Normal Distribution, Statistical Methods - Exam 2 | STA 2023, Exams of Data Analysis & Statistical Methods

Material Type: Exam; Class: Statistical Methods; Subject: STA: Statistics; University: Valencia Community College; Term: Unknown 1989;

Typology: Exams

Pre 2010

Uploaded on 08/03/2009

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STA2023 – Test 2 Partial List of Topics
Many of these topics will be included on the exam, but not necessarily all of them. Furthermore,
other questions may be asked that are not included in this review. In addition to this review, look
over the labs, worksheets and the assigned problems from the textbook.
NORMAL DISTRIBUTIONS
Do you take a sample of size greater than one?
NO YES
Population Distribution Sampling Distribution
Standard Normal
otherwise proportion of mean of
Curve sample sample
Z X
p
ˆ
x
1. Basic Normal Distributions X and Z:
A) Sketch the normal curve, labeling the mean and 1, 2, and 3 standard deviations above and
below the mean.
B) Know what the Empirical Rule is and what it is used for.
C) Find intervals within k standard deviations of the mean and calculate the relative
frequency of data falling within these intervals.
D) Given the value of an observation (x-value), find its z-score.
E) Given a z-score, find the value of the x-value that it corresponds to.
F) Know how to use normalcdf and invnorm on your calculator.
G) Know how to use -1E99 and 1E99 on your calculator and what they represent.
H) Shade the curve and find the proportion of observations are
less than (or greater than) _____.
I) Shade the curve and find the proportion of observations that are between ____
and _____.
J) Understand how to find the probabablity of randomly picking a data (or z-score).
K) Suppose that a z-score was 1.25. Using a complete sentence, explain what this means in
the context of the given problem.
L) Interpret the meaning of the data using the 68-95-99.7 rule.
M) Know the notation (and be able to compute) in these examples: P(1.3 < z < 6.8),
P(z < -.5), P(z > -1.2). Also be able to do the same with x instead of z.
N) Given a percentage under the normal curve, find the value of X associated with it.
O) Remember to include units with story problem answers.
1
0
=
=
σ
µ
σ
µ
(
)
( )
n
pp
pSD
pp
)1(
ˆ
ˆ
=
=
µ
(
)
( )
n
xSD
x
σ
µµ
=
=
pf2

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STA2023 – Test 2 Partial List of Topics

Many of these topics will be included on the exam, but not necessarily all of them. Furthermore, other questions may be asked that are not included in this review. In addition to this review, look over the labs, worksheets and the assigned problems from the textbook.

NORMAL DISTRIBUTIONS

Do you take a sample of size greater than one?

NO YES

Population Distribution Sampling Distribution

Standard Normal otherwise proportion of mean of

Curve sample sample

Z X p ˆ^ x

1. Basic Normal Distributions X and Z: A) Sketch the normal curve, labeling the mean and 1, 2, and 3 standard deviations above and below the mean. B) Know what the Empirical Rule is and what it is used for. C) Find intervals within k standard deviations of the mean and calculate the relative frequency of data falling within these intervals. D) Given the value of an observation (x-value), find its z-score. E) Given a z-score, find the value of the x-value that it corresponds to. F) Know how to use normalcdf and invnorm on your calculator. G) Know how to use -1E99 and 1E99 on your calculator and what they represent. H) Shade the curve and find the proportion of observations are less than (or greater than) _____. I) Shade the curve and find the proportion of observations that are between ____ and _____. J) Understand how to find the probabablity of randomly picking a data (or z-score). K) Suppose that a z-score was 1.25. Using a complete sentence, explain what this means in the context of the given problem. L) Interpret the meaning of the data using the 68-95-99.7 rule. M) Know the notation (and be able to compute) in these examples: P(1.3 < z < 6.8), P(z < -.5), P(z > -1.2). Also be able to do the same with x instead of z. N) Given a percentage under the normal curve, find the value of X associated with it. O) Remember to include units with story problem answers.

n

p p

SD p

p p

n

SDx

x

σ

μ μ

2. Normal Sampling Distributions p ˆ and x :

A) Understand that a proportion can be described as a percentage and vice versa. B) Understand that a mean can be described as an average and vice versa. C) Be able to recognize the difference between a statistic and a parameter. D) Know the difference between descriptive and inferential statistics. E) Understand that a statistic is used to estimate a parameter. We want the statistic to be unbiased. F) Know what SRS stands for. G) Know the definition for Unbiased Estimator. H) Describe using only notation that a sample mean is an unbiased estimator of the population mean. I) Describe using only notation that a sample proportion is an unbiased estimator of the population proportion.

J) Understand what a sampling distribution is and the different types: p ˆ^ and x.

K) Know the four types of normal distributions discussed in the

course so far: z , x , p ˆ^ , x.

L) Be able to read a problem and know which normal distribution type you will use to help you solve it. M) Know the notation and formulas for the mean and standard deviation from each of the different types of sampling distributions. N) Be able to use normalcdf and invnorm from your calculator, inputting the correct values of the mean and standard deviation given any of the normal distribution types (see above). O) What are the conditions for the Central Limit Theorem to be applied and what does it tell us about the sample mean distribution when these conditions hold?

P) What are the conditions for the p ˆ distribution to be normal and to be able to use the

formulas for its mean and standard deviation? Q) Understand that when the conditions for the Central Limit Theorem are met that the

larger your sample size is, the closer the distribution of x will be to a normal

distribution. R) What is the mean and standard deviation of the sample means for a fixed sample size? Know the notation and the formulas that go with it. S) What is the mean and standard deviation of the sample proportions for a fixed sample size? Know the notation and the formulas that go with it. T) Know that when sampling from a normal distribution with a fixed sample size and when the population standard deviation is known that the sample means will have a normal distribution regardless of the sample size.

U) Be able to find probabilities for p ˆ^ when p ˆ^ has a normal (or approximately normal)

distribution.

V) Be able to find probabilities for x when x has a normal (or approximately normal)

distribution. W) Be able to draw clearly and with detail the normal curve associated with any of the normal distributions. Be sure to label to the right of the horizontal axis which

distribution you are using: z , x , x , p ˆ. Along the horizontal axis the values of the

mean and three standard deviations in each direction should be labeled. Be able to clearly and completely shade in the area under the curve corresponding to the problem situation.