Step-by-step explanation:
a. The mean can be found using the AVERAGE() function.
x = 272.7
b. The standard deviation can be found with the STDEV() function.
s = 39.9
c. The t-score can be found with the T.INV.2T() function. The confidence level is 0.04, and the degrees of freedom is 26.
t = 2.162
d. Find the lower and upper ends of the confidence interval.
Lower = 272.7 − 2.162 × 39.9 = 186.5
Upper = 272.7 + 2.162 × 39.9 = 358.9
The expressions is undefined in the set of the real numbers.
The line of best fit , also called a trendline or a linear regression, is a straight line that best illustrates the overall picture of what the collected data is showing. It helps us to see if there is a relationship or correlation between the two factors being studied. This trendline helps us to predict future events relating to the data being studied. Hope this helped!
Answer:
2.113 and -0.446
Step-by-step explanation:
you have to use the formula x=-(b)+ or - the sqaure root of (b) squared-4 (a)(c) all over 2 (a).
Multiply 2207 by .27 and get $595.89. This is the first year depreciation.
After 1 year the computer has a value of $1611.11.
Year 2 depreciation would be 1611.11 X .27= $434
1611.11-434= $1,177.11
Year 3 1177.11 X .27= $317.82
1177.11- 317.82= $859.29
Final year 859.29 X .27= 232
$859.29- 232= $627.29