Summary: Managerial Statistics  9781111534639  Gerald Keller
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1 What Is Statistics?
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How do you call a random sample of voters who exit the polling booth and are asked for whom they voted?
Exit polls 
What is a parameter?
A descriptive measure of a population. E.g. the mean number of a group, etc. You ask: which measure of the population do I want to describe. 
What are the 2 levels of reliability build into statistical inference?
1. Confidence level  proportion of times that an estimating procedure will be correct
2. Significance level  how frequently the conclusion about a population will be wrong 
1.1 Key Statistical Concepts
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How do you call the group of all items that are of interest to a statistics practitioner?
Population 
How do you call a descriptive measure of a population?
Parameter 
How do you call a descriptive measure of a sample?
Statistic 
2 Graphical Descriptive Techniques I
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What is the interval data of measurement?
Real numbers, such as heights, weights, incomes, etc. Also known as quantitative or numerical data. There is an arbitrary zero point, that we as humans chose. E.g temperature. All calculations are valid, and data may be treated as ordinal or nominal. 
What are the 2 types of graphical techniques used to describe ordinal data?
Also bar chart and pie chart, but the only difference is that the values at the horizontal axis of the bar chart have a logical order, as do the values in the pie chart. The pie chart is also arranged clockwise 
What graphical techniques are used to describe interval and ratio data?
 Histograms
 Stem leaf display
 Ogive 
What is a histogram?
Gives a clear summary of the set of data. Is drawn with a frequency table that counts the occurrences of a certain interval
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Topics related to Summary: Managerial Statistics

Graphical Descriptive Techniques I  Types of Data and Information

Graphical Descriptive Techniques I  Describing a Set of Nominal Data

Graphical descriptive techniques II

Data collection and Sampling  Measures of variability

Data collection and Sampling  Measures of relative standing and box plots

Discrete probability distributions  Assigning probability to events

Discrete probability distributions  Joint, marginal, and conditional probability

Discrete probability distributions  Probability rules and trees

Random variables and discrete probability distributions

Continuous probability distributions  Probability density functions

Introduction to estimation  Sampling distribution of a proportion

Introduction to estimation  Concepts of estimation

Introduction to hypothesis testing  Testing the population mean when the population standard deviation is known

Inference about a Population  Inference about a Population Mean When the Standard Deviation Is Unknown

Inference about Comparing Two Populations

ChiSquared Tests  Chisquared GoodnessofFit Test

Simple linear regression and correlation

Nonparametric Statistics