Why is the term (n-1) used in the denominator of the formula for sample variance? (A) There are (n-1) observations. (B) There are (n-1) uncorrelated pieces.

Slides:



Advertisements
Similar presentations
Describing Quantitative Variables
Advertisements

Chapter 2 Exploring Data with Graphs and Numerical Summaries
UNIT 8: Statistical Measures
Chapter 12: Testing hypotheses about single means (z and t) Example: Suppose you have the hypothesis that UW undergrads have higher than the average IQ.
Percentiles and the Normal Curve
9.1 confidence interval for the population mean when the population standard deviation is known
The Standard Deviation as a Ruler and the Normal Model.
Chapter 6: The Standard Deviation as a Ruler and the Normal Model
SECTION 3.3 MEASURES OF POSITION Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display.
Standard Normal Table Area Under the Curve
Descriptive Statistics: Numerical Measures
2-5 : Normal Distribution
PSY 307 – Statistics for the Behavioral Sciences
Slides by JOHN LOUCKS St. Edward’s University.
B a c kn e x t h o m e Classification of Variables Discrete Numerical Variable A variable that produces a response that comes from a counting process.
1.2: Describing Distributions
Sampling Distributions
Stat 2411 Statistical Methods Chapter 4. Measure of Variation.
Multiple Choice Review
Statistical Jeopardy Topic 1Topic 2Topic 3Topic 4Topic 5Topic 6Topic
Describing distributions with numbers
Objectives 1.2 Describing distributions with numbers
Descriptive Statistics
STAT E100 Section Week 6 – Exam Review. Review - Take the practice exam like you would take any test, be strict on yourself! Timing can be a big factor.
Active Learning Lecture Slides For use with Classroom Response Systems Exploring Data with Graphs and Numerical Summaries.
1 1 Slide © 2009 Thomson South-Western. All Rights Reserved Slides by JOHN LOUCKS St. Edward’s University.
Looking at Data - Distributions Density Curves and Normal Distributions IPS Chapter 1.3 © 2009 W.H. Freeman and Company.
6 Chapter Confidence Intervals © 2012 Pearson Education, Inc.
Copyright © 2013, 2009, and 2007, Pearson Education, Inc. 1 PROBABILITIES FOR CONTINUOUS RANDOM VARIABLES THE NORMAL DISTRIBUTION CHAPTER 8_B.
5.1 What is Normal? LEARNING GOAL Understand what is meant by a normal distribution and be able to identify situations in which a normal distribution is.
UNIT 8:Statistical Measures Measures of Central Tendency: numbers that represent the middle of the data Mean ( x ): Arithmetic average Median: Middle of.
Copyright © 2010 Pearson Education, Inc. Chapter 6 The Standard Deviation as a Ruler and the Normal Model.
NOTES The Normal Distribution. In earlier courses, you have explored data in the following ways: By plotting data (histogram, stemplot, bar graph, etc.)
Descriptive Statistics Measures of Variation. Essentials: Measures of Variation (Variation – a must for statistical analysis.) Know the types of measures.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Chapter 6 The Standard Deviation as a Ruler and the Normal Model.
Chapter 2 Describing Data.
Measures of Position & Exploratory Data Analysis
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Chapter 6 The Standard Deviation as a Ruler and the Normal Model.
Describing distributions with numbers
Skewness & Kurtosis: Reference
Copyright © 2013, 2009, and 2007, Pearson Education, Inc. Chapter 6 Probability Distributions Section 6.2 Probabilities for Bell-Shaped Distributions.
The Standard Deviation as a Ruler and the Normal Model
Summary Five numbers summary, percentiles, mean Box plot, modified box plot Robust statistic – mean, median, trimmed mean outlier Measures of variability.
Larson/Farber Ch 2 1 Elementary Statistics Larson Farber 2 Descriptive Statistics.
Dr. Serhat Eren 1 CHAPTER 6 NUMERICAL DESCRIPTORS OF DATA.
Distributions of the Sample Mean
Chapter 7 Sampling Distributions Statistics for Business (Env) 1.
Multiple Choice Review Chapters 5 and 6. 1) The heights of adult women are approximately normally distributed about a mean of 65 inches, with a standard.
Thursday August 29, 2013 The Z Transformation. Today: Z-Scores First--Upper and lower real limits: Boundaries of intervals for scores that are represented.
Chapter 3 Data Description Section 3-3 Measures of Variation.
Chapter 2 Descriptive Statistics Section 2.3 Measures of Variation Figure 2.31 Repair Times for Personal Computers at Two Service Centers  Figure 2.31.
IPS Chapter 1 © 2012 W.H. Freeman and Company  1.1: Displaying distributions with graphs  1.2: Describing distributions with numbers  1.3: Density Curves.
Review BPS chapter 1 Picturing Distributions with Graphs What is Statistics ? Individuals and variables Two types of data: categorical and quantitative.
CONFIDENCE INTERVALS.
Copyright © 2012 Pearson Education, Inc. All rights reserved Chapter 9 Statistics.
Larson/Farber Ch 2 1 Elementary Statistics Larson Farber 2 Descriptive Statistics.
Numerical descriptions of distributions
Psych 230 Psychological Measurement and Statistics Pedro Wolf September 16, 2009.
Stat 2411 Statistical Methods Chapter 4. Measure of Variation.
Lecture 7: Bivariate Statistics. 2 Properties of Standard Deviation Variance is just the square of the S.D. If a constant is added to all scores, it has.
(Unit 6) Formulas and Definitions:. Association. A connection between data values.
Chapter 3 Section 3 Measures of variation. Measures of Variation Example 3 – 18 Suppose we wish to test two experimental brands of outdoor paint to see.
THE NORMAL DISTRIBUTION
The Normal Distributions.  1. Always plot your data ◦ Usually a histogram or stemplot  2. Look for the overall pattern ◦ Shape, center, spread, deviations.
Descriptive Statistics Measures of Variation
z-Scores, the Normal Curve, & Standard Error of the Mean
z-Scores, the Normal Curve, & Standard Error of the Mean
Determine whether each situation calls for a survey, an experiment, or an observational study. Explain your reasoning. You want to find opinions on the.
Below is a density curve. The height of the density curve is
Summary (Week 1) Categorical vs. Quantitative Variables
Presentation transcript:

Why is the term (n-1) used in the denominator of the formula for sample variance? (A) There are (n-1) observations. (B) There are (n-1) uncorrelated pieces of information. (C) The (n-1) term gives the correct answer. (D) There are (n-1) samples from the population. (E) There are (n-1) degrees of freedom. 0025v02

The five-number summary for all student scores on an exam is 29, 42, 70, 75, 79. Suppose 200 students took the test. How many students had scores between 42 and 70? (A) 25 (B) 28 (C) 50 (D) v01

A distribution has many more scores above the mean than below the mean. What can be said about this distribution? (A) The distribution is positively skewed. (B) The distribution is negatively skewed. (C) The distribution is symmetric. (D) Insufficient information given to determine skew. 0041v02

In a certain university there are three types of professors. Their salaries are approximately normally distributed within each of the following types: Assistant Professors make a median salary of $50K, with a minimum of $40K and a maximum of $60K. Associate Professors make a median salary of $65K per year, with minimum of $57K and a maximum of $80K. Full Professors make a median salary of $90K per year, with a minimum of $70K and a maximum of $110K. There are 1600 total Professors at this University, with the following distribution: 50% of all Professors are Assistants, 30% are Associates, and 20% are Fulls. What can we say about the average salary at this university? (A) mean median (D) insufficient Information 0042v02

In a certain law firm there are three types of lawyers: associates, junior partners, and senior partners. The graph represents the monthly salary of each type. Note that the width of each box is proportional to the sample size. What can we say about the average salary of all lawyers at this firm? (A) mean < median (B) mean = median (C) mean > median (D) insufficient information 0043v02

The five-number summary for all student scores on an exam is 40, 60, 70, 75, 79. Suppose 500 students took the test. What should you conclude about the distribution of scores? (A) Skewed to the left. (B) Skewed to the right. (C) Not skewed. (D) Not enough information given to determine skew. 0044v01

Many individuals, after the loss of a job, receive temporary pay – unemployment compensation – until they are re-employed. Consider the distribution of time to re-employment as obtained in an employment survey. One broadcast reporting on the survey said that the average time until re-employment was 4.5 weeks. A second broadcast reported that the average was 9.9 weeks. One of your colleagues wanted a better understanding of the situation and learned (through a Google search) that one report was referring to the mean and the other to the median and also that the standard deviation was about 14 weeks. Knowing that you are a statistically- savvy person, your colleague asked you which is most likely the mean and which is the median? (A) 4.5 is the mean and 9.9 is the median. (B) 4.5 is the median and 9.9 is the mean. (C) Neither (A) nor (B) is possible given the SD of the data. (D) I am not a statistically-savvy person, so how should I know? 0045v02

There are three sections of a calculus class. The first class had a mean exam score of 90 with a variance of 36. The second class had a mean exam score of 60 with a variance of 16. The third class had a mean exam score of 30 with a variance of 4. Considering the differences in performance level, rank the classes in terms of the variation in exam scores? (A) Class 1 < Class 2 < Class 3 (B) Class 1 < Class 3 < Class 2 (C) Class 3 < Class 2 < Class 1 (D) Class 1 = Class 2 = Class 3 (E) none of the above 0046v01

The University of Oklahoma has changed its admission standards to require an ACT-score of 26. We know the ACT is normally distributed with a mean of 21 and an SD of 5. If we sample 100 students who took the ACT at random, how many would be expected to qualify for admission to OU? (A) 5 (B) 16 (C) 25 (D) 42 (E) none of the above 0047v01

The heights of women are normally distributed with a mean of 65 inches and an SD of 2.5 inches. The heights of men are also normal with a mean of 70 inches. What percent of women are taller than a man of average height? (A) 2.5% (B) 5% (C) 10% (D) insufficient information 0048v01

The ACT has a mean of 21 and an SD of 5. The SAT has a mean of 1000 and a SD of 200. Joe Bob Keith took the ACT and he needs a score of 1300 on the SAT to get into UNC- Chapel Hill and a score of 1400 on the SAT to get into Duke. UNC and Duke both told Joe Bob Keith that they will convert the ACT to the SAT using a z-score (or standard-score) transformation. Joe Bob Keith has decided to go to the school with the highest standards that will accept him. If he doesn't qualify for either Duke or UNC, then it's Faber College for Joe Bob Keith. As it turns out, Joe Bob Keith got a 30 on the ACT, but he cannot figure out what that means for his choice of college. Help Joe Bob Keith out. Where is he going to school? (A) UNC (B) Duke (C) Faber 0049v01

Many psychological disorders (e.g. Depression, ADHD) are based on the application of the 2 SD rule assuming a normal distribution of reported symptoms. This means that anyone who reports a symptom count that exceeds the 2 SD point in a normal population can be considered to be “abnormal” or “disordered”. Given this definition of “disorder”, what is expected prevalence rate of these disorders based on the 2 SD rule? (A) 1% (B) 2.5% (C) 5% (D) 10% 0050v01

The following is a graph of the weekly average of the Dow Jones stock index for several weeks. Which of the following is a statement that it is legitimate to make from the graph as it appears? (A) The Dow Jones average varies greatly within the period shown. (B) The Dow Jones average drops greatly within the period shown. (C) The Dow Jones average for the week of August 4 is about five times as much as the average for the week of July 22. (D) The Dow Jones Average for the week of July 15 is almost 800 points higher than the average for the week of July 22. (E) More than one of the above are correct. 0072v01

The astronomer Edwin Hubble measured the distance (in mega- parsecs) to nebulas outside our galaxy in 1929 as well as the recession velocity (in kilometers per second) with which these nebulas were moving away from us (negative velocities indicate they are moving towards us instead of away). Below are two histograms of the distance of 24 nebulas that Hubble measured. What can we legitimately say in comparing the two histograms? (A) The two histograms are based on the same data. (B) The two histograms communicate the same information with equal helpfulness. (C) One histogram is more helpful than the other. (D) One histogram is incorrectly drawn but the other is correct. (E) More than one of the above statements is correct. 0073v01

Consider the two histograms below in making a choice about which of the following statements is true. (A) The histogram on the left is correctly made but the one on the right is not. (B) The histogram on the right is correctly made but the one on the left is not. (C) Both histograms are correctly made but the one on the left communicates more effectively. (D) Both histograms are correctly made but the one on the right communicates more effectively. (E) Both histograms are correctly made and communicate equally well. 0079v01

If a large sample were drawn from a normal distribution and accurately represented the population, which of the following is most likely to be a box plot of that sample? (A) (B) (C) (D) (E) Two from (A)-(D) are correct. (F) Three from (A)-(D) are correct. (G) All from (A)-(D) are correct. 0080v01

The following box plot is for a sample that accurately represents a normal distribution: Which of the following box plots is for a sample that represents a Student’s t-distribution with the same standard deviation and sample size as the normal distribution above? (A) (B) (C) (D) (E) Two from (A)-(D) are correct. (F) Three from (A)-(D) are correct. (G) All from (A)-(D) are correct. 0081v01

If a large sample were drawn from a chi-square (  2 ) distribution (with degrees of freedom  10) and accurately represented the population, which of the following is most likely to be a box plot of that sample? (A) (B) (C) (D) (E) Two from (A)-(D) are correct. (F) Three from (A)-(D) are correct. (G) All from (A)-(D) are correct. 0082v01

Which of the following statements is most completely true in comparing an appropriately drawn histogram to a stem-and-leaf display of the same data? (A) Both convey the same information about the shape of the distribution. (B) Both convey the same information about gaps in the distribution. (C) Both convey the same information about outliers. (D) Both convey the same amount of information generally. (E) Two from (A)-(D) are correct. (F) Three from (A)-(D) are correct. (G) All from (A)-(D) are correct. 0083v01