Class Notes for Statistics at Indiana University - Bloomington (IU)

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IUSTAT-S 211ALLFall

STAT-S 211 Lecture 2: STAT-S-211 - Lecture 2

OC22572443 Page
18 Sep 2018
0
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IUSTAT-S 211ALLFall

STAT-S 211 Lecture 1: STAT-S-211 - Lecture 1

OC22572442 Page
18 Sep 2018
0
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IUSTAT-S 300Jessica KelwaskiSpring

STAT-S 300 Lecture Notes - Lecture 22: Randomized Experiment, Conditional Probability, Null Hypothesis

OC10566334 Page
25 Aug 2016
4
The reasoning of significance tests: tests ask if sample data gives good evidence against a claim, an outcome that would rarely happen if a claim were
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IUSTAT-S 300Jessica KelwaskiSpring

STAT-S 300 Lecture Notes - Lecture 29: Standard Deviation, Test Statistic, Normal Distribution

OC10566332 Page
25 Aug 2016
1
Population regression line- also called true regression line; for population data: uses all observations in population to calculate o. Sample regressio
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IUSTAT-S 300Jessica KelwaskiSpring

STAT-S 300 Lecture Notes - Lecture 25: Sampling Distribution, Test Statistic, Randomized Experiment

OC10566332 Page
25 Aug 2016
0
The sampling distribution of: sampling distribution of. Confidence intervals for: when inference conditions met, approximate level c confidence interva
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IUSTAT-S 300Jessica KelwaskiSpring

STAT-S 300 Lecture Notes - Lecture 28: Design Patterns, Multiple Comparisons Problem, Random Assignment

OC10566332 Page
25 Aug 2016
1
Any difference from h0 means h0 is false, ha true. Not one-sided or two-sided- allows any kind of difference, could be called. Overall test to see if t
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IUSTAT-S 300Jessica KelwaskiSpring

STAT-S 300 Lecture Notes - Lecture 27: Test Statistic, Random Assignment, Categorical Variable

OC10566332 Page
25 Aug 2016
4
Comparing observed and expected counts: the chi-square statistic: chi-square goodness-of-fit (gof) test- significance test using chi-square ( kye - ) t
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IUSTAT-S 300Jessica KelwaskiSpring

STAT-S 300 Lecture Notes - Lecture 24: Statistical Significance, Statistical Inference

OC10566332 Page
25 Aug 2016
0
Section 9. 3 notes- tests about a population mean. 12-4-13: if using table b, round down on degrees of freedom if needed value not there, calculator mu
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IUSTAT-S 300Jessica KelwaskiSpring

STAT-S 300 Lecture Notes - Lecture 23: Normal Distribution, Null Hypothesis, Statistic

OC10566332 Page
25 Aug 2016
4
Section 9. 2 notes- tests about a population proportion. Carrying out a significance test: test statistic- measures how far a sample statistic diverges
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IUSTAT-S 300Jessica KelwaskiSpring

STAT-S 300 Lecture 20: 8.2 Notes (Nov. 13)

OC10566331 Page
25 Aug 2016
0
Conditions for estimating: shape- normal population or sample large enough so that np and n(1 p) > 10 (normal condition) and sampling distribution of i
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IUSTAT-S 300Jessica KelwaskiSpring

STAT-S 300 Lecture Notes - Lecture 26: Bias Of An Estimator, Confidence Interval, Sampling Distribution

OC10566332 Page
25 Aug 2016
3
12-18-13: choose srs of size n1 from population 1 with mean and standard deviation, choose independent second srs of size n2 from population 2 with mea
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IUSTAT-S 300Jessica KelwaskiSpring

STAT-S 300 Lecture Notes - Lecture 19: Randomized Experiment, Statistical Parameter, Random Assignment

OC10566332 Page
25 Aug 2016
6
Point estimator- statistic (ie. ) that provides an estimate of a population parameter: point estimate- value of that statistic from a sample, best gues
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