So you subtract $22.89 from $54.73 to get a total of $31.84 and that’s how much the customer paid.
Answer:
a) 0.71
b) 0.9863
Step-by-step explanation:
a. Given the mean prices of a house is $403,000 and the standard deviation is $278,000
-The probability the probability that the selected house is valued at less than $500,000 is obtained by summing the frequencies of prices below $500,000:
Hence, the probability of a house price below $500,000 is 0.71
b. -Let X be the mean price of a randomly selected house.
-Since the sample size 40 is greater than 30, we assume normal distribution.
-The probability can therefore be calculated as follows:
Thus, the probability that the mean value of the 40 houses is less than $500,000 is 0.9863
Answer:
x = 7
Step-by-step explanation:
8x = 56
To solve this, we must simplify. To do this, we must divide each side by 8. This, in term, will give us the value of x.
8x = 56
---- ----
8 8
56/8 = 7
x = 7
Our answer is x = 7
no solution, they are all the same line
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
