X x_ = (13+14+11+11+13+10)/6=12 x-x_ (x-x_)^2 standard deviation is
13 for all X_ it is the same 13-12=1 . 1. =(12/6)^1/2=1.41421
14 14-12=2 . 4.
11 11-12=-1 . 1.
11 11-12 =-1 . 1.
13 13-12=1 . 1.
10 10-12=-2. 4.
In expanded form, 208,000,478 is:
200,000,000+8.000,000+400+70+8
2x^2 + 5x + 2 = (2x + 1)(x + 2)
2w^2 + 5w - 3 = (2w -1)(w + 3)
3a^2 + 14a + 8 = (3a + 2)(a + 4)
30z^2 - 23z + 2 = (10z - 1)(3z - 2)
8y^2 + 23y -3 = (8y - 1)(y + 3)
not sure about last one sorry
Step by step equation
Square root
Answer:
We are given that The dependent variable is production; that is, it is assumed that different levels of production result from a different number of employees.
Number of Assemblers(x) One-Hour Production(y) (units)
2 11
4 18
1 7
5 29
3 20
a. Draw a scatter diagram.
Solution : Refer the attached figure
b. Based on the scatter diagram, does there appear to be any relationship between the number of assemblers and production? Explain.
Solution: The equation that shows the relationship between the number of assemblers and production is
Where y is One-Hour Production (units) and x is the Number of Assemblers
c.Compute the correlation coefficient.
Solution:
Formula of correlation coefficient:
x y xy
2 11 22 4 121
4 18 72 16 324
1 7 7 1 49
5 29 145 25 841
3 20 60 9 400
Sum: 15 85 306 55 1735
n=5
Substitute the values in the formula :
The correlation coefficient is 0.00351