...TMGT 361 Assignment VII BInstructions See the general assignment instructions for information about the quality and quantity expectations and evaluation criteria. SPC & statistics. You can collect and use your own data instead of the data sets provided by the instructor for the unit VII assignments. Note that there are 4 assignments based on unit VII but only one quiz. VII B. Using data set VIIB, do the following. Show your work (by hand or software output). Calculate appropriate descriptive statistics. Create a histogram and assess normality. What are the raw scores that correspond to +/- 1.96σ and +/-3σ? Calculate a CI for the mean. You pick the interval, e.g., 95%. Test µ = 10.0. You select the Type I error rate. Calculate appropriate descriptive statistics. The data follows: Product...
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... Part A 1. Why is a z score a standard score? Why can standard scores be used to compare scores from different distributions? It is a scores relationship to the mean indicating whether it is above or below the mean. It does this by converting scores to z score. Yes – keep going – just a bit more is needed.2 out of 3 pts 2. For the following set of scores, fill in the cells. The mean is 74.13 and the standard deviation is 9.98. |Raw score |Z score | |68.0 |-.6142 | |?58.16 yes! |–1.6 | |82.0 |.789 | |92.09 |1.8 | |69.0 |-.514 | |69.14 |–0.5 | |85.0 |1.089 | |91.096 |1.7 | |72.0 |-.213 no | Calculations? Always include either calculations or SPSS output. 2 out of 3 pts 3. Questions 3a through 3d are based on a distribution of scores with [pic] and the standard deviation = 6.38. Draw a small picture to help you see what is required. a. What is the probability of a score falling between a raw score of 70 and 80? .5668ok b. What is the probability of a score falling above a raw score of 80? .2166ok c. What is the probability of a score falling between a raw score of 81 and 83? .0686 close d. What is the probability of a score falling below a raw score of 63? .0300ok No calculations. 2 out of 3 pts. 4. Jake needs to score in the top 10% in order to...
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...Week 4 Individual Assignment Erwin O. Raymer III PSY/315 Jan. 13th 2014 Jennifer Lapin Week 4 Individual Assignment The five steps of hypothesis testing consist of the following. Restate the question as a research hypothesis and a null hypothesis. This is where an individual would make a research hypothesis, which is basically a prediction intended to be tested in a research study. This prediction is usually based on the researcher’s theory. A null hypothesis is the opposite of the research hypothesis. If the null hypothesis is found to be true then it is not possible for the research hypothesis to be relevant. Same goes for if the research hypothesis is true then the null hypothesis is unable to be relevant as well. Determine the characteristics of the comparison distribution. In the hypothesis testing process you want to find out the probability that you could have a sample score as extreme as what you got if your sample was from a population with a distribution of the sort you would have if the null hypothesis were true. That is in the hypothesis testing process, you compare the actual samples score to this comparison distribution. Determine the cut off sample score on the comparison distribution at which the null hypothesis should be rejected. (Critical value) Ideally, before conducting a study, researchers set a target against which they will compare their results. How extreme a sample score they would need to decide against...
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...deviation, we are then able to calculate the __________ under the curve between any score and the mean. a. range b. area c. mean d. mode 3. What percentage of the area under the normal curve falls between ±2 standard deviations? a. 99.72 b. 95.46 c. 68.26 d. 20.0 4. The number of standard deviations that a given raw score is above or below the mean is referred to as a a. mean. b. frequency distribution. c. variance. d. Z score. 5. Suppose that in a particular sample, the mean is 70.07 and the standard deviation is 10.27. What is the Z score that corresponds to a raw score of 80? a. 0.97 b. 6.82 c. 9.93 d. 14.61 6. Suppose that in a particular sample, the mean is 70.07 and the standard deviation is 10.27. What is the raw score associated with a Z score of 1.88? a. 80.54 b. 88.00 c. 89.38 d. 90.27 7. To find proportion of the area under the normal curve between two z-scores, one below the mean and the other above the mean, it is necessary to examine the a. sum of the areas between each z-score and the mean. b. difference of the areas between each z-score and the mean. c. sum of the areas beyond each z-score and the mean. d. difference of the areas beyond each z-score and the mean. 8. Suppose that in a particular sample, the mean is 70.07 and the standard deviation is 10.27. What is the Z score for a raw score of 65? a. -0.49 b. 0.49...
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...into the shaded boxes below. The boxes will expand as you type your answers. 3. Resave this form to your computer with your answers filled-in. 4. Attach the saved form to your reply when you turn-in your work in the Assignments section of the Classroom tab. Note: Each question in the assignments section will be listed separately; however, you only need to submit this form one time to turn-in your answers. Read each question in your text book and then type your answers for Chapter 4 Practice Problem 11, 14 & 18 in the shaded boxes below. Please record only your answers. It is not necessary to show your work. 11. Step 1 – Restate the research question; specify the null theory about the populations. - This is step is necessary because it is a reference point throughout the study. Always state the null theory and the alternate theory Null - Ho: Alternate - Ha: Step 2 – Determine the features of the compared distribution. Define the level of significance, using type 1 errors; identify sample size using data and resources that are available. Step 3 – Find out the sample’s score on the comparison distribution. Once the sample outcomes are the Z score can be computed as under: is z = (x - μ) / σ. Step 4 – Determine the sample’s score on the comparison distribution. Collect any data and compute the statistics test to find p -value Step 5 – Select the appropriate theory (conclusion). Classify the p-value and identify whether not to reject the null theory...
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...Name:Alexis Mallory Date: Graded Assignment Unit Test, Part 2: Three-Dimensional Figures and Graphs Answer the questions below. When you are finished, submit this test to your teacher by the due date for full credit. Total score: ____ of 45 points (Score for Question 1: ___ of 8 points) Discuss the differences between the measurement of the surface area and the measurement of the volume of a right rectangular prism. Include the following topics in your discussion. Description of regions that are measured Units for each type of measure and why the units are different Examples of when you would want to measure for each type of measure Answer: For surface area it is how much space each face takes up. Volume is to find how much space is inside the object. To find the surface area you...
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...PLS 676 – Homework Assignment #4 (Worth 37 points) Each correct answer is worth 1 point. Use the gss.sav data file to answer the following questions below. 1. In the 1996 election (PRES96), how did Clinton, Dole, and Perot supporters (ignore Other) differ? Use the MEANS procedure to answer the following questions: a. Whose supporters (Clinton, Dole, or Perot) were the oldest (AGE)? _________________________ b. Whose supporters (Clinton, Dole, or Perot) were the best educated (EDUC)? _________________ c. Whose supporters (Clinton, Dole, or Perot) were the wealthiest (RINCDOL)? _________________ d. What were the mean ages of female supporters for each the three candidates (Clinton, Dole, and Perot)? Clinton___________ Dole___________ Perot___________ ========================================================================== Use the salary.sav data file for the following questions below. 2. Use the MEANS procedure to compute mean beginning salaries (SALBEG) for people in different job categories (JOBCAT). a. Which job category has the largest mean beginning salary? ______________________________ b. Which job category has the smallest mean beginning salary? _____________________________ 3. Use the MEANS procedure to compute median beginning salaries (SALBEG) for people of different genders and races (SEXRACE). a. What is the median beginning salary for white males? ______________________________________ b. What is the median beginning salary for minority females? _________________________________...
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...Type 2 consist of a negative trend which reflects moving into an undesirable direction which is clinically significant. The graph reflects and upward downward trend which indicates that Amy is stabled; yet her scores have not decreased towards positive results. Amy’s baseline Z-score statistical analysis was 0 which indicates she is at baseline. The individualized rating score (IRS) implemented with eight measurement observations for Amy consisted of the following scores: the baseline data mean was 18.5, standard deviation was 0.755929, a minimum of 17, and a maximum of 19 (Di Noia, 2008). The results of the intervention appeared more problematic towards the target behavior. Addressing Amy’s triggers which consisted of addressing her childhood sexual abuse and her mother’s neglect caused Amy to withdrawal during intervention. The findings of the baseline/intervention comparison Z statistical analysis were -0.04688. The Z-score is considered baseline. The overall comparison of both the baseline and intervention’s Z-score was 0.73 or 0.727152 which indicates baseline stability...
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... Introduction The rationale of writing this paper is to show how statistics data analysis works. Statistics as we learned, is the practice of collecting, organizing, analyzing and interpreting data to make decisions. The two types of data used in the project are sampling and proportions. The methods used can be used by any professional or in any occupation. It can be used to determine the standard deviation, mean of any data among others. Part 1 In part one, each student was asked to take a tally of the 3 bags of candies bought from three different stores. And then we were asked to count the totals of each color in all 3 bags. Part 2 We used the excel data provided to complete the assignment. We looked at the data from two perspectives” color and proportions and the number of candies per bag. For the color proportion; we used the total for each color divided but the total number of candies sampled. As for the number of candies per bag, we use the data in the number candies in bag column. We used the total number of candies per bag divided by the total candies to arrive at the color proportion. Blue Orange Green Yellow Red Brown 757 743 610 393 421 418 0.2265 0.2223 0.1825 0.1176 0.126 0.1251 Then we were made to calculate the sample mean number of candies per bag. In another sheet within the workbook we used, we created a histogram for the number of...
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...UNS/CASS DBA Program Subject: Assignment of the Quantitative and Qualitative Research Methodology Lecturer: Name: Submission Date: SPSS Assignment Suppose we have captured 1,500 records from Century 21 Real Estate Company. They have recorded the properties’ market values at Dec 31, 2010 & Dec 31, 2011. 1. Draw a histogram with properties’ building footages, and their market value in 2011. Discuss the characteristics of those 2 distributions. 2. Test whether the average property market value in 2011 is significantly different from $4,750,000 at 1% level of significance. 3. Suppose the 1,500 properties are separated into 2 districts: T.S.T. (Group 1) & Jordan (Group2). Test whether there is any difference between the 2 districts in year of 2010 at 1% level of significance (Assume Equal Variances). 4. Test whether the average property market value in 2010 is significantly different from those in 2011 at 3% level of significance. Answers: 1. Draw a histogram with properties’ building footages, and their market value in 2011. Discuss the characteristics of those 2 distributions. Answer: The histograms, one shows the properties by their market values while another by their sizes in 2011 are showed below. The values of skewness and kurtosis of the first histogram in Figure 1.1 (that is, by the property market values) are 0.201 and -1.112 respectively, while the values for a normal distribution should be both zero (Table 1.1). The skewness...
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...point unless otherwise noted, thus, 16 points total for Chapter 7, 8, & 9. 4 Resave this form to your computer with your answers filled in. 5 Upload the saved form to the Assignment Files tab. Read Chapter 7 Practice Problem 26 in your text book and then type your answers into the shaded boxes below. Explain the results of any three rows from Table 7-15 on page 270. In your answer, please indicate the row first and then provide the explanation. For example, if you are interested in discussing the first row, you would begin by typing “Important” into the shaded box and then begin your explanation of the results. Given that the person to whom you are explaining this problem is not aware of t tests, a brief discussion of the nature of t tests is given below. ********** Practice problem 26 presents significant or non-significant results in terms of t tests, a new concept in the text that requires a brief explanation. A key to understanding the t test is to recall an essential component of a Z test; namely, that a Z test is used when the population variance is known. Also, the shape of the population distribution follows a normal, symetrical curve where the left and right side of the curve are the same. Likewise, the Z tables provide exact percentages of the curve for each Z score. Unlike a Z test that is used when the population variance is known, the t test is used when the population variance is unknown. In a t test, the population variance must be estimated...
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...efficient causes for high marks amongst the 705 students in BSB123. The variables are gender, whether the student is studying a double or single degree, quiz, report and exam results. The scope of the report is the population of university students studying BSB123, which will be examined. 2.0 – Outliers (Refer to the appendix) An outlier is an extreme value that differs greatly from other values that does not follow the overall data pattern. Outliers are beneficial when analysing data, as it helps gather additional information, displays trends and patterns and helps define the scope of the population being investigated. In the provided data, there were no outliers found. Figure 13.0 displays a minimum Z-score of -1.8970567 and a maximum of 2.459087745, meaning no z-scores fell outside the range. This shows that the chosen population is more controlled, less susceptible to variation and that exceptional cases do not vary the data results. 3.0 – Distribution of Exam Results This section of the report will investigate the performance of the students in regards to the final examination. Figure 1.0 – Histogram based on the distribution of the Exam Results amongst the students Figure 2.0 – Histogram based on the distribution of the Exam Results amongst the students The shape of the graph is right-skewed with a...
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...the organization for the achievement of organizational goals. But choosing the strategy for motivation may differ from time to time and organization to organization, because it is a psychological phenomenon and it is depending on the preference of employees. Therefore the present study is made to find out the motivational factors with the samples of 676 respondents from 55 public and private sector organizations in Sri Lanka. The finding of the study is that the perceived level of motivation of the employees in both the sectors is high. As the factors influencing motivation, wages and salaries, physical working conditions, job descriptions, dependency, friendly working atmosphere, interpersonal relationships, prestige and work assignment, incentives and bonus, work facilities, security, power, challenging and advancement and personal growth are most important factors. Moreover, lower level employees in both the sectors give more important to lower level needs while middle and higher level employees emphasize higher level needs. Keywords: Motivation, Economic needs, Social needs,...
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...Investment Valuation Assignment On Altman’s Z-Score Submitted By: A Sreekanth Vidyasagar Garvit Sharma A Dixit Altman Z-score The Z-score formula for predicting bankruptcy was published in 1968 by Edward I. Altman, who was, at the time, an Assistant Professor of Finance at New York University. The formula may be used to predict the probability that a firm will go into bankruptcy within two years. Z-scores are used to predict corporate defaults and an easy-to-calculate control measure for the financial distress status of companies in academic studies. The Z-score uses multiple corporate income and balance sheet values to measure the financial health of a company. Z score bankruptcy model: Z = 1.2X1 + 1.4X2 + 3.3X3 + 0.6X4 + .999X5 Explanation X1: The Working Capital/Total Assets (WC/TA) ratio is a measure of the net liquid assets of the firm relative to the total capitalization. Working capital is defined as the difference between current assets and current liabilities. Ordinarily, a firm experiencing consistent operating losses will have shrinking current assets in relation to total assets. Altman found this one proved to be the most valuable liquidity ratio comparing with the current ratio and the quick ratio. This is however the least significant of the five factors....
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...Assignment 1 Rizki Sirois 103422978 1) Deming, Juran and Feigenbaum all agree the importance of quality management. Though all have different guidelines to achieving such quality levels, we can accept that all three have agreed on a particular aspect. Deming believed that management of system for improving quality lies in the management section. To strive for the top quality, management must take action to find opportunities for quality improvement. This can relate to Juran's philosophy which focuses on: planning, control, and improvement. Management must plan the proper methods to identify external customers and their needs. Control is used in the operating forces to make sure the product/service meets the requirement and improvement is managed by using statistical method of past and present projects. Feigenbaum expresses how quality technology is found by using statistical and/or engineering methods. To summarize this, all three agree that in striving for world-class quality, management is a key player in maintaining and achieving quality improvement and to do so, management must use past and present projects to learn from data by implementing statistical and/or engineering methods in order to achieve quality transformation within an organization. 2) 1-10. Quality planning "is a strategic activity which is vital to an organization's long term business success as the product develpment plan, the financial plan, the marketing plan, and plans for the utilization of...
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