Get Instant Help From 5000+ Experts For
question

Writing: Get your essay and assignment written from scratch by PhD expert

Rewriting: Paraphrase or rewrite your friend's essay with similar meaning at reduced cost

Editing:Proofread your work by experts and improve grade at Lowest cost

And Improve Your Grades
myassignmenthelp.com
loader
Phone no. Missing!

Enter phone no. to receive critical updates and urgent messages !

Attach file

Error goes here

Files Missing!

Please upload all relevant files for quick & complete assistance.

Guaranteed Higher Grade!
Free Quote
wave
Important Concepts in Statistics
Answered

Chi-Square Goodness of Fit

Task:

Question 1

The "Goodness of Fit or Test for Independence" document in Module 6 Instruction Materials will be helpful to you in answering Questions 1 through 4.
If a questions asks if there is a preference (or significant preference), and there is just ONE categorical variable, this is our clue that we need to perform a:
        Chi-square Goodness of Fit test
        Chi-square Best Fit test
        Chi-square Test for Independence
        Chi-square Test for Dependence
Question 2
The "Goodness of Fit or Test for Independence" document in Module 6 Instruction Materials will be helpful to you in answering Questions 1 through 4.
If a questions asks if there is a relationship between two categorical variables, or asks if the categorical variables are related, this is our clue that we need to perform a:
        Chi-square Goodness of Fit test
        Chi-square Best Fit test
        Chi-square Test for Independence
        Chi-square Test for Dependence
Question 3
The "Goodness of Fit or Test for Independence" document in Module 6 Instruction Materials will be helpful to you in answering Questions 1 through 4.
With the Goodness of Fit test, the formula to calculate the Expected frequencies (otherwise called Expected values) is as follows:
       
        Divide the total number of people by the total number of cells
        Divide the total number of cells by the total number of people
        Row Total x Column Total / n
Question 4
The "Goodness of Fit or Test for Independence" document in Module 6 Instruction Materials will be helpful to you in answering Questions 1 through 4.
With the Test for Independence, the formula to calculate the Expected frequencies (otherwise called Expected values) is as follows:
       
        Divide the total number of people by the total number of cells
        Divide the total number of cells by the total number of people
        Row Total x Column Total / n
uestion 5
The "Addition Rule vs. Multiplication Rule" document in Module 7 Instruction Materials will be helpful to you in answering Questions 5, 6, 7, and 8.

When calculating probabilities, we use the Addition Rule when we are calculating the probability of:

        the joint or successive occurrence of multiple events
        when we are only sampling with replacement
        either one event or another event occurring
        when we are only sampling without replacement
Question 6
The "Addition Rule vs. Multiplication Rule" document in Module 7 Instruction Materials will be helpful to you in answering Questions 5, 6, 7, and 8.
When calculating probabilities, we use the Multiplication Rule when we are calculating the probability of:

        joint or successive occurrences of multiple events
        when we are only sampling with replacement
        either one event or another event occurring
        when we are only sampling without replacement
Question 7
The "Addition Rule vs. Multiplication Rule" document in Module 7 Instruction Materials will be helpful to you in answering Questions 5, 6, 7, and 8.

The probability of rolling EITHER a 1 or a 6 in one die toss
        (1/6 + 1/6) = .3300
        (1/6 x 1/6) = .0278
Question 8
The "Addition Rule vs. Multiplication Rule" document in Module 7 Instruction Materials will be helpful to you in answering Questions 5, 6, 7, and 8.


Suppose you sample 2 people from a population of 110 people (with 50 men and 60 women), with replacement. What is the probability that you will draw a woman on the first sample and a woman on the second sample?
        60/110 + 60/110 = 1.0909
        60/110 * 60/110 = .2976
        60/110 + 59/110 = 1.082
        60/110 * 59/109 = .2953
Question 9
The "Permutation or Combination" document in Module 8 of Instruction Materials will be helpful to you in answering Questions 9, 10, 11, and 12.


If a different ordering of the same objects selected (represented by r) gives you something new, then this represents a:
        Combination
        Order of Representation
        Permutation
Question 10
The "Permutation or Combination" document in Module 8 of Instruction Materials will be helpful to you in answering Questions 9, 10, 11, and 12.
A person calls Pizza Hut and places an order for a pepperoni, sausage, and green pepper pizza.  The very next caller places an order for a green pepper, sausage, and pepperoni pizza.  These pizzas represent a:
        Permutation
        Order of Representation
        Combination
Question 11
The "Permutation or Combination" document in Module 8 of Instruction Materials will be helpful to you in answering Questions 9, 10, 11, and 12.
In the formula for a Permutation, "r" represents:
        the number of objects being selected, in no particular order
        the order of the objects
        the number of subjects being sampled
        the number of subjects being sampled, minus 1
Question 12
The "Permutation or Combination" document in Module 8 of Instruction Materials will be helpful to you in answering Questions 9, 10, 11, and 12.
In the formula for a Combination, "r" represents:
        the number of objects being selected, in no particular order
        the order of the objects
Question 13
The "Getting Started in Module 9/10" document in Module 9/10 Instruction Materials will be helpful to you in answering Questions 13 through 20.
The basic question underlying hypothesis testing is:
        should the null hypothesis be rejected?
        should the null hypothesis be retained?
        could the relationship observed in the sample have occurred by chance?
        is the null hypothesis more appropriate than the alternative hypothesis?
Question 14
The "Getting Started in Module 9/10" document in Module 9/10 Instruction Materials will be helpful to you in answering Questions 13 - 20.
If you know the population standard deviation, you should perform a:
        correlation
        t-test
        regression
        z-test
Question 15
The "Getting Started in Module 9/10" document in Module 9/10 Instruction Materials will be helpful to you in answering Questions 13 - 20.
If you don't know the population standard deviation, but you have the sample standard deviation, you should perform a:
        correlation
        t-test
        regression
        z-test


0
uestion 16
The "Getting Started in Module 9/10" document in Module 9/10 Instruction Materials will be helpful to you in answering Questions 13 - 20.


True or False?   Alpha levels are always divided in half for two-tailed z-tests; use the halved alpha value to look up the critical z value in the z tables.
        True
        False
Question 17
The "Getting Started in Module 9/10" document in Module 9/10 Instruction Materials will be helpful to you in answering Questions 13 - 20.


True or False?  Confidence intervals are always one-tailed, regardless of whether the original z-test or t-test was one-tailed or two-tailed.
        True
        False
Question 18
The "Getting Started in Module 9/10" document in Module 9/10 Instruction Materials will be helpful to you in answering Questions 13 - 20.
The null hypothesis is always stated in a manner that conveys:
        that there is no difference between groups
        that there is a difference between groups
        that Group A improved more than Group B
        that Group B improved more than Group A
Question 19
The "Getting Started in Module 9/10" document in Module 9/10 Instruction Materials will be helpful to you in answering Questions 13 - 20.
The alternative hypothesis is always stated in a manner that conveys:
        that there is no difference between groups
        that there is a difference between groups
        that Group A decreased more than Group B
        that Group B decreased more than Group A

support
close