The article "Plugged In, but Tuned Out"† summarizes data from two surveys of kids age 8 to 18. One survey was conducted in 1999 and the other was conducted in 2009. Data on number of hours per day spent using electronic media that are consistent with summary quantities given in the article are given below (the actual sample sizes for the two surveys were much larger). For purposes of this exercise, assume that it is reasonable to regard the two samples as representative of kids age 8 to 18 in each of the 2 years that the surveys were conducted.
2009   5   9   5   8   7   6   7   9   7   9   6   9   10   9   8
1999   4   5   7   7   5   7   5   6   5   6   7   8   5   6   6

(a)
Because the given sample sizes are small, in order for the two-sample t test to be appropriate, what assumption must be made about the distributions of electronic media use times?
o We need to assume that the population distribution in 1999 of time per day using electronic media are normal.
o We need to assume that the population distribution in 2009 of time per day using electronic media are normal.
o We need to assume that the population distributions in both 1999 and 2009 of time per day using electronic media are normal.
o We need to assume that the population distribution in either 1999 or 2009 of time per day using electronic media is normal.

Use the given data to construct graphical displays that would be useful in determining whether this assumption is reasonable. Do you think it is reasonable to use these data to carry out a two-sample t test?
o The boxplot of the 2009 data is roughly symmetrical with no outliers, so the assumption is reasonable.
o Both the boxplot of the 1999 data and the 2009 data are skewed to the right, so the assumption is not reasonable.
o The boxplot of the 1999 data is roughly symmetrical with no outliers, so the assumption is reasonable.
o Boxplots of the both the 1999 data and 2009 data are roughly symmetrical with no outliers, so the assumption is reasonable.
o The boxplot of the 1999 data has an outlier to the far right, so the assumption is not reasonable.

(b)
Do the given data provide convincing evidence that the mean number of hours per day spent using electronic media was greater in 2009 than in 1999? Test the relevant hypotheses using a significance level of 0.01. (Use a statistical computer package to calculate the P-value. Use μ2009 − μ1999. Round your test statistic to two decimal places, your df down to the nearest whole number, and your P-value to three decimal places.)
t   =  
df   =  
P-value   =  

State your conclusion.
o Reject H0. There is convincing evidence that the mean number of hours per day spent using electronic media was greater in 2009 than in 1999.
o Fail to reject H0. There is convincing evidence that the mean number of hours per day spent using electronic media was greater in 2009 than in 1999.
o Fail to reject H0. There is not convincing evidence that the mean number of hours per day spent using electronic media was greater in 2009 than in 1999.
o Reject H0. There is not convincing evidence that the mean number of hours per day spent using electronic media was greater in 2009 than in 1999.

(c)
Construct and interpret a 98% confidence interval estimate of the difference between the mean number of hours per day spent using electronic media in 2009 and 1999. (Use μ2009 − μ1999. Round your answers to two decimal places.)

_______ to _______ hours

Interpret the interval.
o We are 98% confident that the true difference in mean number of hours per day spent using electronic media in 2009 and 1999 is between these two values.
o We are 98% confident that the true mean number of hours per day spent using electronic media in 2009 is between these two values.
o We are 98% confident that the true mean number of hours per day spent using electronic media in 1999 is between these two values.
o There is a 98% chance that the true mean number of hours per day spent using electronic media in 2009 is directly in the middle of these two values.
o There is a 98% chance that the true difference in mean number of hours per day spent using electronic media in 2009 and 1999 is directly in the middle of these two values.

(everything bold needs an answer)

You just started your first full time job out of college. You recall from your finance course the importance of starting to save early for retirement. You plan on making deposits of $215 per pay check into a stock account and $130 per pay check into a bond account. You are paid every two weeks (26 pay checks per year). It is your plan to make these deposits for the next thirty-years. You expect that you will earn 8.75% per year on the stock account and 5.5% on the bond account. When you retire in thirty-years you plan on depositing the balance the money into a money-market account that you expect should pay 2%. How much could you withdraw monthly, and have the money last for the next thirty years?

You just started your first full time job out of college. You recall from your finance course the importance of starting to save early for retirement. You plan on making deposits of $215 per pay check into a stock account and $130 per pay check into a bond account. You are paid every two weeks (26 pay checks per year). It is your plan to make these deposits for the next thirty-years. You expect that you will earn 8.75% per year on the stock account and 5.5% on the bond account. When you retire in thirty-years you plan on depositing the balance the money into a money-market account that you expect should pay 2%. How much could you withdraw monthly, and have the money last for the next thirty years?

An educational psychologist wants to know if length of time and type of training affect learning simple fractions. Fifth graders were randomly selected and assigned to different times (from 1 to 3 hours) and different teaching conditions (old method vs. meaningful method). All students were then tested on the "fractions" subtest of a standard arithmetic test. What can the psychologist conclude with an α of 0.05?

a) What is the appropriate test statistic?
---Select--- na one-way ANOVA within-subjects ANOVA two-way ANOVA

b) Input the appropriate value(s) to make a decision about H₀.
Train: p-value = ___________ ; Decision:  ---Select--- Reject H0 Fail to reject H0
Time: p-value =___________   ; Decision:  ---Select--- Reject H0 Fail to reject H0
Interaction: p-value =___________   ; Decision:  ---Select--- Reject H0 Fail to reject H0


c) Using the SPSS results, compute the corresponding effect size(s) and indicate magnitude(s).
Train: η² =___________   ;  ---Select--- na trivial effect small effect medium effect large effect
Time: η² =  ___________ ;  ---Select--- na trivial effect small effect medium effect large effect
Interaction: η² =___________   ;  ---Select--- na trivial effect small effect medium effect large effect


d) Make an interpretation based on the results.

1)There is a training difference in learning fractions.

2)There is no training difference in learning factions.    

1)There is a time difference in learning fractions.

2)There is no time difference in learning fraction.    

1)There is a training by time interaction in learning fractions.

2)There is no training by time interaction in learning fractions.   

Pepper’s Products manufactures and sells two types of chew toys for pets, Squeaky and Silent. In May, Pepper’s Products had the following costs and revenues: Pepper's Products Income Statement For the Month of May Squeaky Silent Total Sales revenue $ 149,000 $ 170,000 $ 319,000 Direct materials 19,000 22,000 41,000 Direct labor 80,000 20,000 100,000 Overhead costs Administration 20,000 Production setup 45,000 Quality control 15,000 Distribution 20,000 Operating profit $ 78,000 Pepper’s Products currently uses labor costs to allocate all overhead but is considering implementing an activity-based costing system. After interviewing the sales and production staff, management decides to allocate administrative costs on the basis of direct labor costs but to use the following bases to allocate the remaining overhead: Activity Level Activity Cost Driver Squeaky Silent Setting up Number of production runs 10 20 Performing quality control Number of inspections 30 30 Distribution Number of units shipped 80,000 120,000 Required: a. Complete the income statement using the preceding activity bases. (Do not round intermediate calculations.) c. Restate the income statement for Pepper's Products using direct labor costs as the only overhead allocation base. (Do not round intermediate calculations.)

Is the crime rate in New York different from the crime rate in New Jersey? Independent random samples from region A (cities in New York) and region B (cities in New Jersey) gave the following information about violent crime rate (number of violent crimes per 100,000 population). (Reference: U.S. Department of Justice, Federal Bureau of Investigation.)

Use a 10% level of significance to test the claim that there is no difference in the crime rate distributions of the two states.

Find the P-value of the sample test statistic. (Use 4 decimal places.)

The following data represent annual percentage returns on Vanguard Total Bond Index for a sequence of recent years. This fund represents nearly all publicly traded U.S. bonds. (Reference: Morningstar Mutual Fund Analysis.)

Test the sequence for randomness about the median. Use α = 0.05.

Find the sample test statistic R, the number of runs.

1. Write a class Volume that stores the volume for a stereo that has a value between 0 and 11. Usage of the class is listed below the problem descriptions. Throughout the class you must guarantee that:
   1. The numeric value of the Volume is set to a number between 0 and 11. Any attempt to set the value to greater than 11 will set it to 11 instead, any attempt to set a negative value will instead set it to 0.
   2. This applies to the following methods below: __init__, set, up, down

You must write the following methods:

3. __init__ - constructor.   Construct a Volume that is set to a given numeric value, or, if no number given, defaults the value to 0.   (Subject to 0 <= vol <=11 constraint above.)
4. __repr__ - converts Volume to a str for display, see runs below.
5. set – sets the volume to the specified argument (Subject to 0 <= vol <=11 constraint above.)
6. get – returns the numeric value of the Volume
7. up – given a numeric amount, increases the Volume by that amount. (Subject to 0 <= vol <=11 constraint above.)
8. down – given a numeric amount, decreases the Volume by that amount. (Subject to 0 <= vol <=11 constraint above.)
1. __eq__ - implements the operator ==.   Returns True if the two Volumes have the same value and False otherwise.

use python 3.7

• by python

• Question #1 Consider a 5-point quiz system. A score can be any number between 0 and 5. Using mathematical interval notation, the score is in the interval [0,5][0,5]. The interval notation (4,5](4,5] means that number 4 is not in the interval. Hence the numbers included in this interval are all real values ?x such that 4<?≤54

• The score is graded according to the following scale:

• Write a program that reads a quiz score and then prints out the corresponding grade.

• Note that your program should

  1. Prompt the user of your program using an appropriate message.
  2. Check that the input is within range (from 0 to 5). If the wrong input is given, the program should ask the user for input again until he enters a valid input.
  3. Print an output message reading: “Your grade is ” followed by the grade.

• The following are two sample runs of the program:

• Sample Run 1:
  Please enter score: -1
  Invalid score. Try again.
  Please enter score: 5.5
  Invalid score. Try again.
  Please enter score: 3.5
  Your grade is B

• Sample Run 2:
  Please enter score: 5
  Your grade is A

Here is your assigned case problem: A 34-year-old woman came to the physician with a 2-month history of increasing weakness, persistent nonproductive cough, fever and chills accompanied by night sweats, and a 13-pound weight loss over a 6-month period. Results of chest radiographs and purified protein derivative test (for tuberculosis) were negative. The patient was treated with ciprofloxacin and her cough improved, but she continued to grow weaker and was able to consume only small quantities of food. The patient appeared pale and cachectic. Tenderness and fullness were present in the left upper quadrant, and the spleen was palpable below the umbilicus. No hepatomegaly or peripheral adenopathy was noted.

Her laboratory results were as follows:

WBCs—248 x 10^9/L

HGB—9.5 g/dl

HCT—26.3%

Platelets—449 x10^9/L

Segmented neutrophils—44%

Band neutrophils—4%

Lymphocytes—10%

Eosinophils—3%

Basophils—7%

Myelocytes—30%

Promyelocytes—1%

Myeloblasts—1%

Nucleated RBCs—2 per 100

WBCs Reticulocytes—3%

Leukocyte alkaline phosphatase (LAP) score—20

(reference range, 40 to 130)

Lactate dehydrogenase—692 IU

(reference range, 140 to 280 IU)

Uric acid—8.1 mg/dL (reference range, 4 to 6 mg/dL)

Questions:

1. What is the significance of the elevated WBC count and abnormal WBC differential?

2. How does the LAP score aid in the diagnosis?

3. What is your diagnosis based on the presented case ?

Suppose data were collected on the number of customers that frequented a grocery stores on randomly selected days before and after the governor of the state declared a lock down due to COVID 19. A sample of 6 days before the lockdown were chosen as well as 6 days randomly chosen after the lock down was in place. The number of shoppers each day were as follows:

This is interval/ratio data because they are characteristics of the days.

1. Can these results be generalized? To whom?
2. Can cause and effect statements be made? Explain.
3. Calculate accountable, unaccountable, and total variation. Show your work.
4. Eta square is accountable variation divided by total variation. Determine eta square. It is interpreted as the variation in the dependent variable that can be accounted for by the independent variable. Describe eta square in terms of this problem.