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Visual Guides/What Is Statistics?
Statistics

What Is Statistics? Why It Matters

Three real-world scenarios where raw intuition fails. See why organizations rely on statistical thinking to extract signal from noise.

Statistics is not about memorizing formulas; it is about asking the right questions of data. Each scenario below presents raw data and an intuitive conclusion. Your job is to decide whether to trust it.

Scenarios solved: 0/3
Framings toggled: 0/3

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Scenario 1

Product Launch Success

1

A company launches a new feature. After 1 week, 45% of users adopted it. Marketing says 'success!' but the data analyst is skeptical. The raw data covers 200 users with adoption status, device type, traffic source, and user tenure.

Raw Data

User IDDeviceTraffic SourceTenure (wks)Adopted
U0001DesktopPaid38No
U0002DesktopOrganic50No
U0003MobileOrganic5Yes
U0004MobilePaid12No
U0005DesktopOrganic5Yes
U0006MobileReferral38No
U0007MobileOrganic44Yes
U0008DesktopPaid12No
U0009DesktopReferral47Yes
U0010MobileReferral32No
U0011DesktopOrganic18No
U0012DesktopOrganic27No
U0013DesktopOrganic10No
U0014MobilePaid4Yes
U0015DesktopReferral9No
U0016MobileOrganic35Yes
U0017DesktopReferral9Yes
U0018MobileOrganic1No
U0019MobilePaid12Yes
U0020MobileOrganic51No
U0021MobileOrganic34Yes
U0022DesktopPaid47No
U0023MobileOrganic41Yes
U0024MobilePaid42Yes
U0025DesktopPaid16No
U0026MobilePaid3Yes
U0027DesktopOrganic36No
U0028DesktopReferral6No
U0029DesktopPaid12No
U0030MobileReferral0Yes
U0031MobilePaid6Yes
U0032DesktopReferral20No
U0033MobilePaid13Yes
U0034DesktopPaid10No
U0035MobileOrganic34Yes
U0036MobileOrganic18No
U0037DesktopOrganic49No
U0038MobilePaid25Yes
U0039DesktopPaid21No
U0040DesktopPaid5No
U0041DesktopOrganic18No
U0042DesktopReferral47Yes
U0043MobileOrganic26No
U0044MobileReferral51No
U0045MobileReferral46No
U0046MobileReferral50No
U0047DesktopOrganic28No
U0048MobileOrganic41No
U0049DesktopPaid38No
U0050MobilePaid23Yes
U0051MobilePaid23No
U0052MobileOrganic29Yes
U0053DesktopPaid11Yes
U0054DesktopPaid26No
U0055MobileReferral7Yes
U0056DesktopOrganic23No
U0057MobilePaid2Yes
U0058DesktopPaid19No
U0059MobileReferral47Yes
U0060DesktopReferral13No
U0061DesktopPaid33Yes
U0062DesktopReferral50No
U0063DesktopReferral1No
U0064DesktopPaid21No
U0065MobilePaid32No
U0066MobileReferral50Yes
U0067DesktopPaid51Yes
U0068DesktopOrganic51Yes
U0069DesktopOrganic3Yes
U0070MobileReferral38Yes
U0071DesktopPaid2No
U0072DesktopPaid38No
U0073DesktopPaid41No
U0074DesktopReferral42No
U0075DesktopPaid12No
U0076DesktopPaid6No
U0077DesktopOrganic27No
U0078DesktopReferral1No
U0079DesktopReferral43No
U0080DesktopReferral19No
U0081DesktopPaid1No
U0082MobileOrganic2Yes
U0083MobileOrganic45Yes
U0084MobileReferral51No
U0085MobileOrganic27Yes
U0086DesktopPaid30No
U0087DesktopReferral18No
U0088MobilePaid37Yes
U0089MobilePaid22No
U0090DesktopPaid39Yes
U0091MobilePaid26No
U0092MobilePaid10Yes
U0093DesktopPaid7No
U0094DesktopReferral39No
U0095MobilePaid24Yes
U0096MobileOrganic38Yes
U0097DesktopOrganic42No
U0098MobileReferral46Yes
U0099DesktopOrganic29Yes
U0100MobileReferral19No
U0101DesktopOrganic35Yes
U0102MobileReferral13Yes
U0103MobileOrganic20Yes
U0104MobilePaid13No
U0105MobileReferral20Yes
U0106DesktopOrganic10Yes
U0107MobileOrganic0No
U0108DesktopOrganic31Yes
U0109DesktopPaid40No
U0110MobileOrganic44Yes
U0111DesktopOrganic27No
U0112DesktopOrganic45Yes
U0113MobileReferral27No
U0114DesktopOrganic51No
U0115MobileReferral29Yes
U0116DesktopReferral14Yes
U0117DesktopReferral3Yes
U0118MobileReferral40Yes
U0119DesktopPaid9No
U0120DesktopReferral39No
U0121DesktopReferral12No
U0122MobileOrganic11Yes
U0123DesktopOrganic51No
U0124DesktopPaid40No
U0125MobileOrganic32Yes
U0126MobilePaid22Yes
U0127DesktopReferral13No
U0128DesktopReferral12Yes
U0129DesktopOrganic20Yes
U0130MobileOrganic44No
U0131MobileReferral21Yes
U0132MobileOrganic33Yes
U0133MobileOrganic32No
U0134MobilePaid27Yes
U0135MobileOrganic5Yes
U0136MobilePaid18Yes
U0137MobileReferral50No
U0138MobileReferral7Yes
U0139DesktopOrganic22No
U0140MobileOrganic45No
U0141DesktopReferral43No
U0142DesktopOrganic35No
U0143DesktopOrganic12Yes
U0144DesktopOrganic20No
U0145MobilePaid33No
U0146DesktopReferral44Yes
U0147DesktopPaid22No
U0148DesktopPaid35No
U0149DesktopPaid35No
U0150MobileReferral35Yes
U0151MobileReferral22No
U0152MobileReferral1No
U0153MobileReferral20Yes
U0154MobileReferral46Yes
U0155DesktopReferral16No
U0156DesktopOrganic34No
U0157MobileOrganic32Yes
U0158MobileReferral38Yes
U0159DesktopReferral24No
U0160MobilePaid4No
U0161MobileReferral34No
U0162DesktopOrganic38No
U0163MobileReferral25Yes
U0164MobilePaid32No
U0165MobileReferral30Yes
U0166MobileOrganic49No
U0167MobileOrganic9Yes
U0168MobileReferral35No
U0169MobilePaid1No
U0170DesktopOrganic50No
U0171MobileReferral2No
U0172DesktopReferral31No
U0173DesktopReferral31Yes
U0174MobileOrganic24No
U0175DesktopOrganic4No
U0176MobileOrganic41No
U0177MobilePaid18No
U0178MobileOrganic8Yes
U0179DesktopPaid15No
U0180DesktopOrganic4No
U0181DesktopPaid28No
U0182DesktopOrganic6No
U0183DesktopReferral22No
U0184DesktopReferral28No
U0185DesktopReferral19No
U0186MobilePaid32Yes
U0187DesktopReferral1Yes
U0188MobilePaid10No
U0189MobileOrganic37No
U0190DesktopOrganic25No
U0191DesktopPaid9No
U0192MobilePaid24Yes
U0193DesktopReferral17No
U0194DesktopPaid42Yes
U0195DesktopPaid22Yes
U0196MobileReferral22No
U0197MobileReferral6Yes
U0198DesktopPaid49No
U0199DesktopReferral32Yes
U0200DesktopOrganic2No
200 rows · scroll to explore

Can we confidently say the feature is a success based on 45% adoption?

Scenario 2

Loan Default Bias

2

You are auditing a loan approval algorithm. In the raw data: 70% of Group A loans defaulted; 30% of Group B loans defaulted. The conclusion: 'Group A is riskier.' But there is hidden structure: Group A has a different income composition than Group B.

Raw Data

Loan IDGroupIncome LevelDefaulted
L0001AHighNo
L0002AHighYes
L0003AHighNo
L0004AHighNo
L0005AHighNo
L0006AHighNo
L0007AHighNo
L0008AHighNo
L0009AHighNo
L0010AHighNo
L0011AHighNo
L0012AHighNo
L0013AHighNo
L0014AHighNo
L0015AHighNo
L0016AHighNo
L0017AHighNo
L0018AHighNo
L0019AHighNo
L0020AHighNo
L0021AHighYes
L0022AHighNo
L0023AHighNo
L0024AHighNo
L0025AHighYes
L0026AHighNo
L0027AHighNo
L0028AHighNo
L0029AHighYes
L0030AHighYes
L0031AHighNo
L0032AHighNo
L0033AHighNo
L0034AHighNo
L0035AHighNo
L0036AHighNo
L0037AHighNo
L0038AHighNo
L0039AHighYes
L0040AHighNo
L0041AHighNo
L0042AHighYes
L0043AHighNo
L0044AHighNo
L0045AHighNo
L0046AHighNo
L0047AHighNo
L0048AHighNo
L0049AHighYes
L0050AHighNo
L0051ALowYes
L0052ALowYes
L0053ALowYes
L0054ALowYes
L0055ALowYes
L0056ALowNo
L0057ALowYes
L0058ALowNo
L0059ALowYes
L0060ALowYes
L0061ALowYes
L0062ALowYes
L0063ALowYes
L0064ALowNo
L0065ALowYes
L0066ALowYes
L0067ALowYes
L0068ALowYes
L0069ALowYes
L0070ALowYes
L0071ALowYes
L0072ALowYes
L0073ALowYes
L0074ALowYes
L0075ALowYes
L0076ALowNo
L0077ALowYes
L0078ALowYes
L0079ALowYes
L0080ALowYes
L0081ALowYes
L0082ALowYes
L0083ALowNo
L0084ALowYes
L0085ALowNo
L0086ALowYes
L0087ALowNo
L0088ALowNo
L0089ALowYes
L0090ALowNo
L0091ALowYes
L0092ALowNo
L0093ALowYes
L0094ALowYes
L0095ALowNo
L0096ALowYes
L0097ALowYes
L0098ALowYes
L0099ALowYes
L0100ALowYes
L0101BHighNo
L0102BHighNo
L0103BHighNo
L0104BHighNo
L0105BHighNo
L0106BHighNo
L0107BHighNo
L0108BHighNo
L0109BHighNo
L0110BHighNo
L0111BHighNo
L0112BHighNo
L0113BHighYes
L0114BHighNo
L0115BHighNo
L0116BHighYes
L0117BHighNo
L0118BHighNo
L0119BHighNo
L0120BHighYes
L0121BHighNo
L0122BHighYes
L0123BHighNo
L0124BHighYes
L0125BHighNo
L0126BHighYes
L0127BHighNo
L0128BHighNo
L0129BHighNo
L0130BHighNo
L0131BHighNo
L0132BHighNo
L0133BHighNo
L0134BHighNo
L0135BHighNo
L0136BHighNo
L0137BHighNo
L0138BHighNo
L0139BHighNo
L0140BHighYes
L0141BHighNo
L0142BHighNo
L0143BHighYes
L0144BHighNo
L0145BHighYes
L0146BHighNo
L0147BHighYes
L0148BHighYes
L0149BHighNo
L0150BHighNo
L0151BHighNo
L0152BHighNo
L0153BHighYes
L0154BHighNo
L0155BHighNo
L0156BHighNo
L0157BHighYes
L0158BHighNo
L0159BHighNo
L0160BHighNo
L0161BHighNo
L0162BHighNo
L0163BHighNo
L0164BHighNo
L0165BHighNo
L0166BHighNo
L0167BHighYes
L0168BHighYes
L0169BHighNo
L0170BHighNo
L0171BHighYes
L0172BHighNo
L0173BHighNo
L0174BHighNo
L0175BHighNo
L0176BHighNo
L0177BHighNo
L0178BHighYes
L0179BHighNo
L0180BHighNo
L0181BLowYes
L0182BLowNo
L0183BLowYes
L0184BLowYes
L0185BLowYes
L0186BLowYes
L0187BLowYes
L0188BLowYes
L0189BLowYes
L0190BLowNo
L0191BLowNo
L0192BLowYes
L0193BLowNo
L0194BLowYes
L0195BLowNo
L0196BLowNo
L0197BLowYes
L0198BLowYes
L0199BLowNo
L0200BLowYes
200 rows · scroll to explore

Is Group A truly riskier, or is something else happening?

Scenario 3

Clinical Trial Ambiguity

3

A pharmaceutical company reports their new drug reduced symptom severity by an average of 8 points (on a 100-point scale) compared to a placebo (which showed 2 points improvement). The company claims 'clinically meaningful.' You see all individual data points in the raw table.

Raw Data

Subject IDGroupScore BeforeScore After
T001Treated4045
T002Treated7266
T003Treated6955
T004Treated6666
T005Treated5040
T006Treated7871
T007Treated5043
T008Treated5144
T009Treated5740
T010Treated7866
T011Treated5329
T012Treated5255
T013Treated7071
T014Treated4428
T015Treated4741
T016Treated4436
T017Treated7964
T018Treated7465
T019Treated6545
T020Treated4445
T021Treated5856
T022Treated6150
T023Treated6060
T024Treated6150
T025Treated7979
T026Treated7572
T027Treated6161
T028Treated6254
T029Treated4626
T030Treated4016
C001Control6247
C002Control4439
C003Control6753
C004Control5337
C005Control7376
C006Control6272
C007Control5755
C008Control5741
C009Control4630
C010Control5559
C011Control7878
C012Control6269
C013Control7880
C014Control7563
C015Control7761
C016Control4345
C017Control7058
C018Control6050
C019Control7173
C020Control6674
C021Control4749
C022Control5750
C023Control4843
C024Control5761
C025Control7677
C026Control6372
C027Control7682
C028Control7475
C029Control7281
C030Control7056
60 rows · scroll to explore

Is the drug's 8-point effect real and clinically meaningful, or could it be noise?

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