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Svetlanka [38]
3 years ago
5

What is 0.002 one tenth of.

Mathematics
1 answer:
jeka943 years ago
7 0
Let's say is "x".

so, "x" is the whole or 10/10 whilst 0.002 is 1/10 then, let's check

\bf \begin{array}{ccll}
amount&fraction\\
\text{\textemdash\textemdash\textemdash}&\text{\textemdash\textemdash\textemdash}\\
0.002&\frac{1}{10}\\\\
x&\frac{10}{10}
\end{array}\implies \cfrac{0.002}{x}=\cfrac{\frac{1}{10}}{\frac{10}{10}}\implies \cfrac{0.002}{x}=\cfrac{\frac{1}{10}}{1}
\\\\\\
\cfrac{0.002}{x}=\cfrac{1}{10}\implies \cfrac{0.002\cdot 10}{1}=x
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(a) the probability that an individual distance is greater than 214.80 cm is 0.1401.

(b) The probability that the mean for 15 randomly selected distances is greater than 204.00 cm is 0.2482.

(c) The normal distribution can be used because the original population has a normal distribution.

Step-by-step explanation:

We are given that the overhead reach distances of adult females are normally distributed with a mean of 205.5 cm and a standard deviation of 8.6 cm.

(a) Let X = <em>the overhead reach distances of adult females</em>.

The z-score probability distribution for the normal distribution is given by;

                         Z  =  \frac{X-\mu}{\sigma}  ~ N(0,1)  

where, \mu = population mean reach distance = 205.5 cm  

           \sigma = standard deviation = 8.6 cm

So, X ~ Normal(\mu=205.5,\sigma^{2} =8.6^{2})

Now, the probability that an individual distance is greater than 214.80 cm is given by = P(X > 214.80 cm)

    P(X > 214.80 cm) = P( \frac{X-\mu}{\sigma} > \frac{214.80-205.5}{8.6} ) = P(Z > 1.08) = 1 - P(Z \leq 1.08)

                                                                    = 1 - 0.8599 = <u>0.1401</u>

The above probability is calculated by looking at the value of x = 1.08 in the z table which has an area of 0.8599.

(b) Let \bar X = <em>the sample mean selected distances</em>.

The z-score probability distribution for the sample mean is given by;

                                   Z  =  \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } }  ~ N(0,1)  

where, \mu = population mean reach distance = 205.5 cm  

           \sigma = standard deviation = 8.6 cm

           n = sample size = 15

Now, the probability that the mean for 15 randomly selected distances is greater than 204.00 cm is given by = P(\bar X > 204.00 cm)

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                                                                    = 1 - 0.7518 = <u>0.2482</u>

The above probability is calculated by looking at the value of x = 0.68 in the z table which has an area of 0.7518.

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