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Bar Graphwhat is your major?-Pie Chartex) # of people with a particular majorlabel each slice with:category; freq (or relative freq or percentage)
2.2 presenting quantitative datafrequency distribution (table)- looks the same when you have each data value gets its own frequencywhen might it look different?ex) what is your age? i take a sample from all BMCC students19,22,56,20,21,27,32,22,47,25,24,42break data up into data classes (from low to high)(what class you choose is up to you)here, break it up into 10s, 20s, 30s 40s 50s ...this is typical for dealing with ageseach age range or "data group" is called a data classthe class width is the distance between classesex) here its 10 20-10=10 or 30-20=10note: the class width must stay the same (in general)the class limits (or class boundaries) are the highest and lowest values in theclassex) here the class limits on the first class are 10 and 19(note: there are other technical definitions for this, but we will use this simplehow do you make a frequency distribution table with continuous data?...adjust class limits according to your precision (number of decimal places)ex) if you record people's ages with 2 decimal places (20.47years, 21.65, etc)then write your class limits with 2 decimal places: 10-19.99, 20-29.99, 30-30.99 etc
Page 1: Please answer the following questio
Page 5 and 6: @ samplinghow do you get your subje
Page 7 and 8: 1.4 sources of errorself-selecting
Page 9 and 10: 1.5 designing an experimentex) find
Page 11 and 12: suggested experiments1 objective: e
Page 13 and 14: suggested experimentsex)objective:
Page 15: ch2 - organizing and presenting dat
Page 19 and 20: 19,22,56,20,21,27,32,22,47,25,24,42
Page 21 and 22: 2.4 misleading representations- a g
Page 23 and 24: ch 3: numerically summarizing data3
Page 25 and 26: 3.2 Measures of Dispersionhow sprea
Page 27 and 28: sample populationmean x µ "mu"st.d
Page 29 and 30: whats the standard deviation? [extr
Page 31 and 32: 3.4, 3.5 measures of position- rank
Page 33 and 34: oxplot- picture of the 5 numbersumm
Page 36 and 37: hw 3.2 questions3.2 online #1) find
Page 39 and 40: a man is 68" tall, for men the mean
Page 41 and 42: hw questions3.4online #4
Page 43 and 44: 45 47 48 56 57 59 60 62 63 64 64 65
Page 45 and 46: what is the mean in our example?not
Page 47 and 48: the normal probability distribution
Page 49 and 50: ex) find P(z 1.37) ?the TOTAL has t
Page 51 and 52: finding a z-score (or data value)gi
Page 53 and 54: ex) find P(z < 1.75)have:want:ex) f
Page 55 and 56: hw questions 6.1#8
Page 57 and 58: hw questions 7.2, 7.37.3 #7
Page 59 and 60: hw questions ch7
Page 61 and 62: hw questions ch77.2 #4
Page 63 and 64: for adult salmon length, µ=42" and
Page 65 and 66: 17% of Americans have high choleste
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ex) if p=.28, find P( > .32) with a
Page 69 and 70:
hw questions ch8
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hw questions ch88.1probability that
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hypothesis testing (formally)1. a c
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ex) pollution level in a riveran en
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ex) a drug company is trying to mak
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hypothesis test about µ, what if w
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σhave σ dont have σ, have snote:
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ex)H 0 : µ=4H 1 : µ
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ex) does the public believe the dea
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hw questions - ch 10
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hw questions - ch10
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10.6 summary of ch10we have to iden
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ex) you need to know if proposition
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hw questions ch1010.3 #2 online
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10.3-online #2)Ho: µ = 1.67H 1 :
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why might we wind up with two equal
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lets analyze the margin of error:CI
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ex) find the 96% CI for µ when x =
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lets do a confidence interval....fo
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elationship between confidence leve
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ex) are the people in support of st
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hw questions ch99.3#1 construct a C
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hw questions ch9online 9.1#2confide
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hw questions ch9online 9.2#4constru
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ex) are men paid a higher salary (f
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to do a confidence interval for the
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hw questions - ch1111.1 #14x: .582
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linear correlation and regression [
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Doing Regression and Correlation us
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Probability [ch5]...from a more mat
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finding probabilities from real-wor
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ex) roll a dieP(roll a 6, then a 3,
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