Question

In: Math

Question 1 [25] Namibia Car Dealers wants to determine the number of defects per new car....

Question 1 [25]
Namibia Car Dealers wants to determine the number of defects per new car. Suppose you are asked to conduct the quality survey for cars, suppose you sampled 30 new cars and following data on number of defects per car were recorded.
0 1 1 2 1 0 2 3 2 1 0 4 3 1 1 0 2 0 0 2 3 0 2 0 2 0 3 1 0 2 a) Compute the sample mean number of defects per car [2] b) Compute the sample standard deviation [5] c) Compute the standard error of mean, assuming that ?̅ and s are equal to ? and ? respectively [2] d) Compute the probability that number of defects per car more than 1.5 [5] e) Draw the distribution in d. [3] f) Compute the probability that that number of defects per is between 1 and 2 [5] g) Draw the distribution in d. [3] vQuestion 1 [25]
Namibia Car Dealers wants to determine the number of defects per new car. Suppose you are asked to conduct the quality survey for cars, suppose you sampled 30 new cars and following data on number of defects per car were recorded.
0 1 1 2 1 0 2 3 2 1 0 4 3 1 1 0 2 0 0 2 3 0 2 0 2 0 3 1 0 2 a) Compute the sample mean number of defects per car [2] b) Compute the sample standard deviation [5] c) Compute the standard error of mean, assuming that ?̅ and s are equal to ? and ? respectively [2] d) Compute the probability that number of defects per car more than 1.5 [5] e) Draw the distribution in d. [3] f) Compute the probability that that number of defects per is between 1 and 2 [5] g) Draw the distribution in d. [3] vQuestion 1 [25]
Namibia Car Dealers wants to determine the number of defects per new car. Suppose you are asked to conduct the quality survey for cars, suppose you sampled 30 new cars and following data on number of defects per car were recorded.
0 1 1 2 1 0 2 3 2 1 0 4 3 1 1 0 2 0 0 2 3 0 2 0 2 0 3 1 0 2 a) Compute the sample mean number of defects per car [2] b) Compute the sample standard deviation [5] c) Compute the standard error of mean, assuming that ?̅ and s are equal to ? and ? respectively [2] d) Compute the probability that number of defects per car more than 1.5 [5] e) Draw the distribution in d. [3] f) Compute the probability that that number of defects per is between 1 and 2 [5] g) Draw the distribution in d. [3] vQuestion 1 [25]
Namibia Car Dealers wants to determine the number of defects per new car. Suppose you are asked to conduct the quality survey for cars, suppose you sampled 30 new cars and following data on number of defects per car were recorded.
0 1 1 2 1 0 2 3 2 1 0 4 3 1 1 0 2 0 0 2 3 0 2 0 2 0 3 1 0 2 a) Compute the sample mean number of defects per car [2] b) Compute the sample standard deviation [5] c) Compute the standard error of mean, assuming that ?̅ and s are equal to ? and ? respectively [2] d) Compute the probability that number of defects per car more than 1.5 [5] e) Draw the distribution in d. [3] f) Compute the probability that that number of defects per is between 1 and 2 [5] g) Draw the distribution in d. [3] Question 1 [25]
Namibia Car Dealers wants to determine the number of defects per new car. Suppose you are asked to conduct the quality survey for cars, suppose you sampled 30 new cars and following data on number of defects per car were recorded.
0 1 1 2 1 0 2 3 2 1 0 4 3 1 1 0 2 0 0 2 3 0 2 0 2 0 3 1 0 2 a) Compute the sample mean number of defects per car [2] b) Compute the sample standard deviation [5] c) Compute the standard error of mean, assuming that ?̅ and s are equal to ? and ? respectively [2] d) Compute the probability that number of defects per car more than 1.5 [5] e) Draw the distribution in d. [3] f) Compute the probability that that number of defects per is between 1 and 2 [5] g) Draw the distribution in d. [3] Question 1 [25]
Namibia Car Dealers wants to determine the number of defects per new car. Suppose you are asked to conduct the quality survey for cars, suppose you sampled 30 new cars and following data on number of defects per car were recorded.
0 1 1 2 1 0 2 3 2 1 0 4 3 1 1 0 2 0 0 2 3 0 2 0 2 0 3 1 0 2 a) Compute the sample mean number of defects per car [2] b) Compute the sample standard deviation [5] c) Compute the standard error of mean, assuming that ?̅ and s are equal to ? and ? respectively [2] d) Compute the probability that number of defects per car more than 1.5 [5] e) Draw the distribution in d. [3] f) Compute the probability that that number of defects per is between 1 and 2 [5] g) Draw the distribution in d. [3]

Solutions

Expert Solution

a) Compute the sample mean number of defects per car [2]
b) Compute the sample standard deviation [5]

Step 1 : Make a table as shown below to find the square of the defects.

c) Compute the standard error of mean, assuming that ?̅ and s are equal to ? and ? respectively

d) Compute the probability that number of defects per car more than 1.5 [5]
e) Draw the distribution in d

f) Compute the probability that that number of defects per is between 1 and 2 [5]
g) Draw the distribution in d.


Related Solutions

Belinda wants to buy a second-hand car and visits a number of car dealers before deciding...
Belinda wants to buy a second-hand car and visits a number of car dealers before deciding to purchase an as new 1998 Ford Mustang from American Car Sales. The sales person, Jaxson, tells Belinda that the car was manufactured in 1998 and had only done 54,000 kms. Three months later, Belinda has the Mustang serviced with her local mechanic who was a Mustang enthusiast. He comments on the fact that the car was in pretty good condition for a 1994...
Belinda wants to buy a second-hand car and visits a number of car dealers before deciding...
Belinda wants to buy a second-hand car and visits a number of car dealers before deciding to purchase an as new 1998 Ford Mustang from American Car Sales. The sales person, Jaxson, tells Belinda that the car was manufactured in 1998 and had only done 54,000 kms. Three months later, Belinda has the Mustang serviced with her local mechanic who was a Mustang enthusiast. He comments on the fact that the car was in pretty good condition for a 1994...
.Belinda wants to buy a second-hand car and visits a number of car dealers before deciding...
.Belinda wants to buy a second-hand car and visits a number of car dealers before deciding to purchase an as new 1998 Ford Mustang from American Car Sales. The sales person, Jaxson, tells Belinda that the car was manufactured in 1998 and had only done 54,000 kms. Three months later, Belinda has the Mustang serviced with her local mechanic who was a Mustang enthusiast. He comments on the fact that the car was in pretty good condition for a 1994...
.Belinda wants to buy a second-hand car and visits a number of car dealers before deciding...
.Belinda wants to buy a second-hand car and visits a number of car dealers before deciding to purchase an as new 1998 Ford Mustang from American Car Sales. The sales person, Jaxson, tells Belinda that the car was manufactured in 1998 and had only done 54,000 kms. Three months later, Belinda has the Mustang serviced with her local mechanic who was a Mustang enthusiast. He comments on the fact that the car was in pretty good condition for a 1994...
A manufacturer wants to compare the number of defects on the day shift with the number...
A manufacturer wants to compare the number of defects on the day shift with the number on the evening shift. A sample of production from recent shifts showed the following defects: Day Shift​​: 6​ 9​ 8​ 7​ 10​ 8 Evening Shift: ​​9​ 11​ 8​ 12​ 10​ 13​ 15​ 10 The objective is to determine whether the mean number of defects on the night shift is greater than the mean number on the day shift at the 95% confidence level. a)...
A manufacturer wants to compare the number of defects on the day shift with the number...
A manufacturer wants to compare the number of defects on the day shift with the number on the evening shift. A sample of production from recent shifts showed the following defects: Day Shift 6 9 8 7 10 8 Evening Shift 9 11 8 12 10 13 15 10 The objective is to determine whether the mean number of defects on the night shift is greater than the mean number on the day shift at the 95% confidence level. a)...
A manufacturer wants to compare the number of defects on the day shift with the number...
A manufacturer wants to compare the number of defects on the day shift with the number on the evening shift. A sample of production from recent shifts showed the following defects: Day Shift 5 8 7 6 9 7 Evening Shift 8 10 7 11 9 12 14 9 The objective is to determine whether the mean number of defects on the night shift is greater than the mean number on the day shift at the 95% confidence level. State...
A manufacturer wants to compare the number of defects on the day shift with the number...
A manufacturer wants to compare the number of defects on the day shift with the number on the evening shift. A sample of production from recent shifts showed the following defects: Day Shift                     5          8          7          6          9          7 Evening Shift              8          10        7          11        9          12            14        9 The objective is to determine whether the mean number of defects on the night shift is greater than the mean number on the day shift at the 95% confidence level....
A manufacturer wants to compare the number of defects on the day shift with the number...
A manufacturer wants to compare the number of defects on the day shift with the number on the evening shift. A sample of production from recent shifts showed the following defects: Day Shift 5 8 7 6 9 7 Evening Shift 8 10 7 11 9 12 14 9 The objective is to determine whether the mean number of defects on the night shift is greater than the mean number on the day shift at the 95% confidence level. State...
Motorola used the normal distribution to determine the probability of defects and the number of defects...
Motorola used the normal distribution to determine the probability of defects and the number of defects expected in a production process. Assume a production process produces items with a mean weight of 7 ounces. a. The process standard deviation is 0.10, and the process control is set at plus or minus 2 standard deviation s . Units with weights less than 6.8 or greater than 7.2 ounces will be classified as defects. What is the probability of a defect (to...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT