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Browse the full collection of course materials, past exams, study guides and class notes for STAT 1051 - Introduction to Business and Economic Statistics at George Washington …
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Balaji, S
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STAT 1051 Lecture Notes - Lecture 1: Dependent And Independent Variables, Pie Chart, Bar Chart
Stat 1051 - lecture 1 - chapter 1 - introduction to statistics. Statistics: science of collection and analysis of data. There are two types: descriptiv
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STAT 1051 Lecture 2: STAT 1051 Lecture 2
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STAT 1051 Lecture 4: Sat 1051 Lecture 3 CHapter 2 Page 2
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STAT 1051 Lecture 4: Stat 1051- Lecture 3- Ch 2 Page 1
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STAT 1051 Lecture Notes - Lecture 5: Standard Deviation, Quartile, Percentile
Stat 1051 - lecture 4 - chapter 2 - methods for describing sets of data. More general but less precise (used for population and sample) Class of 500 st
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STAT 1051 Lecture Notes - Lecture 6: Interquartile Range, Standard Score, Box Plot
Stat 1051 - lecture 5 - chapter 2 - methods for describing sets of data. Calculate the following data set: find the z score of 3 and 11. Z score of 3:
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STAT 1051 Lecture Notes - Lecture 7: Sample Space, Thrice
Stat 1051 lecture 6 chapter 3 (september 17, 2018) Study of randomness and uncertainty (numerical measure of chance %: experimental probability, subjec
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STAT 1051 Lecture Notes - Lecture 8: Triangular Array
Suppose there are n objects of which n are of type 1, n2 are of type 2nk are of type k, Stat 1051 lecture 7 chapter 3 (september 19, 2018) Fact: where
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STAT 1051 Lecture Notes - Lecture 9: Venn Diagram, Sample Space, Mutual Exclusivity
A committee of 5 students to be selected from 8 juniors and 12 seniors. Number of ways 5 students can be selected from 20 students. Stat 1051 lecture 8
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STAT 1051 Lecture Notes - Lecture 10: Sample Space, Countable Set, Random Variable
Stat 1051 lecture 9 chapter 3 and part of chapter 4 (september 26) For any two events, a and b. Suppose a box contains 3 white and 2 blue marbles. Pick
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STAT 1051 Lecture Notes - Lecture 12: Xu, Random Variable, Fair Coin
Stat 1051 lecture 10 chapter 4 (october 1) Rules: p(x) 0 for all of x. Toss a fair coin 4 times (x = number of heads) P(0) = p(x = 0) = p(tttt) = 1/16.
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STAT 1051 Lecture Notes - Lecture 15: Probability Distribution, Random Variable, Histogram
Stat 1051- lecture 12 chapter 4: continuous random variables. Continuous random variables: can be a whole interval or even the entire real line. Random
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STAT 1051 Lecture Notes - Lecture 16: Cumulative Distribution Function, Standard Score, Papist
Stat 1051 lecture 13 chapter 5: normal distribution (october 17, 2018) = 0. 3849: p(0 (cid:1248) z (cid:1248) 1, p(-2. 1 z 2. 1) (cid:1248) (cid:1248)
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STAT 1051 Lecture Notes - Lecture 17: Quartile, Miraculin, Binomial Distribution
Suppose x is normally distributed random variable with u=50 and =3, find the value. Example: of the random variable, call it x0 such that: p(x. ) = 0.
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STAT 1051 Lecture Notes - Lecture 18: Baseball Field, Standard Score, Standard Deviation
Then x is (approximately) normal with mean u=np and standard deviation = npq. For any integer a between 1 and n, S = blood diamond x = number of succes
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STAT 1051 Lecture Notes - Lecture 19: Central Limit Theorem, Standard Deviation, Sampling Distribution
Treat x as a random variable (as it changes from sample to sample) If population is normal or n and the variance of x is (cid:1249) 2 we have x to be n
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STAT 1051 Lecture Notes - Lecture 20: Confidence Interval, Statistical Parameter, Point Estimation
. 33(based on table) but because area under curve is 0. 01. = 1. 96 (based on table) because 0. 5-0. 025=0. 475 and then look at table. When given an e
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STAT 1051 Lecture Notes - Lecture 21: Confidence Interval, Standard Deviation
When population is normal and standard deviation is known, yo use: When standard deviation is unknown but n 3. A bell shaped distribution, similar to z
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STAT 1051 Lecture 22: Determining Sample Sizes
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STAT 1051 Lecture Notes - Lecture 23: Null Hypothesis, Test Statistic, Standard Score
Method of using sample data evidence to test various theories or claims about an unknown population. Dara are used to prove/disprove various claims. Su
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STAT 1051 Lecture Notes - Lecture 24: Type I And Type Ii Errors, Null Hypothesis, Test Statistic
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STAT 1051 Lecture Notes - Lecture 28: Loyalty Program, Null Hypothesis, Confidence Interval
N = 250 people in total n = 225 people would agree to participate in a store loyalty program a = 0. 01. = 0. 8 p = true proportion of people who favore
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STAT 1051 Lecture Notes - Lecture 29: Confidence Interval, Test Statistic, Null Hypothesis
0 u u1 2 u u1 2. Z = u u1 2 u1 2 u. As before, similar to the single population case. Since it is a 2 sided test we calculate. Only one of them has to
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STAT 1051 Lecture Notes - Lecture 30: Dependent And Independent Variables
Allows us to summarize and study relationships between two continuous. One variable, denoted x , is regarded as the predictor variable, denoted y , is
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