Two sample Z hypothesis test:

μ₁ : Mean of Male (Std. dev. not specified)
μ₂ : Mean of Female (Std. dev. not specified)
μ₁ - μ₂ : Difference between two means
H₀ : μ₁ - μ₂ = 0
H_A : μ₁ - μ₂ > 0

Hypothesis test results:

Difference	n1	n2	Sample mean	Std. err.	Z-stat	P-value
μ1 - μ2	25	25	1.56	0.36073998	4.3244444	<0.0001

Two sample Z confidence interval:

μ₁ : Mean of Minutes (T) (Std. dev. = 19.17)
μ₂ : Mean of Minutes (A) (Std. dev. = 20.59)
μ₁ - μ₂ : Difference between two means

95% confidence interval results:

Difference	n1	n2	Sample mean	Std. err.	L. limit	U. limit
μ1 - μ2	25	25	-5.8	5.626498	-16.827733	5.2277335

Two sample Z hypothesis test:

μ₁ : Mean of Minutes (T) (Std. dev. = 19.17)
μ₂ : Mean of Minutes (A) (Std. dev. = 20.59)
μ₁ - μ₂ : Difference between two means
H₀ : μ₁ - μ₂ = 0
H_A : μ₁ - μ₂ ≠ 0

Hypothesis test results:

Difference	n1	n2	Sample mean	Std. err.	Z-stat	P-value
μ1 - μ2	25	25	-5.8	5.626498	-1.0308366	0.3026

Two sample Z summary hypothesis test:

μ₁ : Mean of population 1 (Std. dev. = 39)
μ₂ : Mean of population 2 (Std. dev. = 30)
μ₁ - μ₂ : Difference between two means
H₀ : μ₁ - μ₂ = 0
H_A : μ₁ - μ₂ ≠ 0

Hypothesis test results:

Difference	n1	n2	Sample mean	Std. err.	Z-stat	P-value
μ1 - μ2	138	138	-22	4.1884936	-5.2524851	<0.0001

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
H_A : μ₁ - μ₂ ≠ 0.05

Sample statistics:

Sample	n	Mean	Std. dev.	Specified std. dev.
var2	7	131.42857	22.596881	23
var1	7	79.714286	14.907652	15

Hypothesis test results:

Difference	n1	n2	Sample mean	Std. err.	Z-stat	P-value
μ1 - μ2	7	7	51.714286	10.378549	4.9779872	<0.0001

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
H_A : μ₁ - μ₂ ≠ 0

Hypothesis test results:

Difference	n1	n2	Sample mean	Std. err.	Z-stat	P-value
μ1 - μ2	649	1492	-0.06	0.11304985	-0.5307393	0.5956

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
H_A : μ₁ - μ₂ ≠ 0

Hypothesis test results:

Difference	n1	n2	Sample mean	Std. err.	Z-stat	P-value
μ1 - μ2	649	842	-0.08	0.12848023	-0.6226639	0.5335

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
H_A : μ₁ - μ₂ ≠ 0

Hypothesis test results:

Difference	n1	n2	Sample mean	Std. err.	Z-stat	P-value
μ1 - μ2	649	327	-0.06	0.17748553	-0.33805573	0.7353

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
H_A : μ₁ - μ₂ ≠ 0

Hypothesis test results:

Difference	n1	n2	Sample mean	Std. err.	Z-stat	P-value
μ1 - μ2	649	842	-0.08	0.12848023	-0.6226639	0.5335

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
H_A : μ₁ - μ₂ ≠ 0

Hypothesis test results:

Difference	n1	n2	Sample mean	Std. err.	Z-stat	P-value
μ1 - μ2	649	568	-0.19	0.13938072	-1.3631727	0.1728

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
H_A : μ₁ - μ₂ ≠ 0

Hypothesis test results:

Difference	n1	n2	Sample mean	Std. err.	Z-stat	P-value
μ1 - μ2	649	795	0.42	0.11596863	3.6216692	0.0003

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
H_A : μ₁ - μ₂ ≠ 7.7

Hypothesis test results:

Difference	n1	n2	Sample mean	Std. err.	Z-stat	P-value
μ1 - μ2	33	29	7.6990596	4.426335	-0.00021246446	0.9998

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
H_A : μ₁ - μ₂ ≠ 0

Sample statistics:

Sample	n	Mean	Std. dev.
var4	30	7.1476667	3.2874575
var5	30	6.456	2.5922612

Hypothesis test results:

Difference	n1	n2	Sample mean	Std. err.	Z-stat	P-value
μ1 - μ2	30	30	0.69166667	0.76435583	0.90490141	0.3655

Shapiro-Wilk normality test results:

Sample	n	Stat	P-Value
var4	30	0.83464111	0.0003
var5	30	0.8826331	0.0032

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
H_A : μ₁ - μ₂ ≠ 0

Hypothesis test results:

Difference	n1	n2	Sample mean	Std. err.	Z-stat	P-value
μ1 - μ2	8	8	-0.17	0.016903085	-10.057336	<0.0001