{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

# hw4 - Sample Data 5 2 7 8 12 11 9 4 5 10 Sample Data Mean...

This preview shows pages 1–14. Sign up to view the full content.

Sample Data Sample Data Tools > Data 5 Then highlig 2 Mean 7.3000 <----- xba 7 Standard Error 1.0333 <----- do 8 Median 7.5000 <----- Q2 12 Mode 5.0000 <----- val 11 Standard Deviation 3.2677 <----- s = 9 Sample Variance 10.6778 <----- s^2 4 Kurtosis -1.0836 <----- do 5 Skewness -0.1185 <----- do 10 Range 10.0000 <----- ran Minimum 2.0000 <----- min Maximum 12.0000 <----- max Sum 73.0000 <----- sum Count 10.0000 <----- n Q1 5.0000 <----- Q1 Q3 9.7500 <----- Q3

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
a Analysis > Descriptive Statistics > Input Range: a:a, Labels in First Row: check, Output Range: d1, Summary Statistics: ght column E, Format > Cells > Number > Decimal Places: 4, OK ar = sumxi/n not need to know position = (2n+2)/4 = (n+1)/2 = 8th position. Therefore, Q2 = the value in the 8th position when the data is put in asc lue that appears the most = sqrt[s^2] 2 = {1/(n-1)}*{sumxi^2-(1/n)*(sumxi)^2} not need to know not need to know nge = max - min nimum value ximum value mxi = x1 + x2+ … + xn position = (n+3)/4 = 4.5th position. Therefore, Q1 = the value in the 4.5th position when the data is put in ascending position = (3n+1)/4 = 11.5th position. Therefore, Q3 = the value in the 11.5th position when the data is put in ascendi
: check cending order = 45. order = 36+(.5)*(37-36) = 36.5. ing order = 49+(.5)*(50-49) = 49.5.

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Cars Kids Count of Cars Kids 1 1 Cars 1 2 3 4 5 1 2 1 1 1 2 2 2 1 3 2 4 2 1 3 3 1 3 3 2 2 1 4 Grand Total 5 5 5 5 5 1 4 1 5 1 5 1 6 1 6 2 1 2 1 2 1 2 1 2 2 2 2 2 3 2 4 2 4 2 4 2 5 2 5 2 5 2 6 2 6 3 2 3 2 3 3 3 3 3 6
Data > PivotTable and PivotChart Report > Next, Range: a:b, 6 Grand Total Then click a down arrow in the table and uncheck (blank) 2 10 2 15 1 5 5 30

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Next, Existing Worksheet: e1, Layout: Drag Cars to Row, Kids to Column, and Cars to Data (if you do not see Count of Ca
ars in Data, double click, select Count of Cars, then OK), OK, Finish

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Binomial n 15 <----- This piece of information must be entered by the user. p 0.4000 <----- This piece of information must be entered by the user. xi P(X<=xi) <----- xi value (column 1), cumulative probability (column 2) 0 0.0005 <----- P(X<=0) = P(0) where P(0)=[nC0]*[p^0]*[(1-p)^(n-0)] 1 0.0052 <----- P(X<=1) = P(0)+P(1) 2 0.0271 <----- P(X<=2) = P(0)+P(1)+P(2) 3 0.0905 4 0.2173 5 0.4032 6 0.6098 7 0.7869 8 0.9050 9 0.9662 10 0.9907 11 0.9981 12 0.9997 13 1.0000 <----- P(X<=13) = P(0)+P(1)+…+P(13) 14 1.0000 <----- P(X<=14) = P(0)+P(1)+…+P(14) 15 1.0000 <----- P(X<=15) = P(0)+P(1)+…+P(15) 16 Err:502 <----- A probability value of #NUM! means the xi is beyond n. 17 Err:502 18 Err:502 19 Err:502 20 Err:502 21 Err:502 22 Err:502 23 Err:502 24 Err:502 25 Err:502 26 Err:502 27 Err:502 28 Err:502 29 Err:502 30 Err:502
Normal mu 6312 sigma 2029 xi P(X<=xi) 3280.00 0.0675 4850.00 0.2356 7500.00 0.7209 6720.00 0.5797 11930.00 0.9972 2140.00 0.0199 P(X<=xi) xi 0.3200 5363.0391 0.9400 9466.6356 0.1100 3823.3744

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Age Population Standard Deviation 5.0000 20 15 Sample Size 10 19 Sample Mean 18.0000 17 18 Confidence Interval 16 Confidence Coefficient 0.98 18 Lower Limit 14.3217 21 Upper Limit 21.6783 20 16 Hypothesis Test Hypothesized Value 21 z Test Statistic -1.8974 P-value (LST) 0.0289 P-value (RST) 0.9711 P-value (2ST) 0.0578

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
<----- This piece of information must be entered by the user. <----- n <----- xbar <----- This piece of information must be entered by the user. <----- xbar - z*[sigma/sqrt(n)] <----- xbar + z*[sigma/sqrt(n)] <----- This piece of information must be entered by the user. <----- z = [xbar-mu0]/[sigma/sqrt(n)] <----- area to the left of zstat <----- area to the right of zstat <----- combined area outside zstat & helper
Amperage Sample Size 12 0.9 Sample Mean 0.6667 1.1 Sample Standard Deviation 0.2188 0.6 0.7 Confidence Interval 0.8 Confidence Coefficient 0.95 0.6 Lower Limit 0.5276 0.3 Upper Limit 0.8057 0.6 0.7 Hypothesis Test 0.4 Hypothesized Value 0.8 0.8 t Test Statistic -2.1109 0.5 P-value (LST) 0.0292 P-value (RST) 0.9708 P-value (2ST) 0.0585

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

### What students are saying

• As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

Kiran Temple University Fox School of Business ‘17, Course Hero Intern

• I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

Dana University of Pennsylvania ‘17, Course Hero Intern

• The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

Jill Tulane University ‘16, Course Hero Intern