Section 1
Section 2
Section 3
Section 4
Section 5
100
A continuous probability distribution for the random variable "x"
What is Normal Distribution
100
the symbol for population mean
What is Mu (μ)
100
What did you learn in Chapter 5.3
Finding area values for z-scores
100
The probability distribution of a sample statistic that is formed when samples of size "n" are repeeatedly taken from a population
What is sampling distribution
100
When is the binomial random variable "x" normally distributed?
If np > or =5 and nq > or =5
200
I graphed a normal distribution bell-shape
What is a normal curve
200
The symbol for population standard deviation
What is sigma (σ)
200
How do you find the given area for a z-score?
Use Table 4
200
If the sample statistic is the sample mean, then...
the distribution is the sample distribution of sample means.
200
A probability histogram is used to represent...
What is binomial distribution?
300
The cumulative area is close to 0 for z-scores close to z=-3.49. The cumulative area increases as the z-scores increase. The cumulative area for z=0 is 0.5000. The cumulative area is close to 1 for z-scores close to z=3.49
What are the properties of standard normal distribution
300
In chapter 5.2, you learned...
What is probabilities
300
What is the formula for changing a z-score to an x-value?
x=μ+zσ
300
What is the standard error of the mean?
the standard deviation of the sampling distribution of the sample mean.
300
How do you find z-score for binomial properties?
z= (sample mean-population mean)/σ
400
The mean is 0 and the standard deviation is 1. It is normally distributed
What is standard normal distribution
400
Find z if x=2, μ=2.4, and σ=0.5
What is -0.80
400
What is the z-score for .4364?
z=-0.16
400
What is the symbol for standard area of the mean?
σx(x-bar)
400
Find z if: p=.51 x=39.5 μ=33.15 n=65
z= 1.58 (see Example 3)
500
The total area under a normal curve
What is 1.000
500
Table 4 is used when finding...
What is z-score
500
What is the z-score for P50?
What is z=0
500
What is the formula to transform x-bar to a z-score?
z= (sample mean-population mean)/σ/√n
500
When do you make correction to continuity
When you use a continuous normal distribution to approximate a binomial probability.
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