STATS 250 Lecture Notes - Lecture 1: Unimodality, Histogram, Confounding

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ivoryweasel182

13 Sep 2016

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STATS 250 Full Course Notes

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Raw data numbers and category labels that have been collected, but not yet processed. Variable a characteristic that differs from one individual to the next. Sample data collected from a subset of a larger population. Statistic a summary measure of sample data. Parameter a summary measure of population data. Raw data: amount of sleep of individual college students. Sample data: data from this set of 86 college students. Statistic: a summary measure of the amount of sleep of this set of 86 students. Parameter: measure of sleep of all college students. Categorical (qualitative) variable places individual or item into one of several groups or categories. Ordinal categorical variable when categorical values have a certain order or ranking. Quantitative (measurement, numerical) variable takes numerical values for which arithmetic operations make sense (i. e. taking an average of the data) Not ordinal because reference point could change. The and then count recorded from children: quantitative.

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.

fuchsiatermite35

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.

fuchsiatermite35

STATS 250 Lecture Notes - Lecture 1: Unimodality, Histogram, Confounding

STATS 250 Full Course Notes

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