Lesson 4 Compare datas. Outliers A data value is an outlier if x < Q 1 – 1.5(IQR) or if x > Q 3 +...

7
Lesson 4 Compare datas

Transcript of Lesson 4 Compare datas. Outliers A data value is an outlier if x < Q 1 – 1.5(IQR) or if x > Q 3 +...

Page 1: Lesson 4 Compare datas. Outliers A data value is an outlier if x < Q 1 – 1.5(IQR) or if x > Q 3 + 1.5(IQR) Statistics – numbers that characterize a data.

Lesson 4

Compare datas

Page 2: Lesson 4 Compare datas. Outliers A data value is an outlier if x < Q 1 – 1.5(IQR) or if x > Q 3 + 1.5(IQR) Statistics – numbers that characterize a data.

Outliers

• A data value is an outlier if x < Q1 – 1.5(IQR) or

• if x > Q3 + 1.5(IQR)

• Statistics – numbers that characterize a data set, such as measures of center and spread.

Page 3: Lesson 4 Compare datas. Outliers A data value is an outlier if x < Q 1 – 1.5(IQR) or if x > Q 3 + 1.5(IQR) Statistics – numbers that characterize a data.

Performance TaskDealer A

14 13 15 12

15 16 15 17

17 12 16 14

15 16 14 16

13 14 18 15

Dealer B

16 17 15 20

18 19 18 17

19 10 19 18

15 17 20 19

18 18 16 17

The tables list the daily car sales of two competing dealerships.

Page 4: Lesson 4 Compare datas. Outliers A data value is an outlier if x < Q 1 – 1.5(IQR) or if x > Q 3 + 1.5(IQR) Statistics – numbers that characterize a data.

A. Calculate the mean, median, interquartile range (IQR), and

standard deviation for each data set. Compare the measures of

center for the two dealers.

Page 5: Lesson 4 Compare datas. Outliers A data value is an outlier if x < Q 1 – 1.5(IQR) or if x > Q 3 + 1.5(IQR) Statistics – numbers that characterize a data.

mean median IQR Standard Deviation

Dealer A

Dealer B

Page 6: Lesson 4 Compare datas. Outliers A data value is an outlier if x < Q 1 – 1.5(IQR) or if x > Q 3 + 1.5(IQR) Statistics – numbers that characterize a data.

B. Create a dot plot for each data set. Compare the distributions of the data

sets.

Page 7: Lesson 4 Compare datas. Outliers A data value is an outlier if x < Q 1 – 1.5(IQR) or if x > Q 3 + 1.5(IQR) Statistics – numbers that characterize a data.

C. Determine if there are any outliers in the data sets. If there are, remove the outlier and find the statistics for that data set(s).

What was affected by the outliers?


Chapter 2 Tutorial 2 nd & 3 rd LAB. Boxplot Example 1 1 1 3 5 6 6 7 8 12 13 15 Draw the boxplot For the following set Min= Q1= Median= Q3= Max= IQR= 1.5×IQR=

Chapter 2 Tutorial 2 nd & 3 rd LAB. Boxplot Example 1 1 1 3 5 6 6 7 8 12 13 15 Draw the boxplot For the following set Min= Q1= Median= Q3= Max= IQR= 1.5×IQR=

Equipotential and Electric Field Mapping1. Equipotential and Electric Field Mapping V = U q 2 V = 1 4ˇ 0 q 1 q 2 r 1 q 2 V = 1 4ˇ 0 q 1 r (1.5) Notice that the electric potential

Equipotential and Electric Field Mapping1. Equipotential and Electric Field Mapping V = U q 2 V = 1 4ˇ 0 q 1 q 2 r 1 q 2 V = 1 4ˇ 0 q 1 r (1.5) Notice that the electric potential

Playing Doom with Deep Reinforcement Learning · 2019. 8. 26. · 1.5 Deep Convolutional Q-Learning Q-Learning is a reinforcement learning procedure which attempts to learn the value

Playing Doom with Deep Reinforcement Learning · 2019. 8. 26. · 1.5 Deep Convolutional Q-Learning Q-Learning is a reinforcement learning procedure which attempts to learn the value

FINAL PROJECTof Q-M(1.5)

FINAL PROJECTof Q-M(1.5)

IQR Survey

IQR Survey

€¦ · unit 15 -2K 3. Chece LCM = X ± 5 Chece: — 15 K +8 +35 -35 Cheac: 5(-q.5) _ -1=- 4 LCM= q(K-q) Chece.. D 3(-1.5) +3 o D -1.5+3 (0. 3(K-lD) OX-ID *-10 x+5) Kþù(X-lO) -LQ)-CÈi2L

€¦ · unit 15 -2K 3. Chece LCM = X ± 5 Chece: — 15 K +8 +35 -35 Cheac: 5(-q.5) _ -1=- 4 LCM= q(K-q) Chece.. D 3(-1.5) +3 o D -1.5+3 (0. 3(K-lD) OX-ID *-10 x+5) Kþù(X-lO) -LQ)-CÈi2L

Math 1710 Class 15pi.math.cornell.edu/~back/m171/slides171/sep30/sep30_v4u.pdf · Q1 −1.5·IQR Contingency Tables - Ch. 3 Math 1710 Class 15 Sampling Distributions, Summary Statistics

Math 1710 Class 15pi.math.cornell.edu/~back/m171/slides171/sep30/sep30_v4u.pdf · Q1 −1.5·IQR Contingency Tables - Ch. 3 Math 1710 Class 15 Sampling Distributions, Summary Statistics

Median and IQR - Texas Instruments · Web viewidentify interquartile range (IQR) as measure of spread related to the median; recognize that many different data distributions can have

Median and IQR - Texas Instruments · Web viewidentify interquartile range (IQR) as measure of spread related to the median; recognize that many different data distributions can have

HI-Q COUPLINGS HI-FLEX COUPLINGS - Maurey COUPLINGS HI-FLEX COUPLINGS STYLE 1 ... Planer 3 Cylinders or More 1.5 ... Winder 1.5 Soaking Pit Cover Drive 3.0 ELEVATORS Calender, ...

HI-Q COUPLINGS HI-FLEX COUPLINGS - Maurey COUPLINGS HI-FLEX COUPLINGS STYLE 1 ... Planer 3 Cylinders or More 1.5 ... Winder 1.5 Soaking Pit Cover Drive 3.0 ELEVATORS Calender, ...

PACS IQR ESTEC 13 January 2005 Mech Qual Status 1 PACS IQR Mechanical Qualification Status and Plans for PFM Reinhard Katterloher R. Graue, D. Kampf, R.

PACS IQR ESTEC 13 January 2005 Mech Qual Status 1 PACS IQR Mechanical Qualification Status and Plans for PFM Reinhard Katterloher R. Graue, D. Kampf, R.

CRC III and CASHCOW OUTCOMES FOR Northern Beef RD&Ereefcatchments.com.au/.../02/...the-beef-cow-doona.pdfCow/mixed Heifer No. of Mobs Median IQR* No. of Mobs Median IQR * Southern

CRC III and CASHCOW OUTCOMES FOR Northern Beef RD&Ereefcatchments.com.au/.../02/...the-beef-cow-doona.pdfCow/mixed Heifer No. of Mobs Median IQR* No. of Mobs Median IQR * Southern

Automatically generated PDF from existing images. · 2019. 9. 9. · BD KISELEFF NR 3, SECTOR 1, BUCURESTI SOS. c. Q 7. ZOM iQR. APROB, Manager ... agentii de paza vor: avea o tinuta

Automatically generated PDF from existing images. · 2019. 9. 9. · BD KISELEFF NR 3, SECTOR 1, BUCURESTI SOS. c. Q 7. ZOM iQR. APROB, Manager ... agentii de paza vor: avea o tinuta

4.3 Boxplots and IQR PRACTICEIQR = 3 - 1 = 2 Min = 64 Q1 = 75 Med = 80 Q3 = 86 Max = 93 IQR = 86 - 75 = 11 The box plot above is skewed right because the values are spread out more

4.3 Boxplots and IQR PRACTICEIQR = 3 - 1 = 2 Min = 64 Q1 = 75 Med = 80 Q3 = 86 Max = 93 IQR = 86 - 75 = 11 The box plot above is skewed right because the values are spread out more

(UG) Original 2011 Test paper Time: -3 hrs. Answer all the questions Q.l.l. Q.1.2. Q.1.3. QI.4 Q.1.5. In what ways is the use of a bicycle of more advantage than ...

(UG) Original 2011 Test paper Time: -3 hrs. Answer all the questions Q.l.l. Q.1.2. Q.1.3. QI.4 Q.1.5. In what ways is the use of a bicycle of more advantage than ...

DM 02 01 Data Undrestandingwebpages.iust.ac.ir/yaghini/Courses/Data_Mining_882/DM_02... · 2015-10-07 · Inter-Quartile Range Inter-quartile range (IQR) – IQR = Q3 – Q1 – IQR

DM 02 01 Data Undrestandingwebpages.iust.ac.ir/yaghini/Courses/Data_Mining_882/DM_02... · 2015-10-07 · Inter-Quartile Range Inter-quartile range (IQR) – IQR = Q3 – Q1 – IQR

Important Concepts not on the AP Statistics Formula Sheet AP Stats.pdfImportant Concepts not on the AP Statistics Formula Sheet Part I: IQR = Q 3 – Q 1 Test for an outlier: 1.5(IQR)

Important Concepts not on the AP Statistics Formula Sheet AP Stats.pdfImportant Concepts not on the AP Statistics Formula Sheet Part I: IQR = Q 3 – Q 1 Test for an outlier: 1.5(IQR)

Monmouth University Results - Day 1 Women 100 Meter Dash · 5 Warfvinge, Lisa Manhattan 12.59 q-2.0 1 6 Walker, Genesis Rider 12.60 q-1.5 4 7 Thorton, Akira Niagara 12.70 q-1.5 4

Monmouth University Results - Day 1 Women 100 Meter Dash · 5 Warfvinge, Lisa Manhattan 12.59 q-2.0 1 6 Walker, Genesis Rider 12.60 q-1.5 4 7 Thorton, Akira Niagara 12.70 q-1.5 4

Cite as: Ríos-Silva M, Murillo-ZamoraE, Mendoza-Cano O ...jogh.org/documents/issue202002/jogh-10-020512_AU.pdf · years, IQR 33-46 versus 36 years, IQR 29-42; P

Cite as: Ríos-Silva M, Murillo-ZamoraE, Mendoza-Cano O ...jogh.org/documents/issue202002/jogh-10-020512_AU.pdf · years, IQR 33-46 versus 36 years, IQR 29-42; P

Quiz Friday! CC Median SIC Median CC IQR SIC IQR Write one … · 2019. 4. 11. · 11Comparing Data Practice.notebook 1 April 11, 2019 CC Median _____ SIC Median ____ CC ... 2nd 1)

Quiz Friday! CC Median SIC Median CC IQR SIC IQR Write one … · 2019. 4. 11. · 11Comparing Data Practice.notebook 1 April 11, 2019 CC Median _____ SIC Median ____ CC ... 2nd 1)

slide 101€¦ · 25th - 50th 2: Below 25th Inter-quartile range (IQR) Outliers = Beyond 1.5 x IQR Min (excluding extreme values) Measure of variability How far each value in list

slide 101€¦ · 25th - 50th 2: Below 25th Inter-quartile range (IQR) Outliers = Beyond 1.5 x IQR Min (excluding extreme values) Measure of variability How far each value in list