University of Houston
College of Technology
Department of Construction Management
Statistical Modeling and Optimization
CNST 6397
Chapter 3. Estimation
1
Introduction
Typically, all population information is not available
For example, to estimate the brea
Chien-Ping Chen
UHV QMS6351
Chapter 7: Sampling Distributions
1.
As the sample size increases, the variability among the sampling distribution
a.
increases
b.
decreases
c.
remains the same
d.
depends upon the specific population being sampled
2.
The proba
Chien-Ping Chen
UHV QMS6351
Chapter 14: Simple Linear Regression-Part I
1.
Regression analysis is a statistical procedure for developing an equation that describes how
a.
one independent and one or more dependent variables are related
b.
several independe
Chien-Ping Chen
UHV QMS6351
Chapter 9 Part I: Hypothesis Testing-Rejection Region Approach
1.
In hypothesis testing, the hypothesis tentatively assumed to be true is
a.
the alternative hypothesis
b.
the null hypothesis
c.
either the null or the alternativ
Chien-Ping Chen
UHV QMS6351
Chapter 10: Statistical Inferences
1.
If two independent large samples are taken from two populations, the sampling distribution of the
difference between the two sample means
a.
can be approximated by a Poisson distribution
b.
Chien-Ping Chen
UHV QMS6351
Chapter 15: Multiple Regression
1.
A multiple regression model has
a.
only one independent variable
b.
more than one dependent variable
c.
more than one independent variable
d.
at least 2 dependent variables
2.
In multiple regr
Chien-Ping Chen
UHV QMS6351
Chapter 1: Data and Statistics
1.
The entities on which data are collected are
a.
elements
b.
populations
c.
sets
d.
samples
2.
The set of measurements collected for a particular element is (are) called
a.
census
b.
variables
c
Chien-Ping Chen
UHV QMS6351
Chapter 3: Descriptive Statistics: Numerical Methods
1.
The mean of a sample is
a.
always equal to the mean of the population
b.
always smaller than the mean of the population
c.
computed by summing the data values and dividing
Chien-Ping Chen
UHV QMS6351
Chapter 14: Simple Linear Regression-Part II
Please answer question 1~6 based upon Exhibit 1. The EXCEL output for simple linear regression
between house value ($1,000s) and household annual income ($1,000s).
Exhibit 1
SUMMARY
Chien-Ping Chen
UHV QMS6351
Chapter 9 Part II: Hypothesis Testing-P Value Approach
1.
A beer filling machine, when in perfect adjustment, fills the bottles with 16 ounces of beer. Any
overfilling or underfilling results in the shutdown and readjustment of
Chien-Ping Chen
UHV QMS6351
Chapter 8: Interval Estimation
1.
An interval estimate is used to estimate
a.
the shape of the population's distribution
b.
the sampling distribution
c.
a sample statistic
d.
a population parameter
2.
A 95% confidence interval
Chien-Ping Chen
UHV QMS6351
Chapter 5: Discrete Probability Distribution
1.
A numerical description of the outcome of an experiment is called a
a.
descriptive statistic
b.
probability function
c.
variance
d.
random variable
2.
The number of customers that
Chien-Ping Chen
UHV QMS6351
Chapter 6: Continuous Probability Distribution
1.
Which of the following is NOT a characteristic of the normal probability distribution?
a.
The mean, median, and the mode are all the same
b.
The mean of the distribution can be
SpaceX
Space Exploration Technologies Corporation usually called as SpaceX, is the first privately funded
aerospace industry with a vision to enable people live on other planets.
It is founded in 2002 by elon musk and it is headquartered in hawthorne,Cali
Correct. An automobile financing company is interested in estimating how satisfied customers are with their service. They develop a question in which a customer is ask to rate the service of the company on a scale of from 1 to 10 where 1 is extremely diss