Summary: Managerial Statistics | 9781111534639 | Gerald Keller
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Read the summary and the most important questions on 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
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Graphical Descriptive Techniques I - Types of Data and Information
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Graphical Descriptive Techniques I - Describing a Set of Nominal Data
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Graphical descriptive techniques II
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Data collection and Sampling - Measures of variability
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Data collection and Sampling - Measures of relative standing and box plots
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Discrete probability distributions - Assigning probability to events
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Discrete probability distributions - Joint, marginal, and conditional probability
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Discrete probability distributions - Probability rules and trees
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Random variables and discrete probability distributions
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Continuous probability distributions - Probability density functions
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Introduction to estimation - Sampling distribution of a proportion
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Introduction to estimation - Concepts of estimation
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Introduction to hypothesis testing - Testing the population mean when the population standard deviation is known
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Inference about a Population - Inference about a Population Mean When the Standard Deviation Is Unknown
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Inference about Comparing Two Populations
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Chi-Squared Tests - Chi-squared Goodness-of-Fit Test
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Simple linear regression and correlation
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Nonparametric Statistics