Pre-Calculus Multiple Choice Questions - Chapter S2

Similar documents
Measures of Dispersion

CHAPTER 3: Data Description

Chapter 3 - Displaying and Summarizing Quantitative Data

STA 570 Spring Lecture 5 Tuesday, Feb 1

Center, Shape, & Spread Center, shape, and spread are all words that describe what a particular graph looks like.

Numerical Descriptive Measures

Chapter 6: Comparing Two Means Section 6.1: Comparing Two Groups Quantitative Response

Stat 428 Autumn 2006 Homework 2 Solutions

MATH& 146 Lesson 10. Section 1.6 Graphing Numerical Data

Math 120 Introduction to Statistics Mr. Toner s Lecture Notes 3.1 Measures of Central Tendency

Vocabulary. 5-number summary Rule. Area principle. Bar chart. Boxplot. Categorical data condition. Categorical variable.

Boxplots. Lecture 17 Section Robb T. Koether. Hampden-Sydney College. Wed, Feb 10, 2010

Univariate Statistics Summary

Chapter 3. Descriptive Measures. Slide 3-2. Copyright 2012, 2008, 2005 Pearson Education, Inc.

Lecture Notes 3: Data summarization

Chapter 2 Describing, Exploring, and Comparing Data

AP Statistics Prerequisite Packet

Exploratory Data Analysis

AP Statistics Summer Assignment:

Ch 1 : Descriptive Statistics

Univariate descriptives

Further Maths Notes. Common Mistakes. Read the bold words in the exam! Always check data entry. Write equations in terms of variables

UNIT 1A EXPLORING UNIVARIATE DATA

3.3 The Five-Number Summary Boxplots

STP 226 ELEMENTARY STATISTICS NOTES PART 2 - DESCRIPTIVE STATISTICS CHAPTER 3 DESCRIPTIVE MEASURES

Chpt 3. Data Description. 3-2 Measures of Central Tendency /40

Averages and Variation

Name: Stat 300: Intro to Probability & Statistics Textbook: Introduction to Statistical Investigations

15 Wyner Statistics Fall 2013

Math 167 Pre-Statistics. Chapter 4 Summarizing Data Numerically Section 3 Boxplots

Learning Log Title: CHAPTER 7: PROPORTIONS AND PERCENTS. Date: Lesson: Chapter 7: Proportions and Percents

Lecture 6: Chapter 6 Summary

Chapter 5. Understanding and Comparing Distributions. Copyright 2012, 2008, 2005 Pearson Education, Inc.

CHAPTER-13. Mining Class Comparisons: Discrimination between DifferentClasses: 13.4 Class Description: Presentation of Both Characterization and

Chapter 3: Data Description - Part 3. Homework: Exercises 1-21 odd, odd, odd, 107, 109, 118, 119, 120, odd

4.2 Data Distributions

Section 9: One Variable Statistics

Section 5.2: BUY OR SELL A CAR OBJECTIVES

Acquisition Description Exploration Examination Understanding what data is collected. Characterizing properties of data.

Chapter 1. Looking at Data-Distribution

Probability and Statistics. Copyright Cengage Learning. All rights reserved.

Section 1.2. Displaying Quantitative Data with Graphs. Mrs. Daniel AP Stats 8/22/2013. Dotplots. How to Make a Dotplot. Mrs. Daniel AP Statistics

Chapter 2 Modeling Distributions of Data

Ex.1 constructing tables. a) find the joint relative frequency of males who have a bachelors degree.

Chapter 6: DESCRIPTIVE STATISTICS

Chapter 5: The standard deviation as a ruler and the normal model p131

Teaching univariate measures of location-using loss functions

Getting to Know Your Data

Chapter 2: Descriptive Statistics

CHAPTER 2: SAMPLING AND DATA

Visualizing univariate data 1

2.1: Frequency Distributions and Their Graphs

Descriptive Statistics

Measures of Position

Prepare a stem-and-leaf graph for the following data. In your final display, you should arrange the leaves for each stem in increasing order.

STA Module 2B Organizing Data and Comparing Distributions (Part II)

STA Learning Objectives. Learning Objectives (cont.) Module 2B Organizing Data and Comparing Distributions (Part II)

Week 4: Describing data and estimation

Chapter2 Description of samples and populations. 2.1 Introduction.

Chapter 2. Descriptive Statistics: Organizing, Displaying and Summarizing Data

Data Preprocessing. S1 Teknik Informatika Fakultas Teknologi Informasi Universitas Kristen Maranatha

Chapter 3 Analyzing Normal Quantitative Data

Chapter 5. Understanding and Comparing Distributions. Copyright 2010, 2007, 2004 Pearson Education, Inc.

Table of Contents (As covered from textbook)

Unit 7 Statistics. AFM Mrs. Valentine. 7.1 Samples and Surveys

10.4 Measures of Central Tendency and Variation

10.4 Measures of Central Tendency and Variation

More Numerical and Graphical Summaries using Percentiles. David Gerard

The main issue is that the mean and standard deviations are not accurate and should not be used in the analysis. Then what statistics should we use?

Date Lesson TOPIC HOMEWORK. Displaying Data WS 6.1. Measures of Central Tendency WS 6.2. Common Distributions WS 6.6. Outliers WS 6.

DAY 52 BOX-AND-WHISKER

1.3 Graphical Summaries of Data

CHAPTER 2 DESCRIPTIVE STATISTICS

Name Geometry Intro to Stats. Find the mean, median, and mode of the data set. 1. 1,6,3,9,6,8,4,4,4. Mean = Median = Mode = 2.

Lecture 3: Chapter 3

Section 6.3: Measures of Position

No. of blue jelly beans No. of bags

Measures of Central Tendency

TMTH 3360 NOTES ON COMMON GRAPHS AND CHARTS

Statistics Lecture 6. Looking at data one variable

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

MATH11400 Statistics Homepage

STA Rev. F Learning Objectives. Learning Objectives (Cont.) Module 3 Descriptive Measures

WELCOME! Lecture 3 Thommy Perlinger

CHAPTER 2: DESCRIPTIVE STATISTICS Lecture Notes for Introductory Statistics 1. Daphne Skipper, Augusta University (2016)

MATH NATION SECTION 9 H.M.H. RESOURCES

Learner Expectations UNIT 1: GRAPICAL AND NUMERIC REPRESENTATIONS OF DATA. Sept. Fathom Lab: Distributions and Best Methods of Display

Measures of Central Tendency. A measure of central tendency is a value used to represent the typical or average value in a data set.

CHAPTER 1. Introduction. Statistics: Statistics is the science of collecting, organizing, analyzing, presenting and interpreting data.

To calculate the arithmetic mean, sum all the values and divide by n (equivalently, multiple 1/n): 1 n. = 29 years.

A. Incorrect! This would be the negative of the range. B. Correct! The range is the maximum data value minus the minimum data value.

050 0 N 03 BECABCDDDBDBCDBDBCDADDBACACBCCBAACEDEDBACBECCDDCEA

A Modified Approach for Detection of Outliers

Math 214 Introductory Statistics Summer Class Notes Sections 3.2, : 1-21 odd 3.3: 7-13, Measures of Central Tendency

NAME: DIRECTIONS FOR THE ROUGH DRAFT OF THE BOX-AND WHISKER PLOT

UNIVERSITY OF BAHRAIN COLLEGE OF APPLIED STUDIES STATA231 LAB 4. Creating A boxplot Or whisker diagram

How individual data points are positioned within a data set.

STA Module 4 The Normal Distribution

STA /25/12. Module 4 The Normal Distribution. Learning Objectives. Let s Look at Some Examples of Normal Curves

Measures of Central Tendency:

Transcription:

1 Which of the following is NOT part of a univariate EDA? a Shape b Center c Dispersion d Distribution Pre-Calculus Multiple Choice Questions - Chapter S2 2 Which of the following is NOT an acceptable shape description? a Normally-distributed b Uniformally-distributed c Skewed d Bimodal 3 Which of the following is NOT an acceptable measure of dispersion for a univariate EDA? a Range b IQR c Standard Deviation d All are acceptable measures S2.1 S2.1 S2.1 Updated July 3, 2015 Boyceville High School, Mr. Hamm Page 1 of 9

1 Describe the shape of a distribution of the following data 12, 12, 12, 12, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 14, 15, 17, 18, 18, 20 a Left-Skewed b Right Skewed 1 Describe the shape of a distribution of the following data 11, 11, 12, 12, 13, 14, 13, 12, 11, 11 a Left-Skewed b Right Skewed 1 Describe the shape of a distribution of the following data 15, 16, 17, 16, 16, 14, 15, 15, 15, 16, 16, 17, 17 a Left-Skewed b Right Skewed S2.2 S2.2 S2.2 Updated July 3, 2015 Boyceville High School, Mr. Hamm Page 2 of 9

1 All of the following are measures of the center of a distribution EXCEPT a IQR b Mean c Median d Q2 2 Calculate the mean of the following set of numbers a 27 b 25.6 c 27.5 d 28 3 Calculate the median of the following set of numbers a 27 b 25.6 c 27.5 d 28 1 Calculate the mean of the following set of data 32, 29, 12, 21, 19, 10, 26, 22, 35, 10, 33, 28, 21, 26, 23, 26, 33, 28, 14, 19, 32 a 59.4 b 26 c 7.71 d 23.76 2 Calculate the median of the following set of data 32, 29, 12, 21, 19, 10, 26, 22, 35, 10, 33, 28, 21, 26, 23, 26, 33, 28, 14, 19, 32 a 59.4 b 26 c 7.71 d 23.76 Updated July 3, 2015 Boyceville High School, Mr. Hamm Page 3 of 9

1 Calculate the range of the following set of numbers a 40 b 203.38 c 14.26 d 21.25 2 Calculate the IQR of the following set of numbers a 40 b 203.38 c 14.26 d 21.25 3 Calculate the Standard Deviation of the following set of numbers a 40 b 203.38 c 14.26 d 21.25 S2.4 S2.4 S2.4 Updated July 3, 2015 Boyceville High School, Mr. Hamm Page 4 of 9

1 Outliers are defined as individuals that are away from Q1 and Q3 a 1.5 times b 2 times c 1.5 plus d 2 plus 2 Outliers should be removed from a sample a Never b Sometimes c Always d Depends on the situation 3 Which individuals are outliers in the following data set 14, 17, 20, 17, 18, 19, 11, 18, 17, 17 a 11, 14 b 11 only c 20 only d 11, 20 S2.5 S2.5 S2.5 Updated July 3, 2015 Boyceville High School, Mr. Hamm Page 5 of 9

1 Consider a data set of positive values, at least two of which are not equal. Which of the following sample statistics will be changed when each value in the data set is multiplied by a constant whose absolute value is greater than 1? I. The mean II. The median III. The standard deviation a I only b II only c III only d I and II only e I, II, and III 2 Determine what technique should be used to measure the center of the data below 24, 27, 28, 27, 30, 20, 30, 24, 27, 21, 20, 24, 23, 27, 26, 29, 20, 22, 30, 30, 28 a Mean b Median c Mode d Q3 3 Determine what technique should be used to measure the dispersion of the data below 24, 27, 28, 27, 30, 20, 30, 24, 27, 21, 20, 24, 23, 27, 26, 29, 20, 22, 30, 30, 28 a Range b Variance c IQR d Standard Deviation S2.6 S2.6 S2.6 Updated July 3, 2015 Boyceville High School, Mr. Hamm Page 6 of 9

2 Compute the variance for the following set of data 20, 21, 24, 24, 26, 27 a 1.89 b 2.73 c 7.47 d 9.21 3 Compute the standard deviation for the following set of data 20, 21, 24, 24, 26, 27 a 1.89 b 2.73 c 7.47 d 9.21 3 Calculate the standard deviation of the following set of data 32, 29, 12, 21, 19, 10, 26, 22, 35, 10, 33, 28, 21, 26, 23, 26, 33, 28, 14, 19, 32 a 59.4 b 26 c 7.71 d 23.76 S2.7 S2.7 S2.7 Updated July 3, 2015 Boyceville High School, Mr. Hamm Page 7 of 9

1 Determine the median of the data represented in the boxplot below S2.8 a 22 b 30 c 34 d 12 2 Determine the IQR of the data represented in the boxplot below S2.8 a 22 b 30 c 34 d 12 3 Determine the shape of the data represented in the boxplot below S2.8 a Left-Skewed b Right-Skewed Updated July 3, 2015 Boyceville High School, Mr. Hamm Page 8 of 9

1 Determine the shape of the data represented in the frequency table below Data Frequency 10 10 11 5 12 4 13 2 14 1 a Left-Skewed b Right-Skewed S2.9 2 Determine the median of the data represented in the frequency table below Data Frequency 10 10 11 5 12 4 13 2 14 1 a 10 b 10.40 c 10.90 d 11 S2.9 3 Determine the mean of the data represented in the frequency table below Data Frequency 10 10 11 5 12 4 13 2 14 1 a 10 b 10.40 c 10.90 d 11 S2.9 Updated July 3, 2015 Boyceville High School, Mr. Hamm Page 9 of 9