Do Americans trust advertisements? A survey asked Americans who view advertisements at least once a month how honest the advertisements that they see, read, and hear are. The results were:

1. Develop and populate a frequency and percentage table to show the number and percentage differences between areas of the country on their perspective of honesty in commercials.
2. Is there evidence of a significant difference among the areas of the country on their perspective of the honesty in commercials. Use the probability of 0.05.
3. Determine the p-value and interpret its meaning.
4. If appropriate, use the Marascuilo procedure and p=0.05 to determine which regions of the country differ.

Exam scores for a population were standardized with a population mean (µ) of 500 and a population standard deviation (σ) of 100 on both the Math and Verbal portions. The following questions refer to the Math portion;
a) A highly selective school decides that it will consider only applicants with a score in the top 5%. What will be the minimum score that you must have in order to be considered for admission to this school?
b) If 1 million students took the exam, how many of these students would be viable applicants to this school?
4a. The mean weight of 140 6th graders is 80 lbs with a standard deviation of 8 lbs. Calculate the standard error of the mean.
b. Using the mean and standard deviation from Q4a, calculate the proportion (percentage) of 7th graders that will have weights between 74 lbs and 84 lbs?

The data below are the final exam scores of 5 randomly selected calculus students and the number of hours they slept the night before the exam.

a) Draw scatterplot for the data.

b) Calculate the linear correlation coefficient to 3 decimal places.

(if you are unable to calculate the linear correlation coefficient, use .9 for part c,d and e)

c) Is there a linear relationship between the amount of sleep the student gets and the score on their exam. ( Justify your answer.Chart attached)

d) Determine the equation for the least squares regression line.

e) Predict the score of a student who studies 5 hours.

f) Interpret the slope and y-intercept of the least squares regression line

For the following assume the results of an exam has a mean of 75 and a standard deviation of 5.

1. Calculate the percentage of students that score above 75.

2. Calculate the percentage of students that score below 65.

3. Calculate the percentage of students that score above 80.

4. The genius people in the class get a score in the top 1%. Calculate the score of the genius people.

5. Calculate the scores that you need to be between to be in the middle 80%.

6. Calculate the value of μ-2σ and μ+2σ. If a number is above μ+2σ it is considered an unusual value. If a number is below μ-2σ it is also considered an unusual value. These unusual values are also known as statistically significant. Determine if 83, 85, 87, 55, 64, 70, and 74 are statistically significant

1. Describe the differences between the six classifications of pressure injuries. 2. How do you explain the fact that eschar must be removed before an injury can be accurately staged? 3. You are assigned to care for a 74-year-old male patient with a stage 3 pressure injury on his coccyx that is infected with methicillin-resistant Staphylococcus aureus (MRSA). You will need to irrigate the injury and apply a wet-to-damp dressing. You will also need to take the proper transmission-based precautions for MRSA in a wound. a. What makes a pressure injury classified as stage 3? b. How will you assess it for increasing or decreasing infection? c. How will you document the size and appearance of the wound? d. How will you apply the correct dressing for this wound?

1. The following table presents the balance sheet of bank A at the end of the financial year (in million pounds).

The net income for the year is 0.8134 million pounds. Answer the following questions:

1. Calculate and interpret the Return-on-Assets, Return-on-Equity, and Equity Multiplier ratios.   
2. Due to a severe economic crisis, mortgages worth £2 million default. Show how the balance sheet would look like after recoding this event.  
3. What is a ‘fire sale’ and how can it affect bank stability?   d. Explain the trade-off between liquidity and profitability and its importance in bank management.

Do all hypothesis testing steps and find the correlation coefficient for the following data to determine if there is a significant correlation between the results of IQ test and Test A scores. (A higher score on either tests = a “better” score”)

A.Also make a scatterplot (by hand) for this data. (IQ is X and Test Score is Y, also begin at 90 for X and 30 for Y)

B.Calculate the regression equation for predicting scores on the Y’(Reading test) variable.

C.Predict Y for X = 101

D.Predict Y for X = 97

                 Student          IQ scores         Test A score

1   34 92

2 39 94

3 44 96

4 49 98

5 54 100

6 59 102

7 64 104

8 69 106

9                 74 108

School boards in Nova Scotia, on average receive a budget of $623.00 per student from the provincial government. A random sample of 45 rural schools report that they received on average $605 per student with a standard deviation of $74. Is there a significant difference in the budgets between rural schools and the whole province? (20%)

This question is an example of statistical research using hypothesis testing. You will need to use the 5 step model of hypothesis testing to test for significance at a=.05.

• State assumptions

• State the null hypothesis and the alternative hypothesis
• State the appropriate hypothesis test for each question and determine your critical scores for testing significance at .05
• Calculate your test statistic making sure you show your formulas
• Interpret your results using complete sentences indicating is significance was determined

Data on the fuel economy of several 2010 model vehicles are given in the accompanying table. Complete parts​ (a) and​ (b) below.

​a) Find and interpret a​ 95% confidence interval for the gas mileage of 2010 vehicles. Select the correct choice below and fill in the answer boxes within your choice.

​(Round to two decimal places as needed. Use ascending​ order.)

A.One is​ 95% confident that the true mean gas mileage for cars like the ones in the sample is between __ mpg and ___mpg.

B.The true mean gas mileage for cars like the ones in the sample is between ___mpg and ___mpg​ 95% of the time.

C.​95% of all cars like the ones in the sample have gas mileages between ___mpg and ___ mpg

D.One is​ 95% confident that the gas mileage of a randomly selected car like the ones in the sample is between ___ mpg and ___ mpg

​b) Does this confidence interval capture the mean gas mileage for all 2010​ vehicles? Choose the correct answer below.

A.There is a​ 95% chance that this interval contains the true mean gas mileage for all 2010 vehicles.

B.Because the sample size is more than​ 10% of the​ population, the inferences drawn from the confidence interval are not valid.

C.Without knowing how the data were​ selected, one must be cautious about generalizing to all 2010 cars.

D.Assuming the population of 2010 gas mileages follows a Normal​ model, this confidence interval definitely captures the true mean.

Define for better understanding & give example. do not copy paste google answers of definitions.

1. What is the difference between a set and a list?

2. What is inheritance ?

3. Difference between a class and an object? How do classes relate to objecst?

4. How would you create an SQL table which makes use of customers information table and vehicle ownership over time? 5. How would you create a function that checks if a string is a palindrome?