Question

help with the following please, bellow is the question along with the CVS file data / excel data, thanks for your help.

(1 point) Jonathan considers booking a flight to see the temple at Chichen Itza, which is near Cancun Mexico. Expedica.ca offers both business class (non-stop/direct) as well as first class flights (with a 1-stop layover). Jonathan wants to know if the prices for his options are approximately the same, or if flying first class will generally cost more. Can you help him find this out? Use a = 0.035 for all calculations. The specifics can be found in the file below. Download .csv file (a) Check to see the distribution of the flight classes appear to be normal. Hint: use a p-value to decide with a = 0.035. OA. neither direct flights nor layover flights appear to be normal OB. direct flights appear to be normal but layover flights do not appear to be normal OC. Both direct flights and layover flights appear to be normal OD. layover flights appear to be normal but direct flights do not appear to be normal (b) Report the p-value of the test you ran in (a) concerning the normality of first class flights, use at least two decimals in your answer. P-value = (c) Does there appear to be a negative difference in the general price between business and first class flights? OA. No OB. I have too much information to answer this question OC. Yes OD. I don't have enough information to answer this question (d) At what level of significance would you come to a different conclusion? Please use at least four digits in your answer. Give a decimal not a percentage. Significance Level = (e) Based on the above calculations, to save money Jonathan shou ? buy a business class (direct) flight buy a first class (layover) flight Preview My Answers Submit Answers buy a business class (layover) flight You have attempted this problem 0 times. buy a first class (direct) flight You have 4 attempts remaining. buy either a first or business class flight, since the difference is negligible

Non_Stop_Flights	one_Stop_flights
1587.82	1335.07
1388.65	1437.69
1612.18	1374.72
1787.87	1381.68
1378.55	1657.46
1340.6	1986.23
1336.57	1923.86
1507.75	2108.44
	1264.84
	1396.61

Answer 1

data <- read_excel("../Documents/Tutoring/Software/random data/flight.xlsx")
non_stop <- data$Non_stop
one_Stop <- data$one_stop

shapiro.test(non_stop)
shapiro.test(one_Stop)

t.test(non_stop,one_Stop,alternative = "less")

WN > data <- read_excel("../Documents/Tutoring/Software/random data/flight.xlsx") > head(data) # A tibble: 6 x 2 Non_stop one_stop <db 7> <db7> 1 1588. 1335. 2 1389. 1438. 3 1612. 1375. 4 1788. 1382. 5 1379. 1657. 6 1341. 1986. > non_stop <- data$Non_stop > one_Stop < dataSone_stop > qqnorm(non_stop) > shapiro.test(non_stop) Shapiro-wilk normality test data: non_stop W = 0.88922, p-value 0.2301 > shapiro.test(one_Stop) Shapiro-wilk normality test data: one_Stop W = 0.84024, p-value = 0.04442 > t.test(non_stop,one_Stop, alternative = "less") Welch Two Sample t-test data: non_stop and one_Stop t = -0.83108, df = 14.06, p-value = 0.2099 alternative hypothesis: true difference in means is less than 0 95 percent confidence interval: -Inf 105.3337 sample estimates: mean of x mean of y 1492.499 1586.660

a)
p-value of both tests are greater than 0.035
hence option C) is correct
b)
p-value for non_stop = 0.2301
p-value for one_stop = 0.0444

c)
option A) No

d)
p-value for left-tailed test = 0.2099