Answer:
1.9 is greater than 1.39 if that's what your asking?
Answer:
0.15401
Step-by-step explanation:
Given that test statistic = 3.7408
From the question, we could deduce that, this is scenario could be analysed A ONE - WAY analysis of Variance method as it has one independent variable, Age subdivided into 3 levels
The test statistic value obtained is the Chisquare (χ²) value, which equals 3.7408
To Obtain the requested Pvalue, we need the degree of freedom, which is :
(Number of columns - 1) * (number of rows - 1)
Number of candidates = 2
Number of levels = 3
Hence,
Degree of freedom = (3 - 1) * (2 - 1) = 2 * 1 = 2
Using the Chisquare Pvalue calculator or distribution table :
χ²;3.7408, 2 = 0.154062
Pvalue = 0.1541
There was ninety three thousand one hundred seventy two people
Answer:
The answer is True.
Step-by-step explanation:
Sales variance is computed in same manner as cost variance that is computing both price and volume variance. However interpretation of end result will not be same. For example in material price variance if
A = actual purchase price = $ 4, B = standard purchase price= $ 5 and Qt= quantity purchased = 500 units then
Material price varaince = 500 (5-4) = 500,
This gives us favourable price variance of 500 dollars. However in sales price variance if
A = actual sales price = $ 4, B = standard sale price= $ 5 and Qt= quantity sold = 500 units then
Sale price varaince = 500 (5-4) = (500)
This gives us unfavourable sales price variance of 500 dollars.
This show that formulas to compute variances are same but sale price decrease give us un favorable variance and cost price decrease gives us favorable price variance and vice versa.
