最新版统计精品课件英文版chap012

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基础统计学培训讲座(英文版)(ppt 31页)

基础统计学培训讲座(英文版)(ppt 31页)
• A population might consist of all the people in Nanaimo but also may mean the PE ratios for all chemical stocks, or total assets of the 20 largest banks in North America, total collection of prices, ages, square footage of retail space in Nanaimo, and so on.
1-18
Types of Variables
A continuous variable can assume any value within a specified range.
Examples are: The pressure in a tire, the weight of a pork chop, or the height of students in a class. Typically, continuous variables are the result of measuring something.
1-11
Types of Statistics
Inferential Statistics: The methods used to determine something about a population, based on a sample.
EXAMPLE 3: Wine tasters sip a few drops of wine to make a decision with respect to all the wine waiting to be released for sale.

英文商务统计学ppt课件第十二章_Ch12

英文商务统计学ppt课件第十二章_Ch12

To estimate mean values and predict individual values
Business Statistics: A First Course, 5e © 2009 Prentice-Hall, Inc.. Chap 12-2
Correlation vs. Regression
X
Y
Y
X
Business Statistics: A First Course, 5e © 2009 Prentice-Hall, Inc..
X
Chap 12-6
Types of Relationships
(continued) Strong relationships Y Y Weak relationships
Chap 12-3
Business Statistics: A First Course, 5e © 2009 Prentice-Hall, Inc..
Introduction to Regression Analysis

Regression analysis is used to:

Predict the value of a dependent variable based on the value of at least one independent variable Explain the impact of changes in an independent variable on the dependent variable
X
X
Y
Y
X
Business Statistics: A First Course, 5e © 2009 Prentice-Hall, Inc..

基础统计学培训讲座(英文版)(ppt 31页)

基础统计学培训讲座(英文版)(ppt 31页)

1-6
Who Usቤተ መጻሕፍቲ ባይዱs Statistics?
Statistical techniques are used extensively by managers in marketing, accounting, quality control, consumers, professional sports people, hospital administrators, educators, politicians, physicians, gamblers, etc...
– This is why younger people pay more for insurance…
• Knowledge of statistical methods at least helps you understand why decisions are made
– In future you will make decisions that involve data
1-7
Types of Statistics
Descriptive Statistics: Methods of organizing, summarizing, and presenting data in an informative way.
EXAMPLE 1: A Gallup poll found that 49% of the people in a survey knew the name of the first book of the Bible. The statistic 49 describes the number out of every 100 persons who knew the answer.

基础统计学(英文版)(ppt 31页)

基础统计学(英文版)(ppt 31页)
EXAMPLE: the number of bedrooms in a house, or the number of hammers sold at the local Home Depot (1,2,3,…,etc). But you cannot have 2.3 bedrooms or 10.6 hammers…Thus discrete variables result from counting.
1-3
Why study statistics?
• Numerical info is everywhere
– But how do we know if conclusions reported are accurate?
• Statistical techniques are used to make decisions that affect our lives
1-18
Types of Variables
A continuous variable can assume any value within a specified range.
Examples are: The pressure in a tire, the weight of a pork chop, or the height of students in a class. Typically, continuous variables are the result of measuring something.
1-15
Types of Variables
For a Qualitative or Attribute variable the characteristic being studied is nonnumeric.

商务统计学最新英文版教学课件第12章

商务统计学最新英文版教学课件第12章

▪ Explain the impact of changes in an independent variable on the dependent variable
▪ Dependent variable: the variable we wish to predict or explain
▪ Independent variable: the variable used to predict or explain the dependent variable
b1 is the estimated change in the mean value of Y as a result of a one-unit
increase in X
Simple Linear Regression Example
DCOVA
A real estate agent wishes to examine the relationship between the selling price of a home and its size (measured in square feet)
Simple Linear Regression Model
DCOVA
Dependent Variable
Population Y intercept
Population Slope Coefficient
Independent Variable
Yi β0 β1Xi εi
Random Error term
House Price in $1000s (Y) 245 312 279 308 199 219 405 324 319 255
Square Feet (X) 1400 1600 1700 1875 1100 1550 2350 2450 1425 1700

统计学课件英语

统计学课件英语

1
Financial Accounting and Accounting Standards
LEARNING OBJECTIVES
After studying this chapter, you should be able to: 1. Identify the major financial statements and other means of financial reporting. 2. Explain how accounting assists in the efficient use of scarce resources. 3. Identify the objective of financial reporting. 4. Explain the need for accounting standards. 5. Identify the major policy-setting bodies and their role in the standard-setting process.
in making decisions in their capacity as capital providers.
Illustration 1-1 Capital Allocation Process
It promotes productivity, encourages innovation, and provides an efficient and liquid market for buying and selling securities and obtaining and granting credit.
1-6
LO 2 Explain how accounting assists in the efficient use of scare resources.

统计思想英文版课件Cha课件


常用统计软件介绍
● R语言:一种开源的统计计算和绘图软件,具有丰富的统计函数和灵活的编程语言。
● Stata:一种功能强大的统计软件,广泛应用于社会科学、医学、生物等领域,支持多种数据格式。
● SPSS:一种广泛使用的统计软件,具有简单易用的界面和强大的统计分析功能,适用于各种领域 的数据分析。
统计思想在数据分析中的应用:统计思想能够指导数据分析师进行有效的数据分析和挖掘,发现数 据背后的规律和趋势。
统计思想在预测和决策中的应用:统计思想能够通过建立数学模型对未来进行预测,为决策者提供 更加准确和可靠的数据支持。
统计思想在社会科学领域的应用:统计思想在社会科学领域中具有广泛的应用,如社会调查、市场 研究、政策评估等。
软件操作技巧和注意事项
熟悉软件界面和功能:掌握软件的 基本操作和功能,方便后续的数据 处理和分析。
数据输入和处理:掌握数据输入和 处理的技巧,包括数据清洗、数据 筛选、数据转换等,提高数据处理 效率。
图表制作和可视化:掌握图表制 作和可视化的技巧,根据数据分 析结果选择合适的图表类型,使 数据呈现更加直观和易于理解。
统计思想英文版课 件Cha课件
PPT,a click to unlimited possibilities
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目录
CONTENTS
01 添加目录标题 02 统计思想概述 03 统计方法的应用 04 统计软件的应用 05 案例分析
06 总结与展望
单击添加章节标题
第一章
统计思想概述
第二章
数据分析:对数据 进行整理、分析和 解读
结果呈现:将分析 结果以图表、文字 等形式呈现
结果呈现和讨论
案例分析结果展示

统计学课件-英文版


LO4-1: Explain the concepts of center, variability, and shape.
Three key characteristics of numerical data:
4-5
Chapter 4
LO4-2
4.1 Numerical Description
LO4-2: Use Excel to obtain descriptive statistics and visual displays.

For the J.D. Power quality data:

Here, the midrange (126.5) is higher than the mean (114.70) or median (113).
4-14
Chapter 4
LO4-3
4.2 Measures of Center
Growth Rates A variation on the geometric mean used to find the average growth rate for a time series.
4-12
Chapter 4
LO4-3
4.2 Measures of Center
Year Revenue (mil)
Formulas> Insert Function (������������ ) >Statistical>MEDIAN
4-9
Chapter 4
LO4-3 Mode
• • •
4.2 Measures of Center
The most frequently occurring data value. May have multiple modes or no mode. The mode is most useful for discrete or categorical data with only a few distinct data values. For continuous data or data with a wide range, the mode is rarely useful.

《统计》优质

(2)从图上你还能知 道什么?
到2004年这个县家庭电脑拥有量大约是:3500台;到2005年这个县家庭电脑拥有量大约是:5300台
品牌 A B C D 数量/箱 30 45 25 10
统计图还可以这样画。把他补充完整。 2003年6月3~10日矿泉水销售量统计图
你认 刘玉 李琴 身高/厘米 141 138 139 143 142 体重/千克 35 33 32 40 36
统计
序言
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12-2
Characteristics of F-Distribution
1.
2. 3.
4.
5.
There is a “family” of F Distributions. Each member of the family is determined by two parameters: the numerator degrees of freedom and the denominator degrees of freedom. The F distribution is continuous The F distribution cannot be negative. The F distribution is positively skewed. It is asymptotic.


12-4
Test for Equal Variances
12-5
Test for Equal Variances - Example
Lammers Limos offers limousine service from the city hall in Toledo, Ohio, to Metro Airport in Detroit. Sean Lammers, president of the company, is considering two routes. One is via U.S. 25 and the other via I-75. He wants to study the time it takes to drive to the airport using each route and then compare the results. He collected the following sample data, which is reported in minutes.
Step 1: The hypotheses are: H0: σ12 = σ12 H1: σ12 ≠ σ12
12-3
Comparing Two Population Variances
The F distribution is used to test the hypothesis that the variance of one normal population equals the variance of another normal population. The following examples will show the use of the test:

Two Barth shearing machines are set to produce steel bars of the same length. The bars, therefore, should have the same mean length. We want to ensure that in addition to having the same mean length they also have similar variation. The mean rate of return on two types of common stock may be the same, but there may be more variation in the rate of return in one than the other. A sample of 10 technology and 10 utility stocks shows the same mean rate of return, but there is likely more variation in the Internet stocks. A study by the marketing department for a large newspaper found that men and women spent about the same amount of time per day reading the paper. However, the same report indicated there was nearly twice as much variation in time spent per day among the men than the women.
Analysis of Variance
Chapter 12
McGraw-Hill/Irwin
©The McGraw-Hill Companies, Inc. 2008
GOALS
1.
2.
3. 4. 5.
6.
List the characteristics of the F distribution. Conduct a test of hypothesis to determine whether the variances of two populations are equal. Discuss the general idea of analysis of variance. Organize data into a one-way ANOVA table. Conduct a test of hypothesis among three or more treatment means. Develop confidence intervals for the difference in treatment means.
Using the .10 significance level, is there a difference in the variation in the driving times for the two routes?
12-6Biblioteka Test for Equal Variances - Example
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