Answer:
Yes, There is significant difference.
Step-by-step explanation:
Null Hypothesis , H0 : Mean income = 15000
Alternate Hypothesis , H1 : Mean income ≠ 15000
t = (x - u) / ( s / √n)
x = sample mean = 14500 here, u = population mean = 15000 here , s = standard deviation = 975 here , n = sample size
t = (14500 - 15000) / (975 / √169)
-500 / 75 = - 6.66
As calculated t value in absolute terms is > 1.96 , ie tabulated value at 95% significance level (two sided). So we reject the null hypothesis in favor of alternate hypothesis. Hence, we state that 'Mean Income ≠ 15000'
I think it means which graph is the best at representing the data or data set.
For example if you were to graph the population of an animal you would use a line graph to represent the data
If you were determining how much percentage you would get a job you would use a pie graph. Etc
A 2-liter bottle of Coke for $1.39 is the best deal. No need to divide.
F(x)=x^2-3x+1/2, if f(4)
Substitute x with 4, to get
f(x)=x^2-3x+1/2
f(4)=4^2-3(4)+1/2
f(4)=16-12+1/2
f(4)=4+1/2
f(4)=4 1/2 or 4.5. Hope it help!
16.92 × 8.4 = 142.128
This is called the product
