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    Descriptive Statistics

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    Descriptive Statistics Calculation

    Must show all work leading to answers- Can you please show all detailed work leading to the answer? MAT 142 Problem set Unit: Statistics Topic: Organizing and Visualizing Data Directions: Solve the following problems. Please show your work, and explain your reasoning. Consider the set of test scores shown below 88, 8

    Project 3 Google Stock Closing Prices

    PROJECT 3 INSTRUCTIONS Based on Larson & Farber: sections 5.2-5.3 Go to this website. First, set the date range to be for exactly 1 year ending with the Monday that this course started. For example, if the current term started on 04/01/2014, then use 04/01/2013 - 03/31/2014. Your dates will going back exactly 1 year. Nex

    Forecasts Calculations

    Question 4 A rendering plant wishes to use the data (sales records from a few local businesses and the month of the year) to help determine their supply level for the coming months. The records shown in the table provide an excellent opportunity for you to assist them with their forecasting. Which answer below? Month Sales

    Coefficients for Both Simple and Multiple Regressions

    See the attached file. 1. A professor wants to test if the number of sunny days in the week before an exam has an influence on student grades .A sample of 20 is taken and the following regression equation is obtained. Y = 80 - .5X S b1 = .1 a) Test at a=.05 b) Interpret R2 2. Given the following regression

    Graphical & Tabular Descriptive Summaries

    Using the attached excel file, identify and discuss what makes a Crusty Pizza Company restaurant successful and conversely unsuccessful. Use the data for the 60 stores in worksheet "Case 1 and 2 data". Use graphical and tabular descriptive statistics. Plan the analysis by using a combination of summaries that best allow you to

    Frequency Distribution with Skewed Data

    1. Identify three uses for a frequency distribution. Please provide realistic health related examples. 2. Briefly identify the differences between a normal, positive and negative skew. How does this skew or distribution curve relate to standard error? What does the standard error mean for the results? Feel free to use and exa

    Assumptions, Calculations, and Confidence Interval for Means

    Your manager is asking for the average viscosity of a product that you produce in a batch process. Recorded below are the 12 most recent values, taken from consecutive batches. State any assumptions, and clearly show the calculations that are required to estimate a 95% confidence interval for the mean. Interpret that confidence

    Descriptive Statistics, Reliability and Validity

    1. Reliability vs. Validity. Considering your area of research interest, discuss the importance of reliability and validity. Can you have one without the other? Why or why not? 2. Sample vs. Population. Considering your area of research interest, describe the difference between a sample and population. Why is it important to un

    Statistics

    1. The frequency distribution below was constructed from data collected on the quarts of soft drinks consumed per week by 20 students. Quarts of Soft Drink Frequency 0 - 3 4 4 - 7 5 8 - 11 6 12 - 15 3 16 - 19 2 a. Construct a relative frequency distribution. b. Construct a cumulative frequ

    T-Statistics: Standard Errors

    W. Bowen and T. Finegan (1965) published a paper titled "Labor Force Participation and Unemployment." In that paper they estimated the following regression using a data set of 78 cities: i = 94.2 - .24Ui + .2Ei -.69Ii - .06Si + .002Ci - .8Di (.08) (.06) (.16) (.18) (.03) (.43) The standard errors for the OLS coefficient

    Regression Analysis - Statistics and Minitab

    Management of a soft-drink bottling company wishes to develop a method for allocating delivery costs to customers. Although part of total cost clearly relates to travel time within a particular outlet, another variable reflects the time required to unload the cases of soft drink at the delivery point. A sample of 20 customers wa

    Finding 98% and 99% Confidence Intervals

    1. What is the 99% confidence interval for the variance of exam scores for 25 algebra students, if the standard deviation of their last exam was 10.7? 2. In a sample of 60 mice, a biologist found that 42% were able to run a maze in 30 seconds or less. find the 98% limit for the population proportion of mice who can run that m

    Probability, confidence interval, analysis sample questions

    The area under the normal curve between z=1 and z=2 is ________________ the area under the normal curve between z=2 and z=3. A. Greater than B. Less than C. Equal to D. A, B or C above dependent on the value of the mean E. A, B or C above dependent on the value of the standard deviation Essay Type Questions Please s

    Solving 30 Questions on Descriptive Statistics

    Answer all 30 questions. Make sure your answers are as complete as possible. Show all of your work and reasoning. In particular, when there are calculations involved, you must show how you come up with your answers with critical work and/or necessary tables. Answers that come straight from programs or software packages will not

    Computing Probability Using Poisson Model and Classical Model

    7. A call center receives about 4 calls every minute during peak time. (a) What is the probability that the call center will receive 3 or more calls during a peak minute? (b) If peak time spans 15 minutes, what is the probability that 50 calls will be received during this time period? 8. Six cards are chosen without replac

    Stets on solving some questions on descriptive statistics

    1) Calculate arithmetic mean of:  a. Wages: 75, 100, 120, 150, 200 Total b. Workers: 5, 12, 20, 14, 9 60 2) Calculate the median age:  a. Age Years (Less than): 10, 20, 30, 40, 50, 60, 70, 80 b. No. of persons: 4, 16, 40, 76, 96, 112, 120, 125 3) Calculate Spearman's Rank Correlation:  a. Trainees: A, B, C, D, E, F

    SPSS Analysis of Data

    The Stat_Grades.sav dataset contains data collected about statistics students in three sections of a statistics class taught by an instructor. I attached specific research questions for the analysis along with the dataset. A solution would assist me in understanding descriptive statistics better.

    Independent T-test and SPSS Data Interpretation

    Please review and answer the following questions with short explanations for answers. Review the SPSS output file which reports the results of the independent t-test to compare the mean price per 6-pack for regular vs. reduced calorie brands of wheat beer. Answer the following questions based on your observations of the SPSS

    stats help

    28) police response time to an emergency call is the difference between the time the call is first received by the dispatcher and the time a patrol car radios that it has arrived at the scene. Over a long period of time, it has been determined that the response time has a normal distribution with a mean of 8.4 minutes and a stan

    Statistics: Testing Hypotheses

    The attached file contains the yield for a money market account, a one-year certificate of deposit (CD), and a five-year CD for 23 banks. a) At the 0.05 level of significance, is there evidence of a difference in the mean yield of the different accounts? b) If appropriate, determine which accounts differ in mean yields. c)

    SPSS

    A) SPSS and Data Summary: From the dataset attach, select any two quantitative variables. What is the name of your two quantitative variables you will be analyzing? Use SPSS to compute summary (descriptive) statistics, including measures of central tendency mean, median, mode and numerical measures variance and standard devia

    When the Mode is Better Than the Mean

    1) When is "mode" the better measure? Think about what you have learned and how you can relate it to your profession, your daily life, or a realistic hypothetical situation. 2) Then, create (invent) a realistic small dataset that can be best described by mode and poorly described by mean. 3) List the dataset. 4)

    Descriptive Statistics - Financial

    • Warren Buffett is the Chairman and CEO of Berkshire Hathaway. Even though the firm has approximately 200,000 employees, Mr. Buffett has a staff of under twenty at the Omaha corporate headquarters. Do you believe that more companies should be run in this matter? Why or why not? • Additionally, Warren Buffett typically do

    Finding Critical Value for Z Using Excel Function

    For each of the following situations, find the critical value for Z. a)    H0: P = 0.05 vs. HA: P > 0.05 at α = 0.05. b)   H0: P = 0.6 vs. HA: P ≠ 0.6 at α = 0.01. c)    H0: P = 0.5 vs. HA: P < 0.5 at α = 0.01; n = 500. d)   H0: P = 0.2 vs. HA: P < 0.2 at α = 0.01.

    Forecasting

    Time Period Actual Number of Units Sold 1 33 2 36 3 32 4 35 5 33 6 36 7 34 8 38 9 37 10 36 11 38 12 38 13 37 14 39 15 35 16 38 17 37 18 39 19 37 20 35 21 37 22 34 23 35 24 36 1. Based upon using mean absolute deviation (MAD) as a measure of forecast accuracy, which of the forecast models would be the p

    Conducting simple regression and interpretating the results

    //See attached for formatted version// 1.The marketing manager of a large supermarket chain would like to use shelf space to predict the sales of pet food. A random sample of 12 equalized stores is selected, with the following results. Store Shelf Space(X) Weekly sales(Y) 1 5 160 2 5 220 3 5 140 4 10 190 5 10 240 6 1

    Height of Students - Distributions & Deviations Report

    20 students' heights were measured for statistic analysis, with the following results: female 5'6, female 5'8, male 5'9, male 5'6, female 5'7, female 5'5, female 5'6, male 5'10, male 5'8, female 5'4, female 5'4, male 5'9, female 5'1, female 5'5, male 5'11, male 5'7, female 5'6, female 5'8, male 6'1. male 5'9 Please return

    Confidence Interval & Sample Size Calculated Step by Step

    1. If X bar = 85, σ = 8, and n = 64, construct a 95% confidence interval estimate for the population mean, µ. Show work! That is draw the a) normal curve, b) put in the given information(mean and standard deviation), c) identify the area to be solved, d) show the Z conversion of the X values, e) use the Standardized normal T

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