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Showing 1 to 15 of 131 results matching Two sample Z
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Two sample Z hypothesis test:


μ1 : Mean of var2 (Std. dev. = 23)
μ2 : Mean of var1 (Std. dev. = 15)
μ1 - μ2 : Difference between two means
H0 : μ1 - μ2 = 0.05
HA : μ1 - μ2 ≠ 0.05

Sample statistics:


SamplenMeanStd. dev.Specified std. dev.
var27131.4285722.59688123
var1779.71428614.90765215

Hypothesis test results:
Differencen1n2Sample meanStd. err.Z-statP-value
μ1 - μ27751.71428610.3785494.9779872<0.0001
Two sample Z hypothesis test POSITIVE VALUES
mkhalbertAug 5, 20192KB9

Two sample Z summary hypothesis test:


μ1 : Mean of population 1 (Std. dev. = 2.21)
μ2 : Mean of population 2 (Std. dev. = 2.8)
μ1 - μ2 : Difference between two means
H0 : μ1 - μ2 = 0
HA : μ1 - μ2 ≠ 0

Hypothesis test results:
Differencen1n2Sample meanStd. err.Z-statP-value
μ1 - μ26491492-0.060.11304985-0.53073930.5956
Two sample Z summary hypothesis test (N0 Difference)
Adams 1$2 ( Mourner Vs. Adams 1$2)
colechris72Jul 23, 20191KB21

Two sample Z summary hypothesis test:


μ1 : Mean of population 1 (Std. dev. = 2.21)
μ2 : Mean of population 2 (Std. dev. = 2.75)
μ1 - μ2 : Difference between two means
H0 : μ1 - μ2 = 0
HA : μ1 - μ2 ≠ 0

Hypothesis test results:
Differencen1n2Sample meanStd. err.Z-statP-value
μ1 - μ2649842-0.080.12848023-0.62266390.5335
Two sample Z summary hypothesis test
James Otis Vs The Mourner (No Difference)
colechris72Jul 23, 20191KB23
Two sample Z confidence interval44100557_ecollege_browardJul 21, 2019174B14

Two sample Z summary hypothesis test:


μ1 : Mean of population 1 (Std. dev. = 2.21)
μ2 : Mean of population 2 (Std. dev. = 2.8)
μ1 - μ2 : Difference between two means
H0 : μ1 - μ2 = 0
HA : μ1 - μ2 ≠ 0

Hypothesis test results:
Differencen1n2Sample meanStd. err.Z-statP-value
μ1 - μ2649327-0.060.17748553-0.338055730.7353
Two sample Z summary hypothesis test
Samuel Adam 1&2 vs The mourner
jtcheteJun 27, 20191KB20

Two sample Z summary hypothesis test:


μ1 : Mean of population 1 (Std. dev. = 2.21)
μ2 : Mean of population 2 (Std. dev. = 2.75)
μ1 - μ2 : Difference between two means
H0 : μ1 - μ2 = 0
HA : μ1 - μ2 ≠ 0

Hypothesis test results:
Differencen1n2Sample meanStd. err.Z-statP-value
μ1 - μ2649842-0.080.12848023-0.62266390.5335
Two sample Z summary hypothesis test
James Otis VS The MOURNER
jtcheteJun 27, 20191KB17

Two sample Z summary hypothesis test:


μ1 : Mean of population 1 (Std. dev. = 2.21)
μ2 : Mean of population 2 (Std. dev. = 2.6)
μ1 - μ2 : Difference between two means
H0 : μ1 - μ2 = 0
HA : μ1 - μ2 ≠ 0

Hypothesis test results:
Differencen1n2Sample meanStd. err.Z-statP-value
μ1 - μ2649568-0.190.13938072-1.36317270.1728
Two sample Z summary hypothesis test
Alexander Hancock Vs. THE MOURNER
nanyanwuJun 27, 20191KB20

Two sample Z summary hypothesis test:


μ1 : Mean of population 1 (Std. dev. = 2.21)
μ2 : Mean of population 2 (Std. dev. = 2.17)
μ1 - μ2 : Difference between two means
H0 : μ1 - μ2 = 0
HA : μ1 - μ2 ≠ 0

Hypothesis test results:
Differencen1n2Sample meanStd. err.Z-statP-value
μ1 - μ26497950.420.115968633.62166920.0003
Two sample Z summary hypothesis test (Test For Mean Difference)
Test of Mean Difference ( Tom Sturdy Vs. THE MOURNER)
nanyanwuJun 27, 20191KB18

Two sample Z hypothesis test:


μ1 : Mean of Male Hours (Std. dev. = 17.839)
μ2 : Mean of Female Hours (Std. dev. = 16.986)
μ1 - μ2 : Difference between two means
H0 : μ1 - μ2 = 7.7
HA : μ1 - μ2 ≠ 7.7

Hypothesis test results:
Differencen1n2Sample meanStd. err.Z-statP-value
μ1 - μ233297.69905964.426335-0.000212464460.9998
Two sample Z hypothesis test Male and Female
enmendozaJan 29, 20191KB56

Two sample Z hypothesis test:


μ1 : Mean of var4 (Std. dev. not specified)
μ2 : Mean of var5 (Std. dev. not specified)
μ1 - μ2 : Difference between two means
H0 : μ1 - μ2 = 0
HA : μ1 - μ2 ≠ 0

Sample statistics:


SamplenMeanStd. dev.
var4307.14766673.2874575
var5306.4562.5922612

Hypothesis test results:
Differencen1n2Sample meanStd. err.Z-statP-value
μ1 - μ230300.691666670.764355830.904901410.3655

Shapiro-Wilk normality test results:


SamplenStatP-Value
var4300.834641110.0003
var5300.88263310.0032
Two sample Z hypothesis test
kidibuyDec 10, 20183KB67

Two sample Z hypothesis test:


μ1 : Mean of Dutchbros Price/ounce (Std. dev. not specified)
μ2 : Mean of Starbucks Price/ounce (Std. dev. not specified)
μ1 - μ2 : Difference between two means
H0 : μ1 - μ2 = 0
HA : μ1 - μ2 ≠ 0

Hypothesis test results:
Differencen1n2Sample meanStd. err.Z-statP-value
μ1 - μ288-0.170.016903085-10.057336<0.0001
Two sample Z hypothesis test
renabayleyDec 6, 20181KB64

Two sample Z hypothesis test:


μ1 : Mean of 21&Under (Std. dev. not specified)
μ2 : Mean of Over21 (Std. dev. not specified)
μ1 - μ2 : Difference between two means
H0 : μ1 - μ2 = 0
HA : μ1 - μ2 ≠ 0

Hypothesis test results:
Differencen1n2Sample meanStd. err.Z-statP-value
μ1 - μ231314.90322583.73506971.31275350.1893
Two sample Z hypothesis test
canolatDec 3, 20181KB51

Two sample Z hypothesis test:


μ1 : Mean of var1 (Std. dev. not specified)
μ2 : Mean of var2 (Std. dev. not specified)
μ1 - μ2 : Difference between two means
H0 : μ1 - μ2 = 0
HA : μ1 - μ2 ≠ 0

Sample statistics:


SamplenMeanStd. dev.
var13164.7096773.2577451
var23165.3548392.576152

Hypothesis test results:
Differencen1n2Sample meanStd. err.Z-statP-value
μ1 - μ23131-0.645161290.74594522-0.864890980.3871
Two sample Z hypothesis test
tshanayDec 3, 20182KB52

Two sample Z confidence interval:


μ1 : Mean of 1 of 4 2016 (Std. dev. not specified)
μ2 : Mean of 1 of4 2017 (Std. dev. not specified)
μ1 - μ2 : Difference between two means

95% confidence interval results:
Differencen1n2Sample meanStd. err.L. limitU. limit
μ1 - μ290900.288888892.8231009-5.24428725.822065
Two sample Z confidence interval
sthomas91Nov 30, 20181KB68

Two sample Z hypothesis test:


μ1 : Mean of 1 of 4 2016 (Std. dev. not specified)
μ2 : Mean of 1 of4 2017 (Std. dev. not specified)
μ1 - μ2 : Difference between two means
H0 : μ1 - μ2 = 0
HA : μ1 - μ2 ≠ 0

Hypothesis test results:
Differencen1n2Sample meanStd. err.Z-statP-value
μ1 - μ290900.288888892.82310090.102330340.9185
Two sample Z hypothesis test
sthomas91Nov 30, 20181KB74

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