The manufacturer of hardness testing equipment uses​ steel-ball indenters to penetrate metal that is being tested.​ However, the manufacturer thinks it would be better to use a diamond indenter so that all types of metal can be tested. Because of differences between the two types of​ indenters, it is suspected that the two methods will produce different hardness readings. The metal specimens to be tested are large enough so that two indentions can be made.​ Therefore, the manufacturer uses both indenters on each specimen and compares the hardness readings. Construct a​ 95% confidence interval to judge whether the two indenters result in different measurements.

​Note: A normal probability plot and boxplot of the data indicate that the differences are approximately normally distributed with no outliers.

Specimen 1 2 3 4 5 6 7 8 9

Steel Ball 51 57 61 70 68 54 65 51 53

Diamond 53 56 61 74 69 55 68 51 56

Construct a​ 95% confidence interval to judge whether the two indenters result in different​ measurements, where the differences are computed as​ 'diamond minus steel​ ball'.

The uppper bound is _______?

The lower bound is _________?

The test statistic is __________?

The manufacturer of hardness testing equipment uses​ steel-ball indenters to penetrate metal that is being tested.​ However, the manufacturer thinks it would be better to use a diamond indenter so that all types of metal can be tested. Because of differences between the two types of​ indenters, it is suspected that the two methods will produce different hardness readings. The metal specimens to be tested are large enough so that two indentions can be made.​ Therefore, the manufacturer uses both indenters on each specimen and compares the hardness readings. Construct a​ 95% confidence interval to judge whether the two indenters result in different measurements.

​Note: A normal probability plot and boxplot of the data indicate that the differences are approximately normally distributed with no outliers.

Specimen   Steel ball   Diamond
1 50 52
2 57 55
3 61 63
4 70 74
5 68 69
6 54 55
7 65 68
8 51 51
9 53 56

Construct a​ 95% confidence interval to judge whether the two indenters result in different​ measurements, where the differences are computed as​ 'diamond minus steel​ ball'.

The lower bound is

The upper bound is

​(Round to the nearest tenth as​ needed.)

The manufacturer of hardness testing equipment uses​ steel-ball indenters to penetrate metal that is being tested.​ However, the manufacturer thinks it would be better to use a diamond indenter so that all types of metal can be tested. Because of differences between the two types of​ indenters, it is suspected that the two methods will produce different hardness readings. The metal specimens to be tested are large enough so that two indentions can be made.​ Therefore, the manufacturer uses both indenters on each specimen and compares the hardness readings. Construct a​ 95% confidence interval to judge whether the two indenters result in different measurements.

​Note: A normal probability plot and boxplot of the data indicate that the differences are approximately normally distributed with no outliers.

Specimen   Steel ball   Diamond
1   51   53
2   57   55
3   61   63
4   71   74
5   68   69
6   54   55
7   65   68
8   51   51
9   53   56

Construct a​ 95% confidence interval to judge whether the two indenters result in different​ measurements, where the differences are computed as​ 'diamond minus steel​ ball'.

The lower bound is __?__ .

The upper bound is __?__. ​

(Round to the nearest tenth as​ needed.)

I would like to know if the sex of a math student is a statistically significant factor in predicting average math exam scores. The following lists are exam scores for a math exam, separated by sex.

male 89 33 104 48 90 80 98 32 98 55 75 74 73 90 105 47 48 67 99 103 63

female 99 80 81 88 94 83 70 42 78 75

Perform a hypothesis test to determine whether the sex of a math student is statistically significant for performance on math tests. In other words, is there a statistically significant difference between the scores of these two groups of students?

(a) State the null and alternative hypotheses. Also, state the meaning of your parameters.

(b) Perform the test. Use α = .05. Show your work. Clearly indicate the value of the test statistic. Be sure to mention the value of df if it is relevant. Also, make sure you clearly state your final answer to the question above.

(c) Compute an appropriate 95% confidence interval that would confirm your final answer from part (b). Explain why it confirms that answer.

Consider the database of a car rental company that contains three tables drivers, cars and reservation tables.

Drivers:                                           Reservation:                              Cars:

1. Write DDL statements to create the tables

Drivers(Dno, Dname, age)

Reservation(Dno, Cno, Day)

Cars(Cno, Cmake, Color)

Where:

• no field could be empty except the age of the Driver.
• The company does not own more than one car from one maker     
• the colors of the cars should not be other than the following group (blue, white, red , green)

2. Write Queries for the following:
   1. Insert the sample data shown above into the tables

3. Write Queries for the following:
   1. Find the names of drivers who have reserved car no 103.
   2. Find the names of Drivers who have reserved red or Green cars.( use IN, UNION, =SOME/=ALL, and JION    each in separate query)For this segment, 4 responses are required, using the operations shown in parentheses
   3. Find the driver Dno of drivers with age over 20 who have not reserved a read car.
   4. Find the names of drivers who have reserved all cars.
   5. List the name of the drivers along with the day they rent cars in descending order
   6. List the name of the drivers whom rent more than 3 times along with the number of the times.
   7. Change the age of Alice to 18 years old
   8. Delete the information of the drivers younger than 20 years old

Consider the database of a car rental company that contains three tables drivers, cars and reservation tables.

Drivers:                                           Reservation:                              Cars:

1. Write DDL statements to create the tables

Drivers(Dno, Dname, age)

Reservation(Dno, Cno, Day)

Cars(Cno, Cmake, Color)

Where:

• no field could be empty except the age of the Driver.
• The company does not own more than one car from one maker     
• the colors of the cars should not be other than the following group (blue, white, red , green)

2. Write Queries for the following:
   1. Insert the sample data shown above into the tables

3. Write Queries for the following:
   1. Find the names of drivers who have reserved car no 103.
   2. Find the names of Drivers who have reserved red or Green cars.( use IN, UNION, =SOME/=ALL, and JION    each in separate query)For this segment, 4 responses are required, using the operations shown in parentheses
   3. Find the driver Dno of drivers with age over 20 who have not reserved a read car.
   4. Find the names of drivers who have reserved all cars.
   5. List the name of the drivers along with the day they rent cars in descending order
   6. List the name of the drivers whom rent more than 3 times along with the number of the times.
   7. Change the age of Alice to 18 years old
   8. Delete the information of the drivers younger than 20 years old

A person is both myopic and hyperopic. He can see objects clearly only if they are between 30.5 cmcm and 80.0 cmcm .

Part A

What power of contact lens is required to read at the normal near point of 25 cm?

Express your answer using three significant figures.

Part B

What power of contact lens is required to see a distant oobject clearly?

Express your answer using three significant figures.

Exothermic Vs. Endothermic Reaction

Reaction progress diagrams for single-step endothermic and exothermic reactions.

a. Devise a general statement about the relationship between Ea and the rate of a reaction. 


b. Describe the effect of temperature on the energy of collisions, and explain how this effect changes the rate of a reaction. 


c. State three things that resulted in an increase in the rate of the reaction. For each of the three things, explain at a molecular level what happens to cause the rate of the reaction to increase. 


A. Answer the following questions: Describe the two general roles of an operating system

and elaborate why these roles are important.

B. What is a process? What are attributes of a process?

C. Describe the three state process model, describe what transitions are valid between the

three states, and describe an event that might cause such a transition.

D. What is the function of the ready queue?

E.. What is the producer consumer problem? Give an example of its occurrence in operating

systems.

(1 point) The distribution of actual weights of 8-oz chocolate bars produced by a certain machine is normal with mean 8 ounces and standard deviation 0.13 ounces.

(a) What is the probability that the average weight of a bar in a Simple Random Sample (SRS) with three of these chocolate bars is between 7.9 and 8.16 ounces? ANSWER:

(b) For a SRS of three of these chocolate bars, what is the level L such that there is a 4% chance that the average weight is less than L? ANSWER: