Steps to Complete the Week 6 Lab Find this article in the Chamberlain Library. Once you click each link, you will be logged into the Library and then click on "PDF Full Text". First Article: Confidence Intervals, ( I copied and pasted both articles at the bottom of this question).

1. Consider the use of confidence intervals in health sciences with these articles as inspiration and insights.

2. Describe how you could use confidence intervals to help make a decision or solve a problem in your current job, a clinical rotation, or life situation. Include these elements: Description of the decision or problem

3. How the interval would impact the decision and what level of confidence would be most appropriate and why What data would need to be collected and one such method of how such data could ideally be collected

Articles to use:

Confidence interval: The range of values, consistent with the data, that is believed to encompass the actual or “true” population value Source: Lang, T.A., & Secic, M. (2006). How to Report Statistics in Medicine. (2nd ed.). Philadelphia: American College of Physicians

Confidence interval: The range of values, consistent with the data, that is believed to encompass the actual or "true" population value Source: Lang, T.A., & Secic, M. (2006). How to Report Statistics in Medicine. (2nd ed.). Philadelphia: American College of Physicians

Hope this information helps:

1. Consider the use of confidence intervals in health sciences with these articles as inspiration and insights.
2. Describe how you could use confidence intervals to help make a decision or solve a problem in your current job, a clinical rotation, or life situation. Include these elements:
   1. Description of the decision or problem
   2. How the interval would impact the decision and what level of confidence would be most appropriate and why
   3. What data would need to be collected and one such method of how such data could ideally be collected

These are the articles provided for the homework:

To draw conclusions about a study population, researchers use samples that they assume truly represent the population. The confidence interval (CI) is among the most reliable indicators of the soundness of their assumption. A CI is the range of values within which the population value being studied is believed to fall. CIs are reported in the results section of published research and are often calculated either for mean or proportion data (calculation details are beyond the scope of this article). A 95% CI, which is the most common level used (others are 90% and 99%), means that if researchers were to sample numerous times from the same population and calculate a range of estimates for these samples, 95% of the intervals within the lower and upper limits of this range will include the population value. To illustrate the 95% CI of a mean value, say that a sample of patients with hypertension has a mean blood pressure of 120 mmHg and that the 95% CI for this mean was calculated to range from 110 to 130 mmHg. This might be reported as: mean 120 mmHg, 95% CI 110-130 mmHg. It indicates that if other samples from the same population of patients were generated and intervals for the mean blood pressure of these samples were estimated, 95% of the intervals between the lower limit of 110 mmHg and the upper limit of 130 mmHg would include the true mean blood pressure of the population. Notice that the width of the CI range is a very important indicator of how reliably the sample value represents the population in question. If the CI is narrow, as it is in our example of 110-130 mmHg, then the upper and lower limits of the CI will be very close to the mean value of the sample. This sample mean value is probably a more reliable estimate of the true mean value of the population than a sample mean value with a wider CI of, for example, 110-210 mmHg. With such a wide CI, the population mean could be as high as 210 mmHg, which is far from the sample mean of 120 mmHg. In fact, a very wide CI in a study should be a red flag: it indicates that more data should have been collected before any serious conclusions were drawn about the population. Remember, the narrower the CI, the more likely it is that the sample value represents the population value.

Part 1, which appeared in the February 2012 issue, introduced the concept of confidence intervals (CIs) for mean values. This article explains how to compare the CIs of two mean scores to draw a conclusion about whether or not they are statistically different. Two mean scores are said to be statistically different if their respective CIs do not overlap. Overlap of the CIs suggests that the scores may represent the same "true" population value; in other words, the true difference in the mean scores may be equivalent to zero. Some researchers choose to provide the CI for the difference of two mean scores instead of providing a separate CI for each of the mean scores. In that case, the difference in the mean scores is said to be statistically significant if its CI does not include zero (e.g., if the lower limit is 10 and the upper limit is 30). If the CI includes zero (e.g., if the lower limit is -10 and the upper limit is 30), we conclude that the observed difference is not statistically significant. To illustrate this point, let's say that we want to compare the mean blood pressure (BP) of exercising and sedentary patients. The mean BP is 120 mmHg (95% CI 110-130 mmHg) for the exercising group and 140 mmHg (95% CI 120-160 mmHg) for the non-exercising group. We notice that the mean BP values of the two groups differ by 20 mmHg, and we want to determine whether this difference is statistically significant. Notice that the range of values between 120 and 130 mmHg falls within the CIs for both groups (i.e., the CIs overlap). Thus, we conclude that the 20 mmHg difference between the mean BP values is not statistically significant. Now, say that the mean BP is 120 mmHg (95% CI 110-130 mmHg) for the exercising group and 140 mmHg (95% CI 136-144 mmHg) for the sedentary group. In this case, the two CIs do not overlap: none of the values within the first CI fall within the range of values of the second CI. Thus, we conclude that the mean BP difference of 20 mmHg is statistically significant. Remember, we can use either the CIs of two mean scores or the CI of their difference to draw conclusions about whether or not the observed difference between the scores is statistically significant.

On December 31, 2016, Gary Company had 50,000 shares of common stock outstanding for the entire year. On March 1, 2017, Gary purchased 2,400 shares of common stock on the open market as treasury stock paying $45 per share. Gary sold 600 of the treasury shares on June 1, 2017, for $47 per share. Gary issued a 10% common stock dividend on 7/2/2017.

In addition, Gary had 3,000 shares of 9%, $50 par value, noncumulative convertible preferred stock outstanding at December 31, 2016. Preferred dividends for 2017 amounted to $13,500. Each convertible preferred stock can be converted into two shares of common stock. No convertible preferred stock had been converted by 12/31/2017.

Net income for 2017 was $180,905. The income tax rate is 30%. Other relevant information is as follows:

Outstanding at December 31, 2016, were stock option giving key personnel the option to buy 20,000 (adjusted for the stock dividends) common shares at $40. During 2017, the average market price of the common shares was $50 (adjusted for the stock dividends on December 31, 2017. No stock option was exercised during the year.

$100,000, 9% bonds were issued at a premium on December 20, 2016. None of the bonds had been converted by December 31, 2017. Bond interest expense of $8,700 was recorded in 2017. The premium is being amortized at $300 in 2017. Each $1,000 bond is convertible into 20 shares of common stock.

$500,000 of 8% bonds was issued at a discount on October 10, 2016. None of the bonds had been converted by December 31, 2017. Each $1,000 bond is convertible into 24 shares of common stock.

(a)Compute the weighted average shares of 2017 for Gary Company.

(b)Compute the basic and diluted earnings per share of 2017 for Gary company

Graeter’s is thinking about expanding its ice cream flavors. They have created three new flavors of ice cream: (1) Lemon Merengue Pie, (2) Butterscotch, and (3) Banana Cream Pie. They recruit 18 people to participate in their study, and they assign each participant to taste-test one of their new ice cream flavors. After tasting the flavor, participants rate their likelihood of ordering that ice cream flavor on their next trip to Graeter’s, using a scale from 1 (I definitely wouldn’t order this flavor) to 10 (I definitely would order this flavor). The data is as follows:

For this problem, complete the following steps. You must show ALL OF YOUR WORK to receive credit for this problem.(21 pts.)

(1) Identify the two hypotheses. (2 pts.)

(2) Determine the critical region for your decision (use α = 0.05). (3 pts.)

(3) Compute the test statistic. (8 pts.)

(4) Use the test statistic to make a decision and interpret that decision. (1 pt.)

(5) If needed, conduct a post hoc test. (5 pts.)

(6) Compute and interpret η2 as a measure of the effect size.(2 pts.)

1. You are purchasing a special equipment for military use. The supplier reveals its cost structure as follows:

Material cost = $40 per unit

Labor hours = 10 per unit for the first unit, Labor cost = $10/hour

List the material and labor cost and labor + material cost for the first 8 units when the supplier utilizes a learning curve of 85%.

PLEASE PROVIDE THE FORMULA SO I ACTUALLY KNOW HOW TO DO THIS STUFF.

Need IN JAVA

Please DO NOT COPY AND PASTE old solutions

WILL UPVOTE

The Babysitters Club Employment Agency has decided to computerize their payroll. A babysitter earns a specific fee per hour until 9:00 PM (while the children are awake and active), a lower rate between 9:00 PM and midnight (after bedtimes and the babysitter can study), and a higher fee after midnight (when babysitting cuts into prime sleeping time).

They maintain two datafiles are one for the employees and one for their data   

Personnel data file

employee no.

lastname, firstname

street address

city, state zipcode

hourly rate before 9:00 PM         hourly rate between 9:00 PM and midnight         hourly rate after midnight

¼

Payroll data file

employee no.

number of days employed

starting time and ending time for each day

¼

Write a program that reads the starting time and ending times (in hours and minutes) for a babysitter and computes the babysitter’s fee. Assume all times are between 6:00 PM and 6:00 AM.

Your output should consist of an alphabetical list (by last name) of each babysitter and their pay.

Be sure to use the structured programming techniques you have learned in prior classes. Namely, use methods  and maximize legibility by using proper indentation, spacing, and comments. Do not forget to provide program documentation.

The Data below is the data you should use to do the assignment

Personnel file Data

0001

McGill, Stacey

231 Maple Avenue

Stoneybrook, Connecticut 30122

5.50    4.00    6.00

0002

Spier, Maryann

401 Orange Lane

Stoneybrook, Connecticut 30122

10.00  8.00    15.00

0003

Thomas, Kristy

222 Blossom Blvd.

Stoneybrook, Connecticut 30122

5.00    4.00    6.00

0004

Schafer, Dawn

131 Apple Gardens

Stoneybrook, Connecticut 30122

4.00    3.00    5.00

0005

Pike, Mallory

656 Brook Lane

Stoneybrook, Connecticut 30122

1.75    1.00    1.25

0006

Ramsey, Jessi

545 Greenleaf Street

Stoneybrook, Connecticut 30122

10.00  10.00  10.00

0007

Kishi, Claudia

303 Ginger Blvd.

Stoneybrook, Connecticut 30122

5.00    2.50    7.50

Payroll file data

0001

2

8:00   10:00

9:00    11:30

0002

1

6:00    2:00

0003

2

8:00   10:00

9:00    11:30

0004

3

9:30    1:00

6:00    9:00

7:15    8:15

0005

2

7:00    5:30

6:00    1:45

0006

3

9:30    1:00

7:00    9:00

1:15    3:15

0007

2

7:00    3:30

9:00    1:45

Video games are rather complicated to program, not least of which because of the graphics work that needs to be completed to finish a video game. Still, even relatively simple games have historically had a chance of becoming popular (e.g. Tetris®). Since you are learning to program for the first time, let's look at a text-only game.

Write a program that has the computer generate a pseudorandom integer between -100 and +100, and ask the user to guess what the number is. To generate the pseudorandom number, research and use the randi command. If the user's guess is higher than the computer-generated pseudorandom number, print a statement to that effect. If the user's guess is lower than the computer-generated pseudorandom number, print a statement to that effect. Keep track of how many guesses it takes for the user to guess the right number, and print that information to the screen when the program terminates. Do not re-initialize the computer-generated pseudorandom number between iterations, otherwise the user will have a hard time trying to guess the computer-generated pseudorandom number.

Validate the user's input; if the user enters a number greater than 100 or less than -100, prompt the user to enter a number within the guess range. Do not count guesses out of range (i.e. greater than 100 or less than -100) as an iteration. Do not concern yourself with testing if the user entered non-numeric input, and assume that the user will enter an integer value. If the user enters the value inf, terminate the program (though count that iteration as a valid iteration for the purposes of seeing how many times the program iterated).

Use no more than two while loops to solve this problem, and emulate the output format in these two sample runs:

Sample Run #1 (with a computer-generated value of 9):

Enter your guess: 8
Sorry, your guess was too low. Please try again.

Enter your guess: 10
Sorry, your guess was too high. Please try again.

Enter your guess: 9

You guessed the correct value!

The correct value was 9.
The program iterated 3 times.

Sample Run #2 (with a computer-generated value of -3):

Enter your guess: 100
Sorry, your guess was too high. Please try again.

Enter your guess: -100
Sorry, your guess was too low. Please try again.

Enter your guess: inf

You asked to terminate the program.

The correct value was -3.
The program iterated 3 times.

Suppose Ford Motor Company sold an issue of bonds with a 10-year maturity, a $1000 par value, a 10 percent coupon rate, and semiannual interest payments.

a) Two years after the bonds were issued, the going rate of interest on bonds such as these fell to 6 percent. At what price would the bonds sell?

b) Suppose that, two years after the initial offering, the going interest rate had risen to 12 percent. At what price would the bonds sell?

c)Suppose that conditions in part A existed - That is, interest rates fell to 6 percent two years after the issue date. Supose further that the interest rate remained at 6 percent for the next eight years. Describe what would happen to the price of Ford Motor Company bonds over time.

Please explain with detail... I'm a little bit lost in this class.

Klein Company distributes a high-quality bird feeder that sells for $30 per unit. Variable costs are $12 per unit, and fixed costs total $279,000 annually.

Required:

Answer the following independent questions:

1. What is the product’s CM ratio?

2. Use the CM ratio to determine the break-even point in sales dollars.

3. The company estimates that sales will increase by $63,000 during the coming year due to increased demand. By how much should operating income increase?

4. Assume that the operating results for last year were as follows:

a. Compute the degree of operating leverage at the current level of sales.

b. The president expects sales to increase by 12% next year. By how much should operating income increase?

5-a. Refer to the original data. Assume that the company sold 30,000 units last year. The sales manager is convinced that a 12% reduction in the selling price, combined with a $67,000 increase in advertising expenditures, would cause annual sales in units to increase by 20%. Prepare two contribution format income statements, one showing the results of last year’s operations and one showing what the results of operations would be if these changes were made. (Round "Per Unit" answers to 2 decimal places.)

5-b. Would you recommend that the company do as the sales manager suggests?

multiple choice

• Yes

• No

6. Refer to the original data. Assume again that the company sold 30,000 units last year. The president feels that it would be unwise to change the selling price. Instead, he wants to increase the sales commission by $5 per unit. He thinks that this move, combined with some increase in advertising, would increase annual unit sales by 50%. By how much could advertising be increased with profits remaining unchanged? Do not prepare an income statement; use the incremental analysis approach.