level‚ credit balance and location that they live. Descriptive statistics: Income ($1000)‚ Size (household)‚ Years‚ Credit Balance ($) Variable n Mean Median Mode Variance STDEV Range Q1 Minimum Q3 Maximum Income ($1000) 50 46.02 44.5 No unique 192.75469 13.883612 49 33 25
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* Descriptive Statistics * What they are (Some examples) * Frequency Distributions * Central Tendency * Mean: Average * Median: Middle Number * Mode: Number that most comes up (rarely used in behavior statistics) * Graphs * Pie Charts * Bar Graphs‚ etc. * What they’re used for * Descriptive statistics aim to summarize a sample‚ rather than use the data to learn about the population that
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Statistics – Lab Week 2 Name:Michael Jacks Math221 Statistical Concepts: * Using MINITAB * Graphics * Shapes of Distributions * Descriptive Statistics * Empirical Rule Data in MINITAB * MINITAB is a powerful‚ yet user-friendly‚ data analysis software package. You can launch MINITAB by finding the icon and double clicking on it. After a moment you will see two windows‚ the Session Window in the top half of the screen and the Worksheet or Data Window in the bottom
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Elementary Statistics iLab Week 6 Statistical Concepts: * Data Simulation * Discrete Probability Distribution * Confidence Intervals Calculations for a set of variables Mean Median 3.2 3.5 4.5 5.0 3.7 4.0 3.7 3.0 3.1 3.5 3.6 3.5 3.1 3.0 3.6 3.0 3.8 4.0 2.6 2.0 4.3 4.0 3.5 3.5 3.3 3.5 4.1 4.5 4.2 5.0 2.9 2.5 3.5 4.0 3.7 3.5 3.5 3.0 3.3 4.0 Calculating Descriptive Statistics Descriptive Statistics: Mean‚ Median Variable N N* Mean SE Mean StDev
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PROJECT PART B: Hypothesis Testing and Confidence Intervals Math 533 Applied managerial Statistics. Instructor: Mr. Patrick Mayers. April 12‚ 2015 Guillermo H. Quintela. a. The average (mean) sales per week exceeds 41.5 per salesperson. The Null Hypothesis: The average (mean) sales per week is greater than or equal to 41.5 per salesperson. Ho:µ >= 41.5 The alternate Hypothesis: The average (mean) sales per week is less than or equal than 41.5 per salesperson. Ha:µ < 41.5 For a significance
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the customers of AJ DAVIS. The first variable considered is Location‚ a categorical variable. The three subcategories are Urban‚ Suburban and Rural. The frequency distribution and pie chart are included. Measures of central tendency and descriptive statistics are not calculated due to the categorical nature of the variable. Frequency Distribution: LOCATION | FREQUENCY | Urban | 22 | Suburban | 15 | Rural | 13 | The largest number of customers belong to the Urban Location category
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RESEARCH METHODS FOR POSTGRADUATE STUDY NV4602 Data Analysis: Exploring Relationships Ethical Use of Data Descriptive Statistics Last session review Descriptive Statistics “The sample consisted of 300 company employees (52% male‚ 48% female)‚ ranging in age from 21 to 52 years (mean = 30 years‚ standard deviation = 5 years).” (H.L.‚ 2013‚ p.24) lbic.navitas.com navitas.com Descriptive Statistics “The sample consisted of 300 company employees (52% male‚ 48% female)‚ ranging in age from 21 to 52 years
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class survey results that were entered into the MINITAB worksheet. We want to calculate the mean for the 10 rolls of the die for each student in the class. Label the column next to die10 in the Worksheet with the word mean. Pull up Calc > Row Statistics and select the radio-button corresponding to Mean. For Input variables: enter all 10 rows of the die data. Go to the Store result in: and select the mean column. Click OK and the mean for each observation will show up in the Worksheet. We also
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ASSIGNMENT SUBMISSION FORM Course Name: SMMD Assignment Title: Assignment 1 (HousePrices.jmp) Submitted by: Garima Agrawal (Section D) (Student name or group name) Group Member Name | PG ID | Garima Agrawal | 61410506 | Question1: The data for home values has a considerable wide range (429578) as compared to the inter-quartile range (93522). This means the data has a huge spread and the same can be verified from coefficient of variation which is even more than 41%. Besides
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QUESTION 3 (20 MARKS) a. A psychological test identifies people as being one of eight types. For instance‚ Type 1 is “Rationalist” and applies to 15% of men 8 % of women. Type 2 is “Teacher” and applies to 12% of men and 14% of women. Each person fits one and only one type. (i) Suppose college roommates have a particularly hard time getting along with each other if they are both ‘ Rationalist’. A college randomly assigns roommates of the same gender. Assuming that half of college roomate pairs
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