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First Midterm Study Guide

by: Brittany Temple

First Midterm Study Guide MA 2113

Marketplace > Mississippi State University > Math > MA 2113 > First Midterm Study Guide
Brittany Temple
GPA 3.45

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About this Document

This is the outline and definitions, as well as examples, to the first mideterm.
Intro to Statistics
Johnathan Eaton
Study Guide
intro to statistics, Statistics, Math
50 ?




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This 2 page Study Guide was uploaded by Brittany Temple on Sunday September 11, 2016. The Study Guide belongs to MA 2113 at Mississippi State University taught by Johnathan Eaton in Fall 2016. Since its upload, it has received 11 views. For similar materials see Intro to Statistics in Math at Mississippi State University.


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Date Created: 09/11/16
Test One Study Guide There are both multiple choice and fill-in-the-blank questions on the test  Descriptive-consists of methods for organizing and summarizing information. Ex: During one season, John kept track of all batting records for his favorite baseball team. At the end of the season, John used this information to create a table listing each player along with his average batting records.  Inferential-consists of methods for drawing and measuring the reliability of conclusions about a population based on information obtained from a sample or population. Ex: Using a sample of 500 MSU students, it was concluded that 43% of the students at MSU regularly sneek food into movie theatres to avoid paying a higher price at the concession stand.  Population-the collection of all individuals or items under consideration in a statistical study (always the biggest number)  Sample- the part of the population from which information is obtained (always the smallest number)  Systematic Random Sample. Ex: For a survey regarding what new restaurant should be added to the Union, we stood outside the doors and interviewed every 9 person.  Stratified Sampling. Ex: The senior class at a large university has 4600 women and 5400 men. We are going to conduct a survey about opinions regarding bike usage on campus. We randomly selected 500 students, 230 women and 270 men, to participate.  Cluster Sampling. Ex: To investigate the climate in the classrooms of MSU, we randomly selected 6 buildings on campus and interviewed all students who attend classes in those buildings.  Qualitative variable- A nonnumeric valued variable. Ex: Favorite Resturant  Quantitative variable- A numerically valued variable. Ex: Your college GPA  Discrete data. Ex: Number of employees at a small company  Continuous Data. Ex: Time it takes to finish a race  Limit Grouping and Cutpoint grouping: Lower Class Limit: smallest value that could go in a class, Upper Class Limit: highest value that could go in a class.  Frequency is normally a whole number  Relative Frequency is normally a decimal number, to find the relative frequency divide (Frequency/ Total of Frequency)  Mean- Sum of the observations divided by the number of observations. Ex: 200, 300. The mean is 250.  Median- after you arrange the numbers in order from smallest to largest the number in the middle is the median. Ex: 200, 300,400,500. The median is 350.  Mode- the number that is valued the most. Ex: 300, 400, 400, 500. The mode is 400  Range- Maximum number minus the Minimum number.  Five Number Summary includes the Min, q1, q2, q3, max.  IQR- difference between the first and the third quartiles.  Lower limit- q1-1.5 multiplied by IQR.  Upper limit- q3+ 1.5 multiplied by IQR.


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