Question

Explain how to use a normal distribution table for determining probability of a question regarding an interval of an outcome.

Answer #1

Find the probability using the normal
distribution:P(0<z<2.56). use the cumulative normal
distribution table and enter the answer to 4 decimal places.

Question 3
The text mentions that
in order to use the normal distribution for binomial distributions
that EITHER n(p) OR n(q) must be > 5.
True
False
Question 4
The reason that both
n(p) and n(q) are > 5 is that otherwise the distribution is
likely skewed
True
False
Question 5
The reason that the
distribution should not be skewed is that the normal distribution
assumes that symmetrical distribtuion
True
False
Question 6
Using ONLY the 68, 95,
and 99.7...

Part I: Normal Probability Distribution and Inverse Normal
Probability
You will use Minitab or Excel to answer the following questions. No
hand computation. Minitab users: You can learn about the options
inside the dialogue box of Normal Distribution by calc >
probability distributions > Cumulative Probability > A single
value for form of input > Choose Normal for Distribution >
Enter Value and parameters > Display a table of cumulative
probabilities > OK
Use the ? button in the dialogue...

The Normal Probability Distribution In §6.2 we are introduced to
the Normal Probability Distribution and the special case of the
Normal Probability Distribution, the Standard Normal Probability
Distribution, which is a Normal Probability Distribution with mean
(u) zero and variance (σ2) one (and standard deviation of
1). What is a z score?
2. What is the purpose of a z score?
3. If a z score were -3, where on the graph would it be? Is this
a rare or...

use the standard normal distribution table to determine the
missing values of the following probability. P(0≤Z≤?)=0.4884

Question 1:
How is the empirical distribution related to the normal
distribution?
Question 2:
How is the normal distribution related to the standard normal
distribution?
Question 3:
What is the importance of the Central Limit Theorem?

Create your own application that would be appropriate for the
use of a normal distribution probability analysis to find a
probability. Create your own example of a problem that would
require you to find the probability with a normal distribution.
Describe how you would go about completing the analysis of this
problem. Identify the appropriate steps and underlying
assumptions of this analysis (cite the textbook as
appropriate). Pose a research question that will allow
you to work through the example.

Use the table of standard normal probabilities (z table) to
answer the following questions. Please explain how you
calculate.
What is P(z >2.5)?
What is P(-0.8 < z < 1.5)?
What is P(0.65< z < 1.36)?
What z-value leaves 80 % of the normal distribution to its
right?
What z-value, and its negative, leaves 10 % of the normal
distribution in each tail (a total of 20% of the distribution in
both tails combined)?

How would I do a question like this:
Create the probability distribution table (correct to 4 decimal
places) for a binomial distribution with n=3 and p=0.4. I also have
to show the full calculation for each row.

What is the empirical rule?
A rule for determining the average of a normal distribution
based on the standard deviation.
A rough estimate of how different the sample and population
means should be for the result to be statistically significant.
A guideline of how one should gather empirical data.
A calculation rule for the confidence interval.
None of these

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