Questions: The Standard Normal Distribution (μ=0, σ=1)
(a) Convert the x interval, 4.5<x, to a z interval.
<z
(b) Convert the x interval, x<4.2, to a z interval.
z<
(c) Convert the x interval, 4.0<x<5.5, to a z interval.
<z<
(d) Convert the z interval, z<-1.44, to an x interval. (Round your answer to one decimal place.)
x<
(e) Convert the z interval, 1.28<z, to an x interval. (Round your answer to one decimal place.)
(f) Convert the z interval, -2.25<z<-1.00, to an x interval. (Round your answers to one decimal place.)
<x<
(9) If a female had an RBC count of 5.9 or higher, would that be considered unusually high? Explain using z values.
Yes. A z score of 5.00 implies that this RBC is unusually high.
No. A z score of -5.00 implies that this RBC is unusually low.
No. A z score of 5.00 implies that this RBC is normal.
Transcript text: The Standard Normal Distribution $(\mu=0, \sigma=1)$
(a) Convert the $x$ interval, $4.5
Solution
Solution Steps
Step 1: Understanding the Problem
We need to convert given x intervals to z intervals using the standard normal distribution formula. The standard normal distribution has a mean (μ) of 0 and a standard deviation (σ) of 1.
Step 2: Formula for Conversion
The formula to convert an x value to a z value is:
\[ z = \frac{x - \mu}{\sigma} \]
Since μ = 0 and σ = 1 for the standard normal distribution, the formula simplifies to:
\[ z = x \]
Step 3: Solving Part (a)
Convert the x interval, \( 4.5 < x \), to a z interval.
\[ 4.5 < x \]
Using the simplified formula:
\[ 4.5 < z \]
Step 4: Solving Part (b)
Convert the x interval, \( x < 4.2 \), to a z interval.
\[ x < 4.2 \]
Using the simplified formula:
\[ z < 4.2 \]
Step 5: Solving Part (c)
Convert the x interval, \( 4.0 < x < 5.5 \), to a z interval.
\[ 4.0 < x < 5.5 \]
Using the simplified formula:
\[ 4.0 < z < 5.5 \]