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STAT 2606 Lecture Notes - Lecture 1: Standard Deviation, Size 14, Frequency Distribution

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yellowyak612
14 Oct 2015
School
Carleton University
Department
Statistics
Course
STAT 2606
Professor
Gang Li

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Document Summary

Summarizing data and drawing inferences about the larger population from which it was drawn. Procedures used to summarize and describe the set of measurements. When we cannot enumerate the whole population, we use: Inferential statistics: procedures used to draw conclusions or inferences about the population from information contained in the sample. A numerical measurement on an experimental unit describing some characteristic of a population (e. g. , mean) A numerical measurement describing some characteristic of a sample (e. g. , mean) A variable is a characteristic that changes or varies over time and/or for different individuals or objects under consideration. Examples: hair color, age, time to failure of a computer component. An experimental unit is the individual or object on which a variable is measured. A measurement results when a variable is actually measured on an experimental unit. A set of measurements, called data, can be either a sample or a population.

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Related textbook solutions

Introductory Statistics
OER Edition, 2013
Openstax
ISBN: 9781938168208

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Related Questions

1. Matt, the manager, wants to estimate the mean wait time for customers to check out in his Mini-Market. He randomly selects customers and determines the mean wait time is minutes. Define the following for this exercise:

a) Is the data collected qualitative or quantitative?

b) Variable (x):

c) Population of Interest:

d) Sample:

e) Parameter of Interest and Statistic: Do you expect the parameter and the statistic to be the same value? Explain.

f) Discuss the use of descriptive and inferential statistics in this exercise.

g) Is the variable, x, discrete or continuous?

 

2. Identify the population and sample for the following examples:

The P.E. coach of a middle school interested in the mean height for the graders in the school. He randomly selects graders and measures the height of each.

a) Population:

b) 7thgraders Sample:

c) A community college notices that an increasing number of full-time students are working while attending school. The administration randomly selects 200 students and determines how many hours per week each student works.

1. Matt the Manager wants to estimate the mean wait time for customers to check out in his Mini-Market. He randomly selects 40 customers and determines the mean wait time is 2.7 minutes. Define the following for this exercise:Experimental Unit or Individual: Is the data collected qualitative or quantitative?Variable (x):Population of Interest:Sample:Parameter of Interest:Statistic:Do you expect the parameter and the statistic to be the same value? Explain.Discuss the use of descriptive and inferential statistics in this exercise.Is the variable, x, discrete or continuous?
 
2. Identify the populationand samplefor the following examples:a)The P.E. Coach of a middle school interested in the mean height for the 7thgraders in the school. He randomly selects 40 7thgraders and measures the height of each.Population: 7thgraders Sample: 40 7thgraders chosenb)A community college notices that an increasing number of full-time students are working while attending school. The administration randomly selects 200 students and determines how may hours per week each students works.
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1) Use descriptive statistics to investigate if there is an association between having had cholesterol and having had diabetes for the subjects in the sample. Then use an inference method to make a conclusion about the association between having had high cholesterol and having had diabetes in the population of all U.S. adults.

2) Use descriptive analysis to compare the distributions of age between subjects having high cholesterol and those who have never had it. Then use an inference method to compare the mean age of U.S. adults having had high cholesterol to the mean age of U.S. adults who have never had high cholesterol. 

In Rstudio with the file provided.

Thanks in advance.