Answer:
52
Step-by-step explanation:
Answer:
Since the calculated value of z= 1.6279 does not fall in the critical region Z ≥ ±1.96 we conclude that there is no difference between the population variance and the sample variance.
Step-by-step explanation:
The data given is
Population mean μ= $ 7.18
Population variance= σ²= 3.81
Population Standard Deviation = √σ²= √3.81= 1.952
Sample Mean= x`= $ 8.02
Sample Standard Deviation =s = $ 2.08
Sample Size = 15
Significance Level = ∝= 0.05
The null and alternate hypotheses are
H0: σ1=σ2 against the claim that Ha: σ1≠ σ2
where σ1 is the population variance and
σ2 is the sample variance
The rejection region is Z ≥ ±1.96 for two tailed test at ∝= 0.05
The test statistic z is used
z= x`- μ/ σ/√n
Putting the values
Z= 8.02-7.18/1.952/√15
z= 0.84/0.51599
z= 1.6279
Since the calculated value of z= 1.6279 does not fall in the critical region Z ≥ ±1.96 we conclude that there is no difference between the population variance and the sample variance.
Answer: 6
Step-by-step explanation:
Answer:
I am so confused
Step-by-step explanation:
Answer:
18 kilograms of drink A and 6 kilograms of drink B
Step-by-step explanation:
Let x equal the amount of Drink A
.04x + .08(24-x) = .05(24) Multiply through by 100 to clear the decimal
4x + 8(24-x) = 5(24)
4x + 192 - 8x = 120 Combine like terms
-4x + 192 = 120 Subtract 192 from both sides
-4x = -72 Divide both sides by -4
x = 18 This is the number of kilograms for drink A.
24-18= 6. This is the amount for Drink B
