Monthly Starting Salary (TRL)

Slides:



Advertisements
Similar presentations
The procedure for finding the variance and standard deviation for grouped data is similar to that for finding the mean for grouped data, and.
Advertisements

Why do we need the standard deviation? 1- The standard deviation reflects dispersion of data values, so that the dispersion of different distributions.
PPA 415 – Research Methods in Public Administration Lecture 5 – Normal Curve, Sampling, and Estimation.
Sullivan – Statistics: Informed Decisions Using Data – 2 nd Edition – Chapter 3 Introduction – Slide 1 of 3 Topic 17 Standard Deviation, Z score, and Normal.
Dr. Michael R. Hyman, NMSU Statistics for a Single Measure (Univariate)
Data Transformation Data conversion Changing the original form of the data to a new format More appropriate data analysis New.
Learning Objectives for Section 11.3 Measures of Dispersion
Making Inferences for Single Variables Chapter 11 Reading Assignment pp
Multiple Choice Review
20, 22, 23, 24, 24, 25, 25, 27, 35 Are there any outliers? Draw a skeleton boxplot. Draw a modified boxplot.
12.3 – Measures of Dispersion
Review of Basic Statistics. Definitions Population - The set of all items of interest in a statistical problem e.g. - Houses in Sacramento Parameter -
CHAPTER 3 : DESCRIPTIVE STATISTIC : NUMERICAL MEASURES (STATISTICS)
Rules of Data Dispersion By using the mean and standard deviation, we can find the percentage of total observations that fall within the given interval.
Probabilistic and Statistical Techniques
Understanding Inferential Statistics—Estimation
Introduction to Inferential Statistics. Introduction  Researchers most often have a population that is too large to test, so have to draw a sample from.
8.3 Measures of Dispersion  In this section, you will study measures of variability of data. In addition to being able to find measures of central tendency.
Chapter 3.2 Measures of Variance.
Normal Distribution Section 2.2. Objectives  Introduce the Normal Distribution  Properties of the Standard Normal Distribution  Use Normal Distribution.
Normal Curves and Sampling Distributions Chapter 7.
Descriptive Statistics
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.
5, 8, 13, 17, 22, 24, 25, 27, 29, 30. 8, 10, 22, 24, 25, 25, 26, 27, 45, 72 Graph & Describe.
Refer to Ex 3-18 on page Record the info for Brand A in a column. Allow 3 adjacent other columns to be added. Do the same for Brand B.
Estimating a Population Mean
Data Set: Apartment Rents (in ascending order)
CHAPTER 3 : DESCRIPTIVE STATISTIC : NUMERICAL MEASURES (STATISTICS)
Copyright © 2012 Pearson Education, Inc. All rights reserved Chapter 9 Statistics.
Chapter 11 Data Descriptions and Probability Distributions Section 3 Measures of Dispersion.
Seventy efficiency apartments were randomly Seventy efficiency apartments were randomly sampled in a college town. The monthly rent prices for the apartments.
The Normal Distribution Name:________________________.
Do Now Find the mean and standard deviation for the data set (assume sample data):
Descriptive Statistics Measures of Variation
Math 201: Chapter 2 Sections 3,4,5,6,7,9.
Chapter 6 Continuous Probability Distribution
Understanding Sampling Distributions: Statistics as Random Variables
Chapter 2 Descriptive Statistics.
3.5 z-scores & the Empirical Rule
Chapter 12 Statistics 2012 Pearson Education, Inc.
LEARNING OUTCOMES After studying this chapter, you should be able to
Week 10 Chapter 16. Confidence Intervals for Proportions
Chapter 3 Describing Data Using Numerical Measures
Section 3.2 Measures of Spread.
Sources of New Dental Faculty, to
ANATOMY OF THE EMPIRICAL RULE
Normal Distribution.
Sources of New Dental Faculty, to
Warm Up If there are 2000 students total in the school, what percentage of the students are in each region?
Describing Data with Numerical Measures
Warm Up If there are 2000 students total in the school, what percentage of the students are in each section?
Teacher Introductory Statistics Lesson 2.4 D
The Normal Distribution
Empirical Rule Empirical rule only works for a bell-shaped distribution. That is, empirical rule cannot be applied to other distributions such as left-skewed,
Warm Up If there are 2000 students total in the school, what percentage of the students are in each section?
Distribution Shape: Skewness
The Normal Distribution
The Normal Distribution
Refer to Ex 3-18 on page Record the info for Brand A in a column. Allow 3 adjacent other columns to be added. Do the same for Brand B.
MBA 510 Lecture 2 Spring 2013 Dr. Tonya Balan 4/20/2019.
The Normal Distribution
BUSINESS MARKET RESEARCH
Theorems About Variability
Center and Spread IB SL: Statistics Day 2.
Empirical Rule ( %) Empirical Rule For data with a (symmetric) bell-shaped distribution, the standard deviation has the following characteristics.
Section 2.5 notes continued
Warm-Up Honors Algebra 2 3/20/19
Normal Distribution.
Chapter 12 Statistics.
Business Statistics For Contemporary Decision Making 9th Edition
Presentation transcript:

Monthly Starting Salary (TRL) Monthly Starting Salaries for a sample of 12 business school graduates Graduate Monthly Starting Salary (TRL) 1 2,020 2 2,075 3 2,125 4 2,040 5 1,980 6 1,955 7 2,050 8 2,165 9 2,070 10 2,260 11 2,060 12

A student scored 65 on statistics test that had a mean of 50 and a standard deviation of 10, she scored 30 on history test with a mean of 25 and a standard deviation of 5. Compare her relative positions on the two tests

Test A: X=38 Sample Mean=40 St. Dev.=5 Test B: X=94 Sample Mean=100 Find z-scores for each test, and state which is higher. Test A: X=38 Sample Mean=40 St. Dev.=5 Test B: X=94 Sample Mean=100 St. Dev.=10

A X=12 Sample Mean=10 St. Dev.=4 B X=170 Sample Mean=120 St. Dev.=32 C Which score has the highest relative position. A X=12 Sample Mean=10 St. Dev.=4 B X=170 Sample Mean=120 St. Dev.=32 C X=180 Sample Mean=60 St. Dev.=8

The mean price of houses in a certain neighborhood is 50,000 USD and standard deviation is 10,000 USD. Find the price range for which at least 75% of the houses will sell.

Why do we need the standard deviation? 1- The standard deviation reflects dispersion of data values, so that the dispersion of different distributions may be compared by using standard deviations. 2- The standard deviation permits the precise interpretation of data values within a distributions. 3- The standard deviation, like the mean, is a member od a mathematical system which permits its use in more advanced statistical considerations.

EMPIRICAL RULES 1- About 68% of the values will lie within 1 standard deviation of the mean, that is, between x̄ - s and x̄ + s; 2- About 95% of the values will lie within 2 standard deviation of the mean, that is, between x̄ - 2s and x̄ + 2s; 3- About 99.7% of the values will lie within 3 standard deviation of the mean, that is, between x̄ - 3s and x̄ + 3s;

Problem Based on a survey of dental practitioners, the study reported that the mean number of units of local anesthetics used per week by dentists was 79, with a standard deviation of 23. Suppose we want to determine the percentage of dentists who use less than 102 units of local anesthetics per week. a- Assuming nothing is known about the shape of the distribution for the data, what percentage of dentists use less than 102 units of local anesthetics per week? b- Assuming that the data has a mound-shaped (bell-shaped or symmetric) distribution, what percentage of dentists use less than 102 units of local anesthetics per week?

Mean Standard Deviation Hand rubbing 35 59 Hand washing 69 106 Problem Based on the study to compare the effectiveness of washing the hands with soap and rubbing the hands with alcohol-based antiseptics. Table: Descriptive statistics on bacteria counts for the two groups of health care workers. Mean Standard Deviation Hand rubbing 35 59 Hand washing 69 106 a- For hand rubbers, form an interval that contains at least 75% of the bacterial counts. b- For hand washers, form an interval that contains at least 75% of the bacterial counts. (Note that the bacterial count cannot be less than 0) c- On the basis of your results in parts a and b, make an inference about the effectiveness of the two hand cleaning methods.