## MAT 300 Homework

MAT 300 Homework in \$40 Only

All calculations and relevant Minitab output must be included to receive full credit. Be sure to word-process your solutions and copy and paste the appropriate outputs from Minitab. Show all steps used in arriving at the final answers. Incomplete solutions will receive partial credit. This exam covers content from Modules One through Three.

(1) Consider the GASTURBINE data set and corresponding output from Minitab. Note that all tests should be performed at the α = 0.05 level. Use the complete data set in your analysis. The first 10 observations are given for illustrative purposes. Complete parts a) through f) below.

## STAT 200 Week 6 Homework

STAT 200 Week 6 Homework in \$25 Only
18. You choose an alpha level of .01 and then analyze your data.
a. What is the probability that you will make a Type I error given that the null hypothesis is true?
b. What is the probability that you will make a Type I error given that the null hypothesis is false?

7. Below are data showing the results of six subjects on a memory test. The three scores per subject are their scores on three trials (a, b, and c) of a memory task.
Are the subjects get- ting better each trial? Test the linear effect of trial for the data.

## STAT 200 Week 7 Homework and Quiz 3

STAT 200 Week 7 Homework and Quiz 3 in \$45 Only

Lane – Ch. 14

2. The formula for a regression equation is Y’ = 2X + 9.

a. What would be the predicted score for a person scoring 6 on X?

b. If someone’s predicted score was 14, what was this person’s score on X?

6. For the X,Y data below, compute:

a. r and determine if it is signiﬁcantly different from zero.

b. the slope of the regression line and test if it differs signiﬁcantly from zero.

c. the 95% conﬁdence interval for the slope.

## STAT 200: Introduction to Statistics Final Examination

STAT 200: Introduction to Statistics Final Examination, Spring 2016 OL1/US1 in \$79 Only

STAT 200: Introduction to Statistics Final Examination, Spring 2016 OL1/US1

1. True or False. Justify for full credit.
(a) The standard deviation of a data set cannot be negative.
(b) If P(A) = 0.4 , P(B) = 0.5, and A and B are disjoint, then P(A AND B) = 0.2.
(c) The mean is always equal to the median for a normal distribution.
(d) A 95% confidence interval is wider than a 98% confidence interval of the same parameter.
(e) In a two-tailed test, the value of the test statistic is 1.5. If we know the test statistic follows a Student’s t-distribution with P(T < 1.5) = 0.98, then we fail to reject the null hypothesis at 0.05 level of significance .
2. Identify which of these types of sampling is used: cluster, convenience, simple random, systematic, or stratified. Justify for full credit.

## MAT540 Week 8 Assignment 1 Linear Programming Case Study

MAT540 Week 8 Assignment 1 Linear Programming Case Study in \$15 Only

Assignment 1. Linear Programming Case Study
Your instructor will assign a linear programming project for this assignment according to the following specifications.
It will be a problem with at least three (3) constraints and at least two (2) decision variables. The problem will be bounded and feasible. It will also have a single optimum solution (in other words, it won’t have alternate optimal solutions). The problem will also include a component that involves sensitivity analysis and the use of the shadow price.
You will be turning in two (2) deliverables, a short writeup of the project and the spreadsheet showing your work.
Writeup.

## Qnt. 5040 HCT Merger Forecasting Case Study

Qnt. 5040 HCT Merger Forecasting Case Study in \$36 Only

HCT Merger Forecasting Case Study Qnt. 5040

Forecasting Case Study
Maximum Points: 35 points
Files Needed:
1.    HCT Merger Forecasting Case Study 2015 (a Word file)
2.    HCT Forecasting Case Study Spring 2015 Raw Data (an Excel file)
Introduction
This is the second of the major reports that you will completing this term.  This individual case study is a forecasting study, you are to analyze the data about the company using the various statistical tests you have previously learned in this course and then forecast the next 8 months of revenue for the HCT multinational corporation  (http://www.htc.com/us/).  Then you will advise Mr. Wallbanger if he should proceed with the possible purchase of 4 percent of the company for \$250 million (US).

## Question Related to Confidence Intervals

Question Related to Confidence Intervals in \$8 Only

Confidence Intervals” (Note: Please respond to one [1] of the following two [2] bulleted items)

The vast majority of the world uses a 95% confidence in building confidence intervals.  Give your opinion on why 95% confidence is so commonplace. Justify your response.
Construct a hypothetical 95% confidence interval for a hypothetical case of your choosing. Use your own unique choice of mean, standard deviation, and sample size to calculate the confidence interval. Select one (1) option provided below and analyze what will happen to your confidence interval based on the option you selected:
The confidence changes to 90%.
The confidence changes to 99%.
The sample size is cut in half.
The sample size is doubled.
The sample size is tripled.
Price of Answer: Just US\$8 only

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## Background for Discussion about Data Collection Integrity

Background for Discussion about Data Collection Integrity in \$12 Only

Conclusions of statistical inference are meaningless if the data are not collected properly!

Before beginning a unit on frog anatomy, a seventh-grade biology teacher gives each of the 24 students in the class a pretest to assess their knowledge of frog anatomy. The teacher wants to compare the effectiveness of an instructional program in which students physically dissect frogs with the effectiveness of a different program in which students use computer software that simulates the dissection of a frog. After completing one of the two programs, students will be given a post-test to assess their knowledge of frog anatomy. The teacher will then analyze the changes in the test scores (their score on the post-test minus their score on the pretest). Suppose the teacher decides to allow the students to select which instructional program on frog anatomy (physical dissection or computer simulation) they prefer to take. Furthermore, suppose that 11 students choose actual dissection and 13 students choose computer simulation. Here are the results in a test of significance to compare the two groups:

 Computer Simulation Group Student Pretest Posttest Difference (posttest-pretest) A 58 88 30 B 48 78 30 C 59 89 30 D 55 85 30 E 54 84 30 F 60 90 30 G 48 78 30 H 53 83 30 I 47 77 30 J 56 86 30 K 55 85 30 L 77 88 11 M 75 87 12 Mean 27.2 St Dev 6.95

 Actual Frog Dissection Group Student Pretest Posttest Difference (posttest-pretest) N 88 98 10 O 78 86 8 P 89 99 10 Q 85 93 8 R 84 94 10 S 90 98 8 T 78 88 10 U 83 91 8 V 77 87 10 W 86 94 8 X 85 95 10 Mean 9.1 St Dev 1.04

The teacher uses a two sample significance test of means to make a comparison between the two groups. She tests the hypothesis that students who use the computer simulation will see a greater improvement in their scores.

1. Null & Alternate Hypotheses
1. H0: μ1 = μ2
2. HA: μ1 > μ2
2. Test statistic: t = 9.27
3. p-value = 0.000
4. Reject H0. Evidence shows that students who use the computer simulation will see a greater improvement in their scores. In fact, since the p-value is 0, there is strong evidence that this is the case.

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## CSE 340 The transistor Used

CSE 340 The transistor Used in \$8 only

b) The transistor used in the circuit below has the following h-parameters, hie = 2k; hoe = 60

S; hfe = 100.Calculate:

i) The amplifier current gain [5mks]

ii) The actual power delivered to the external load [3mks]

iii) The turn’s ratio required for a matching transformer in order to maximize the power

Price of Answer: Just US\$8 only

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## Study Conducted by Research Department in Pharmaceutical Company

Study Conducted by Research Department in Pharmaceutical Company in \$7 only…

For a study conducted by the research department of a pharmaceutical company, 240 randomly selected individuals were asked to report the amount of money they spend annually on prescription allergy relief medication. The sample mean was found to be \$17.60, with a standard deviation of \$5.50. A random sample of 245 individuals was selected independently of the first sample. These individuals reported their annual spending on non-prescription allergy relief medication. The mean of the second sample was found to be \$18.40, with a standard deviation of \$4.30. As the sample sizes were quite large, it was assumed that the respective population standard deviations of the spending for prescription and non-prescription allergy relief medication could be estimated by the respective sample standard deviation values given above.

Construct a 95% confidence interval for the difference µ1 – µ2 between the mean spending on prescription allergy relief medication (µ1) and the mean spending on non-prescription allergy relief medication (µ2).

Summary of sample statistics

Size Mean Std. Dev.

Sample 1 240 17.6 5.5

Sample 2 245 18.4 4.3

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## Nonparametric Test

What nonparametric test is used when the assumptions for the parametric ANOVA cannot be met? Its purpose is to test whether three or more populations are equal. The data must be at least ordinal scaled.

A.  Students’ t

B.  Kruskal- Wallis

C.  Mann-Whitney

D.  ANOVA

Price of Answer: Just US\$ 0.50 only

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## Full Course QTN 561 Entire Class (Weeks 1-6) – All Chapters Exercies, Individual Assignments, 3 Final Exam

Full Course QTN 561 Entire Class (Weeks 1-6) –  All Chapters Exercies, Individual Assignments, 3 Final Exam

## QNT 561 Week 3 Individual Assignment A Decision of Uncertainty

Applied Business Research and Statistics- Week Three

Assignment: Decision of Uncertainty Paper

• Resource: Week Three Student Roadmap
• Research statistical data in a business context that requires a decision. Use probability concepts to formulate a decision.
• Writea 700- to 1,050-word paper, explaining your research methods and process for limiting the uncertainty in the decision. Explain the following:
• Include how you applied concepts to formulate your decision
• Include appropriate probability concepts and your application to find resulting data to limit uncertainty in this decision.
• Identify each outcome from your statistical analysis, providing rationale for each.
• Identify tradeoffs between accuracy and precision required by various probability concepts and the effect on your data.
• Include the decision you made based on statistical data.
• Format your paper consistent with APA guidelines.

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## Regression, Beta, Standard Dev, Correlation and other Calculation for S&P500

Image via Wikipedia

The assignment will be collected at the beginning of final exam. You should turn in the Excel
workbook for this assignment with your report.
1. Use http://finance.yahoo.com to obtain daily closing prices for your company. Use Excel to
calculate daily returns for the period January 1, 2010 – December 31, 2010. Calculate,
• Average daily return,
• Standard deviation of returns.
Repeat the analysis for the Dow Jones Industrial Average (DJIA). Ticker is ^DJI.
• Average daily return for your stock, yourstock R
• Standard deviation of daily returns, yourstock σ
• Average daily return for DJIA, DJIA R
• Standard deviation of daily returns on the DJIA, DJIA σ .

## Alpha, Beta and Fitted Line for Colgate-Palmolive (CL)

Case Study on page 447-448 within the Ross textbook

1.   Go to finance.yahoo.com and download the ending monthly stock prices for Colgate-Palmolive for the last 60 months. Use the adjusted closing price, which adjusts for dividend payments and stock splits. Next, download the ending value of the S&P 500 index over the same period. For the historical risk-free rate, go to the St. Louis Federal Reserve Web site  (www.stlouisfed.org) and find the three-month Treasury bill secondary market rate. Download this file. What are the monthly returns, average monthly returns, and standard deviations for

Colgate-Palmolive stock, the three-month Treasury bill. and the S&P 500 tbr this period?

2.   Beta is often estimated by linear regression. A model often used is called the market model, which is:

## Simple Statistics Definitions

Simple Statistics Definitions

Answer and provide explanation of the definitions listed below:

1. F distribution
2. F statistic
3. chi-square distribution
4. t distribution
5. dependent samples
6. independent samples
7. degrees of freedom
8. t statistic
9. paired difference

No Plagiarism.

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## Statistics Questions

1. A health magazine presented results of a recent study that analyzed data collected by the U.S. Census Bureau in 2000.  Results reveal that for both men and women in the U.S., heart disease remains the number on killer, victimizing 500,000 people annually.  Age, obesity, and inactivity all contribute to heart disease, and all three of these factors vary considerably from one location to the next.  The highest mortality rates (death per 100,000 people) were reported in New York, Florida, Oklahoma, And Arkansas, whereas the lowest were reported in Alaska, Utah, Colorado, and New Mexico
• What is the population?
• What is the sample:
• Is the study descriptive or inferential In nature? Explain briefy
• Is the study observational or experimental?  Explain  briefyly
• What are the variables?
• What level of measurement was used to obtain data from the variables?
• Classify all the variables of the study as either attribute or numerical
• What parameter best characterizes the risk for each member of the population?

2.   Identify each of the following as examples of nominal, ordinal, discrete, or continuous variables:

• A poll of registered voters in Florida asking which candidate they support:
• The length of time required for a wound to heal when using a new medicine:
• The number of telephone calls arriving at a switchboard per five-minute period:
• The distance first-year college football players can kick a ball:
• The number of pages in a book:
• The rankings of employees on their job performance:

3.   Describe the four levels of measurement:

• Nominal:
• Ordinal:
• Interval:
• Ratio:

4. Construct a frequency distribution table to organize the following set of quiz scores:

3    5    4          6          2          3          4          1          4          3          7          7          3

4   5     8          3          2          4          7          10

5. Construct a grouped frequency distribution for the following 28 scores using a class width of 5.

23        20        18        22        12        14        21        23        16        21        22

21        16        18        27        30        17        24        21        27        19        29]

25        23        28        24        19        18

6.  Identify the sampling technique used to obtain a sample in each of the following.  Explain why you chose the sampling technique you did for each

• Everry 20th washing machine coming off an assembly line is checked for defects:
• District supervisors are selected using random number in order to determine annual salaries:
• Students at a local university are classified according to their major.  Then a random sample of 20 students from each major is selected:
• The first 40 people entering a supermarket are asked their opinion on the price of cooking oil:
• A state is divided into regions using zip codes.  A random sample of 30 zip code areas is selected: