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In a standard Normal distribution, what percentage of observations lie between [tex]z=0.37[/tex] and [tex]z=1.65[/tex]?

A. [tex]$30.62 \%$[/tex]
B. [tex]$40.52 \%$[/tex]
C. [tex]$59.48 \%$[/tex]
D. [tex]$69.38 \%$[/tex]


Sagot :

To determine the percentage of observations that lie between [tex]\( z = 0.37 \)[/tex] and [tex]\( z = 1.65 \)[/tex] in a standard normal distribution, we can use the cumulative distribution function (CDF) values for these z-scores.

1. Find the cumulative probabilities:
- For [tex]\( z = 0.37 \)[/tex], the cumulative probability (denoted as [tex]\( P(Z \leq 0.37) \)[/tex]) is approximately 0.6443. This means that about 64.43% of the data lies to the left of [tex]\( z = 0.37 \)[/tex].
- For [tex]\( z = 1.65 \)[/tex], the cumulative probability (denoted as [tex]\( P(Z \leq 1.65) \)[/tex]) is approximately 0.9505. This means that about 95.05% of the data lies to the left of [tex]\( z = 1.65 \)[/tex].

2. Calculate the percentage of observations between the z-scores:
- To find the percentage of observations between [tex]\( z = 0.37 \)[/tex] and [tex]\( z = 1.65 \)[/tex], we need to subtract the cumulative probability at [tex]\( z = 0.37 \)[/tex] from the cumulative probability at [tex]\( z = 1.65 \)[/tex].
[tex]\[ P(0.37 \leq Z \leq 1.65) = P(Z \leq 1.65) - P(Z \leq 0.37) \][/tex]
[tex]\[ P(0.37 \leq Z \leq 1.65) = 0.9505 - 0.6443 = 0.3062 \][/tex]

3. Convert the decimal to a percentage:
- Convert the decimal [tex]\( 0.3062 \)[/tex] to a percentage by multiplying by 100:
[tex]\[ 0.3062 \times 100 = 30.62\% \][/tex]

Therefore, the percentage of observations lying between [tex]\( z=0.37 \)[/tex] and [tex]\( z=1.65 \)[/tex] is [tex]\( 30.62\% \)[/tex].

Among the given options:
[tex]$30.62 \%$[/tex]
[tex]$40.52 \%$[/tex]
[tex]$59.48 \%$[/tex]
[tex]$69.38 \%$[/tex]

The correct answer is:
[tex]$30.62 \%$[/tex]
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