This document contains 54 multiple choice questions about probability concepts from the textbook "Quantitative Analysis for Management, 11e". The questions cover topics such as fundamental probability concepts, mutually exclusive and collectively exhaustive events, statistically independent events, probability distributions including binomial and normal distributions, and Bayes' theorem. For each question, the answer and difficulty level is provided along with the topic area.
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Logical reasoning questions and answers is the second priority given field in Competitive exams. Practicing Logiacal reaasoning will consider as the powerful tool to moniter our brain functioning.To answer a Logical reasoning question will need the techniq to identify the logic behind that. The Logical reasoning technique invented and included into competitive exams to save the time to solve perticular academic problems.
http://www.mydearstudent.com/reasoning
TitleABC123 Version X1Time to Practice – Week Three .docxedwardmarivel
Title
ABC/123 Version X
1
Time to Practice – Week Three
PSYCH/625 Version 1
2
University of Phoenix Material
Time to Practice – Week Three
Complete both Part A and Part B below.
Part A
Some questions in Part A require that you access data from Statistics for People Who (Think They) Hate Statistics. This data is available on the student website under the Student Test Resources link.
1. For the following research questions, create one null hypothesis, one directional research hypothesis, and one nondirectional research hypothesis.
a. What are the effects of attention on out-of-seat classroom behavior?
Research Hypothesis: There will be a relationship between the effects of attention on out-of-seat classroom behavior versus in-seat-classroom behavior.
b. What is the relationship between the quality of a marriage and the quality of the spouses’ relationships with their siblings?
Null Hypothesis: There will be no relationship in the relationship between the quality of a marriage and the quality of the spouses’ relationship with their siblings.
c. What is the best way to treat an eating disorder?
One Directional Research Hypothesis:
2. Provide one research hypothesis and an equation for each of the following topics:
a. The amount of money spent on food among undergraduate students and undergraduate student-athletes
b. The average amount of time taken by white and brown rats to get out of a maze
c. The effects of Drug A and Drug B on a disease
d. The time to complete a task in Method 1 and Method 2
3. Why does the null hypothesis presume no relationship between variables?
4. Create a research hypothesis tested using a one-tailed test and a research hypothesis tested using a two-tailed test.
5. What does the critical value represent?
6. Given the following information, would your decision be to reject or fail to reject the null hypothesis? Setting the level of significance at .05 for decision making, provide an explanation for your conclusion.
a. The null hypothesis that there is no relationship between the type of music a person listens to and his crime rate (p < .05).
In Hypothesis Testing, we typically deem a research hypothesis to be significant, if the odds of two means actually being equal are no greater than 1 in 20 or .05 (5%) or less.
b. The null hypothesis that there is no relationship between the amount of coffee consumption and GPA (p = .62).
c. The null hypothesis that there is a negative relationship between the number of hours worked and level of job satisfaction (p = .51).
7. Why is it harder to find a significant outcome (all other things being equal) when the research hypothesis is being tested at the .01 rather than the .05 level of significance?
At the .01 level, there is less room for error because the test is more rigorous.
8. Why should we think in terms of “failing to reject” the null rather than just accepting it?
9. When is it appropriate to use the one-sample z test?
10. What similarity does a z test have ...
Logical reasoning questions and answers is the second priority given field in Competitive exams. Practicing Logiacal reaasoning will consider as the powerful tool to moniter our brain functioning.To answer a Logical reasoning question will need the techniq to identify the logic behind that. The Logical reasoning technique invented and included into competitive exams to save the time to solve perticular academic problems.
http://www.mydearstudent.com/reasoning
TitleABC123 Version X1Time to Practice – Week Three .docxedwardmarivel
Title
ABC/123 Version X
1
Time to Practice – Week Three
PSYCH/625 Version 1
2
University of Phoenix Material
Time to Practice – Week Three
Complete both Part A and Part B below.
Part A
Some questions in Part A require that you access data from Statistics for People Who (Think They) Hate Statistics. This data is available on the student website under the Student Test Resources link.
1. For the following research questions, create one null hypothesis, one directional research hypothesis, and one nondirectional research hypothesis.
a. What are the effects of attention on out-of-seat classroom behavior?
Research Hypothesis: There will be a relationship between the effects of attention on out-of-seat classroom behavior versus in-seat-classroom behavior.
b. What is the relationship between the quality of a marriage and the quality of the spouses’ relationships with their siblings?
Null Hypothesis: There will be no relationship in the relationship between the quality of a marriage and the quality of the spouses’ relationship with their siblings.
c. What is the best way to treat an eating disorder?
One Directional Research Hypothesis:
2. Provide one research hypothesis and an equation for each of the following topics:
a. The amount of money spent on food among undergraduate students and undergraduate student-athletes
b. The average amount of time taken by white and brown rats to get out of a maze
c. The effects of Drug A and Drug B on a disease
d. The time to complete a task in Method 1 and Method 2
3. Why does the null hypothesis presume no relationship between variables?
4. Create a research hypothesis tested using a one-tailed test and a research hypothesis tested using a two-tailed test.
5. What does the critical value represent?
6. Given the following information, would your decision be to reject or fail to reject the null hypothesis? Setting the level of significance at .05 for decision making, provide an explanation for your conclusion.
a. The null hypothesis that there is no relationship between the type of music a person listens to and his crime rate (p < .05).
In Hypothesis Testing, we typically deem a research hypothesis to be significant, if the odds of two means actually being equal are no greater than 1 in 20 or .05 (5%) or less.
b. The null hypothesis that there is no relationship between the amount of coffee consumption and GPA (p = .62).
c. The null hypothesis that there is a negative relationship between the number of hours worked and level of job satisfaction (p = .51).
7. Why is it harder to find a significant outcome (all other things being equal) when the research hypothesis is being tested at the .01 rather than the .05 level of significance?
At the .01 level, there is less room for error because the test is more rigorous.
8. Why should we think in terms of “failing to reject” the null rather than just accepting it?
9. When is it appropriate to use the one-sample z test?
10. What similarity does a z test have ...
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1. According to the empirical rules, approximately 99.7 of the ob.docxhyacinthshackley2629
1. According to the empirical rules, approximately 99.7% of the observations will fall within ________. (Points : 2)
one standard deviation of the mean
two standard deviations of the mean
three standard deviations of the mean
four standard deviations of the mean
2. Numerical facts and figures that are collected through some type of measurement process are called ________. (Points : 2)
statistics
metric
information
variables
3. Which of the following functions is used to find the smallest value in a range of cells using Microsoft Excel? (Points : 2)
MAX(range)
MIN(range)
SUM(range)
AVERAGE(range)
4. A metric that is derived from counting something is called a(n) ________ metric. (Points : 2)
continuous
nominal
discrete
ordinal
5. Which of the following principles underlie statistical thinking? (Points : 2)
All work occurs in a system of interconnected processes.
All processes are identical without any degree of variation.
Better performance results from increasing variation.
Variations in measurement will not occur unless there are variations in the true values.
6. Outcomes such as customer satisfaction and dissatisfaction, complaints and complaint resolution, and customer perceived value would be considered ________ outcomes. (Points : 2)
customer-focused
workforce-focused
product and process
leadership and governance
7. A distribution that is relatively flat with a wide degree of dispersion has a coefficient of kurtosis that is ________. (Points : 2)
more than 3
less than 3
less than 6
more than 6
8. The correlation coefficient is a number between ________. (Points : 2)
0 and +1
-1 and 0
-1 and +1
-2 and +2
9. The number of phone calls coming into a switchboard in the next five minutes will either be 0, 1, 2, 3, 4, 5, or 6. The probabilities are the same for each of these (1/7). If X is the number of calls arriving in a five-minute time period, what is the mean of X? (Points : 2)
2
3
4
5
10. If two events are mutually exclusive, then (Points : 2)
their probabilities can be added.
the joint probability is equal to 0.
if one occurs, the other cannot occur.
All of the above
11. A discrete random variable has a mean of 400 and a variance of 64. What is the standard deviation? (Points : 2)
64
8
20
400
12. Suppose that, historically, April has experienced rain and a temperature between 35 and 50 degrees on 20 days. Also, historically, the month of April has had a temperature between 35 and 50 degrees on 25 days. You have scheduled a golf tournament for April 12. If the temperature is between 35 and 50 degrees on that day, what will be the probability that the players will get wet? (Points : 2)
0.333
0.667
0.800
1.
36086 Topic Discussion3Number of Pages 2 (Double Spaced).docxrhetttrevannion
36086 Topic: Discussion3
Number of Pages: 2 (Double Spaced)
Number of sources: 1
Writing Style: APA
Type of document: Essay
Academic Level:Master
Category: Psychology
Language Style: English (U.S.)
Order Instructions: Attached
I will upload the instructions
Reference/Module
Learning Objectives
•Explain what the x2 goodness-of-fit test is and what it does.
•Calculate a x2 goodness-of-fit test.
•List the assumptions of the x2 goodness-of-fit test.
•Calculate the x2 test of independence.
•Interpret the x2 test of independence.
•Explain the assumptions of the x2 test of independence.
The Chi-Square (x2) Goodness-of-Fit test: What It Is and What It Does
The chi-square (x2) goodness-of-fit test is used for comparing categorical information against what we would expect based on previous knowledge. As such, it tests what are called observed frequencies (the frequency with which participants fall into a category) against expected frequencies (the frequency expected in a category if the sample data represent the population). It is a nondirectional test, meaning that the alternative hypothesis is neither one-tailed nor two-tailed. The alternative hypothesis for a x2 goodness-of-fit test is that the observed data do not fit the expected frequencies for the population, and the null hypothesis is that they do fit the expected frequencies for the population. There is no conventional way to write these hypotheses in symbols, as we have done with the previous statistical tests. To illustrate the x2 goodness-of-fit test, let's look at a situation in which its use would be appropriate.
chi-square (x2) goodness-of-fit test A nonparametric inferential procedure that determines how well an observed frequency distribution fits an expected distribution.
observed frequencies The frequency with which participants fall into a category.
expected frequencies The frequency expected in a category if the sample data represent the population.
Calculations for the x2 Goodness-of-Fit Test
Suppose that a researcher is interested in determining whether the teenage pregnancy rate at a particular high school is different from the rate statewide. Assume that the rate statewide is 17%. A random sample of 80 female students is selected from the target high school. Seven of the students are either pregnant now or have been pregnant previously. The χ2goodness-of-fit test measures the observed frequencies against the expected frequencies. The observed and expected frequencies are presented in Table 21.1.
TABLE 21.1Observed and expected frequencies for χ2 goodness-of-fit example
FREQUENCIES
PREGNANT
NOT PREGNANT
Observed
7
73
Expected
14
66
As can be seen in the table, the observed frequencies represent the number of high school females in the sample of 80 who were pregnant versus not pregnant. The expected frequencies represent what we would expect based on chance, given what is known about the population. In this case, we would expect 17% of the females to be pregnant .
Week 5 HomeworkHomework #1Ms. Lisa Monnin is the budget dire.docxmelbruce90096
Week 5 Homework
Homework #1
Ms. Lisa Monnin is the budget director for Nexus Media Inc. She would like to compare the daily travel expenses for the sales staff and the audit staff. She collected the following sample information.
Sales ($)
129
137
142
162
137
145
Audit ($)
128
98
128
140
148
110
132
At the 0.1 significance level, can she conclude that the mean daily expenses are greater for the sales staff than the audit staff?
(a)
State the decision rule. (Round your answer to 3 decimal places.)
Reject H0 if t >
(b)
Compute the pooled estimate of the population variance. (Round your answer to 2 decimal places.)
Pooled variance
(c)
Compute the test statistic. (Round your answer to 3 decimal places.)
Value of the test statistic
(d)
State your decision about the null hypothesis.
H0 : μs ≤ μa
(e)
Estimate the p-value. (Round your answers to 3 decimal places.)
p-value
Homework #2
Suppose you are an expert on the fashion industry and wish to gather information to compare the amount earned per month by models featuring Liz Claiborne attire with those of Calvin Klein. Assume the population standard deviations are not the same. The following is the amount ($000) earned per month by a sample of Claiborne models:
$5.4
$4.3
$3.7
$6.7
$4.9
$5.9
$3.1
$5.2
$4.7
$3.5
5.8
4
3.1
5.6
6.9
The following is the amount ($000) earned by a sample of Klein models.
$2.5
$2.6
$3.5
$3.4
$2.8
$3.1
$4
$2.5
$2
$2.9
2.7
2.3
(1)
Find the degrees of freedom for unequal variance test. (Round down your answer to the nearest whole number.)
Degrees of freedom
(2)
State the decision rule for 0.01 significance level: H0: μLC ≤ μCK; H1: μLC > μCK. (Round your answer to 3 decimal places.)
Reject H0 if t>
(3)
Compute the value of the test statistic. (Round your answer to 3 decimal places.)
Value of the test statistic
(4)
Is it reasonable to conclude that Claiborne models earn more? Use the 0.01 significance level.
H0. It is to conclude that Claiborne models earn more.
Homework #3
A recent study focused on the number of times men and women who live alone buy take-out dinner in a month. The information is summarized below.
Statistic
Men
Women
Sample mean
23.82
21.38
Population standard deviation
5.91
4.87
Sample size
34
36
At the .01 significance level, is there a difference in the mean number of times men and women order take-out dinners in a month?
(a)
Compute the value of the test statistic. (Round your answer to 2 decimal places.)
Value of the test statistic
(b)
What is your decision regarding on null hypothesis?
The decision is the null hypothesis that the means are the same.
(c)
What is the p-value? (Round your answer to 4 decimal places.)
p-value
rev: 04_04_2012, 04_25_2014_QC_48145
Homework #4
Suppose the manufacturer of Advil, a common headache remedy, recently developed a new formulation of the drug that is claimed to be more effective. To evaluate the new drug, a s.
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