a large shipment of video streaming devices is accepted upon delivery if an inspection of 20 randomly selected video streaming devices yields no more than 1 defective item.

Find the probability that the shipment is accepted if 2% of the total shipment is defective.

Find the probability that the shipment is accepted if 10% of the total shipment is defective.

(Solve without using excel)

Example 16: A clinical psychologist compared the effectiveness of cognitive behavioral therapy (CBT) to the effectiveness of family therapy (FT) for treating women with anorexia nervosa. The psychologist randomly selected 28 women with anorexia nervosa. 17 of the 28 women were randomly assigned to CBT and the other 11 women were randomly assigned to FT. Each women's weight prior to therapy was subtracted from her weight 3 months after therapy/ Thus the greater the weight difference, the more effective the treatment. The mean weight difference and standard deviation were, respectively, 2.356 lbs and 5,889 lbs for the CBT sample and 8.199 lbs and 4.220 lbs for the FT sample/

P1: The set of weight differences if every woman on the planet with anorexia nervosa underwent CBT. The mean of this population is U1.

p2: The set of weight differences if every woman on the planet with anorexia nervosa underwent FT. The mean of this population is U2.

a) Using α = 0.01, what did the psychologist conclude? (i.e., perform an independent-samples t-test)

b) Construct a 99% confidence interval for the difference between the mean weight difference if every woman with anorexia nervosa underwent CBT and the mean weight difference if every woman with anorexia nervosa underwent FT.

c) Calculate Cohens' d.

A well-designed and safe workplace can contribute greatly to increasing productivity. It is especially important that workers not be asked to perform tasks, such as lifting, that exceed their capabilities. The following data on maximum weight of lift (MWOL, in kilograms) for a frequency of 4 lifts per minute were reported in a certain article:

28.3 39.1 28.8 24.3 29.7

Suppose that it is reasonable to regard the sample as a random sample from the population of healthy males, age 18-30. Do the data suggest that the population mean MWOL exceeds 27.5? Carry out a test of the relevant hypotheses using a .05 significance level.

Reject H0 OR Fail to reject H0

Please give me tough questions and the solutions about Maximum Likelihood Estimator (statistic for engineer) for my exam preparation

On Moodle, you will find a file “Data for Q2 Ass3” which has data on grades in past sections of this course. The variables are Assignment1 = Grade on Assignment 1 as a percentage Assignment2 = Grade on Assignment 2 as a percentage Assignment3 = Grade on Assignment 3 as a percentage Midterm = Midterm Grade as a percentage Project = Project Grade as a percentage Participation = Participation Grade as a number out of 5. AssignmentDum = A dummy variable equal to 1 for a given format for assignments and zero otherwise. F.Exam = Final Examination Grade out of 100. Use Excel to answer the following questions. Don’t forget to both attach computer output and provide a written answer. F.Exam should be your dependent variable.

(a) What is the estimated regression equation for the most general model for F.Exam?

(b) Test the overall significance of the model.

(c) Use the t-test to determine the significance of each independent variable. What is your conclusion at the 0.05 level of significance?

I really need to understand how to do this is excel please, if possible, take pictures of the steps you must do to solve this in Excel, I will rate immediately. Many thanks.

The National Football League (NFL) records a variety of performance data for individuals and teams. To investigate the importance of passing on the percentage of games won by a team, the following data show the average number of passing yards per attempt (Yards/Attempt) and the percentage of games won (WinPct) for a random sample of 10 NFL teams for the 2011 season.†

A) For the 2011 season, suppose the average number of passing yards per attempt for a certain NFL team was 6.4. Use the estimated regression equation developed in part (c) to predict the percentage of games won by that NFL team. (Note: For the 2011 season, suppose this NFL team's record was 8 wins and 8 losses. Round your answer to the nearest integer.)

B) For the 2011 season, suppose the average number of passing yards per attempt for a certain NFL team was 6.4. Use the estimated regression equation developed in part (c) to predict the percentage of games won by that NFL team. (Note: For the 2011 season, suppose this NFL team's record was 8 wins and 8 losses. Round your answer to the nearest integer.)

The Question I am needing assistance with is in BOLD BELOW. I will include the other aspects of this assignment for reference, as well as the table used/needed for these calculations.

Option #1: Critical Thinking: Quality at A1 Hotels

A1 Hotels operates luxury hotels throughout the world. Recently, motivated by some incidents that appeared in the news, they have been concerned about the quality of service. The company has been giving the following survey to its clients after their stay:

Any customer who answered “Poor” to at least one of the three questions above is considered to be “dissatisfied.” Traditionally, 40% of customers have been dissatisfied.

A1 Hotels would like to see if the recent level of customer satisfaction has changed. Therefore, 200 survey responses were recently chosen at random for analysis. The complete data set is in the file named Hotels.

Managerial Report

Prepare a report (see below) for A1 Hotels that summarizes your assessment of customer satisfaction. Be sure to include the following seven items in your report

Develop the 92% confidence interval for the proportion of all recent clients who answered “Poor” to service quality. Interpret what the confidence interval tells you about the proportion of all recent clients who answered “Poor” to service quality. What is the corresponding margin of error? How can the margin of error be decreased?

2. #7. Conduct a hypothesis test, using both the p-Value Approach and the Critical Value Approach, to determine if the proportion of all recent clients is more dissatisfied than the traditional level of dissatisfaction. Use α = 0.08 level of significance. Do not forget to include the correctly worded hypothesis and show all of the steps required to conduct the hypothesis test.
   1. What would be possible effects of a lower and then of a higher level of significance?
   2. What other hypothesis tests would you use to better understand hotel customer satisfaction?
   3. What advice would you give A1 Hotels based upon your analysis of the data?
   4. What is the magnitude of the improvement (if any)?
   5. How can this study be improved?

A random sample of 21 nickels in circulation were measured with a very accurate micrometer to find a mean of 0.834343 inch and a standard deviation of 0.001886 inch.

What is a 99% confidence interval for the standard deviation (correct to 4 decimal places) of all circulating nickels?

show work typed

Given two independent random samples with the following results:

n1=9 n2=14x

x‾1=180 x2=159

s1=18    s2=34

Use this data to find the 95% confidence interval for the true difference between the population means. Assume that the population variances are equal and that the two populations are normally distributed.

Copy Data

Step 1 of 3:

Find the critical value that should be used in constructing the confidence interval. Round your answer to three decimal places.

Step 2 of 3:

Find the standard error of the sampling distribution to be used in constructing the confidence interval. Round your answer to the nearest whole number.

Step 3 of 3:

Construct the 95%95% confidence interval. Round your answers to the nearest whole number.

For problems 7-8: A popular website places opinion poll questions next to many of its news stories. A participant simply clicks their response to join the sample. One of the questions in January 2008 was “Do you plan to diet this year?” More than 30,000 people responded, with 68% saying “yes.” 7. What type of bias would this poll represent? (Explain your answer) 8. What can you conclude? a. about 68% of Americans like to diet b. the results tell us little about the population because of bias c. the sample is too small to draw a conclusion

Please do in Rstudio

**4) Find an 80% confidence interval for the mean number of hands it takes to win a game of cards. "Cards" is a sample of the number of hands it took to win a game at a tournament in Preston Idaho**

```{r}
Cards<-c(18,10,10,12,13,16,17,14,15,10,13,16,18,19,19,18,16,15,13,14,19,12,11,11,15,13,10,19,15)

###Please do your work here###

##############################
```

**How would you interpret this confidence interval? Please type your answer on the line below**

Answer:

The state in which you live operates a lottery. The proceeds of the lottery are used to supplement the state’s unemployment insurance fund. You can play the lottery for $1 per chance. To play, you choose a three-digit number from 000 to 999, inclusive, and receive an official ticket with that number printed on it. Each evening, a ball is drawn blindly from a container that holds 1,000 balls, each marked with a different three-digit number. If the number on your ticket is selected in the daily drawing on the date you play, you receive $500 for your ticket. Otherwise, you receive nothing. a. Suppose you buy one ticket. What is the probability that your number will win? b. What is the expected utility (in dollars) of a single play? c. Suppose you decide to play three times in one day, and you choose the same numbers each time. (You hold three tickets at a cost of $3.) What is the expected utility (in dollars) of your triple play? d. Suppose you decide to play three times in one day, and you choose different numbers each time. What is the expected utility (in dollars) of this triple play?

For each case study, you will be provided a brief overview, the actual problem, and the steps to follow on Minitab. Each case study will require you to follow the five step hypothesis testing process in addition to providing the computer output AND templated results.

Case Study 1: Applying a Completely Randomized Design (Detecting Changes in Salaries)

That the starting salaries of new accounting graduates would differ according to geographic regions of the United States seems logical. A random selection of accounting firms is taken from three geographic regions, and each is asked to state the starting salary for a new accounting graduate who is going to work in auditing. The data obtained follow. Use a one-way ANOVA to analyze these data. Note that the data can be restated to make the computations more reasonable (example: $42,500 = 4.25). Use a 1% level of significance. Discuss the business implications of your findings. Please provide the 5 steps for both the main effect and the post-hoc test (if required), the Minitab output for each hypothesis test, and state the business implication based upon your analysis. You must use Minitab and the 5 step hypothesis testing process.

South                Northeast                      West

40,500              51,000                          45,500

41,500              49,500                          43,500

40,000              49,000                          45,000

41,000              48,000                          46,500

41,500              49,500                          46,000

APA style:

An one way analysis of variance showed that the effect of noise was significant, F(3,27) = 5.94, p = .007. Post hoc analyses using the Tukey post hoc criterion for significance indicated that the average number of errors was significantly lower in the white noise condition (M = 12.4, SD = 2.26) than in the other two noise conditions (traffic and industrial) combined (M = 13.62, SD = 5.56), F(3, 27) = 7.77, p = .042.

Solve the following linear programming problem using Solver. Be sure to write in your optimal solution below the problem.

Max Z = 20X1 + 30X2 + 25X3 + 32X4

s.t. 4X1 + 8X2 + 5X3 + 6X4 ≤ 40

X1 + X2 ≥ 3

(X1 + X2) ≤ (X3 + X4)

x1/x2 ≥ 3/2

X1 = __________X2 = ___________X3 = ___________X4 = ___________Z = ____________