%20%5Csigma%7D%7BMOE%7D%5D%5E%7B2%7D)
![=[\frac{1.96\times 569}{140}]^{2}\\\\=63.457156\\\\\approx 64](https://tex.z-dn.net/?f=%3D%5B%5Cfrac%7B1.96%5Ctimes%20569%7D%7B140%7D%5D%5E%7B2%7D%5C%5C%5C%5C%3D63.457156%5C%5C%5C%5C%5Capprox%2064)
Thus, the number of business students that must be randomly selected to estimate the mean monthly earnings of business students at one college is 64.