The data set EF1.SAV contains percentages of fractional fraction, made by 34 subjects in an imaginary clinical study. The efficacy fraction (EF) was calculated before and after treatment, given with the baseline and post variables, while ID is patient number.

1- Check if Baseline is a normally distributed variable.

2- Calculate average and standard deviation for Baseline, and find a 95% confidence interval for the Baseline average.

3- Repeat Points 1 and 2 for the Post variable.

4- Is there a significant difference between the Baseline and Post average? Make an analysis based on both confidence and p-value.

5- Write a short summary of what you found.

A researcher who has not had any course in statistics analyzes the same data using a two-sample method. He considers the data from before and after treatment as if they came from two random sample of patients.

Here you can use the dataset ef2.sav; The data represents the ejaculation fraction before and after a treatment. The measurements are the same as in ef1.sav, but the data structure is slightly different and the ID variable has been removed.

6- Perform the test performed by the researcher. What conclusion do you get? Compare these conclusions you received when analyzing the data in point 4.

7- What's wrong with this method? Why do you get different conclusions when using the two different methods? Consider this based on the effectiveness goals and the uncertainty of the effect goals you get when using the two methods.

EF1 SPSS FILES

ID

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34

BASELINE

55
54
57
47
54
57
62
54
51
51
59
47
54
54
53
54
56
59
55
57
58
51
42
58
55
61
54
58
55
57
54
60
48
55

Post baseline

60
54
59
48
54
59
64
53
52
50
61
45
54
55
54
57
57
62
57
57
59
55
42
61
57
64
56
59
57
60
55
59
49
55

THESE THREE SPSS VARIABLES ID, BASELINE AND POST BASELINE, ARE PART OF EF1 FILE

EF2 SPSS FILE

TIME

1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2

EF (ejection fraction)

54
57
47
54
57
62
54
51
51
59
47
54
54
53
54
56
59
55
57
58
51
42
58
55
61
54
58
55
57
54
60
48
55
60
54
59
48
54
59
64
53
52
50
61
45
54
55
54
57
57
62
57
57
59
55
42
61
57
64
56
59
57
60
55
59
49
55

THESE TWO VARIABLES, TIME AND EF(ejection fraction) ARE PART OF EF2 SPSS FILE.

An eating disorders clinic would like to assess the efficacy of their 10-week mindfulness training program with clients who have Binge Eating Disorder (BED). The clinic researchers first measured the number of binges in the previous week for 16 clients through self-report. One month after the mindfulness training sessions were conducted, the clients were again asked to report the number of binges in the last week. The data are listed in the table below. The clinic researchers have set the significance level at α = .05. # of Binges per week Subject Before Training After Training

Part I. (25 points total) a) Identify the outcome (dependent) variable and the independent variable (that differentiates the two populations being compared). What are the “samples” in this paired-samples t test? (Or, what are the “means” in this dependent-means t test?) (1 point) b) The clinic researchers predict the number of binges per week will decrease after the mindfulness training. In other words, the researchers believe the mindfulness training will be helpful in reducing binge eating. What would be the null and alternative hypotheses in both words and symbol notations? c) Calculate the difference scores by subtracting the “before” scores from the “after” scores. (In other words, set up the columns to calculate after minus before.) Create a table below for “difference score.” d) Calculate the mean from the sample of the difference scores. e) Estimate the standard deviation of the comparison population (that represents the null hypothesis). f) Calculate the standard error (standard deviation of the sampling distribution). g) Calculate the t statistic for the sample. h) Because the hypotheses are directional, a one-tailed test can be performed. Determine the critical t value based on the degrees of freedom and the preset alpha level. Compare the t statistic with the critical t value. Is the calculated t statistic more extreme or less extreme than the critical t value? Then make a decision about the hypothesis test, stating explicitly “reject” or “fail to reject” accordingly. i) Interpret the result in 1-2 sentences (you may restate the hypothesis accepted or explain it in your own words). ( a) Calculate the raw and standardized effect size of this hypothesis test. The clinic researchers could also set up the hypothesis to see if there are any differences (increases or decreases) in binge eating behavior after mindfulness training. a) What would be the null and alternative hypotheses for this alternative analysis? Compose them in symbol notations only. b) Since a non-directional hypothesis is examined with a two-tailed test, determine the critical t values for the two-tailed test using the same alpha level and degree of freedom. c) Compare the t statistic with the critical t values. Is the calculated t statistic more extreme or less extreme than the critical t value? What is the decision of the hypothesis test now? d) Was the two-tailed test result (Part II) different from the one-tailed test result (from Part I)? Why or why not?

An engineering group needs to set up an assembly line to produce a new product. The following table describes the relationships between the activities, their predecessors, and the estimated activity times (in weeks) for this project. (10 points)

1. Using this data, develop a network for this project.
2. Identify the critical path and determine the expected time of completion of the project.
3. Prepare the detailed activity schedule for this project (i.e., provide a table showing EST, EFT, LST, LFT, Slack, critical path?).
4. Determine the probability that the project will be completed in:

1. Less than 42 weeks
2. Greater than 35 weeks
3. Between 42 to 44 weeks
4. Greater than 40 weeks

Let Q1=y(1.1), Q2=y(1.2), Q3=y(1.3), where y=y(x) solves...

1) y'''+2y''-5y'- 6y=4x^2 where y(0)=1, y'(0)=2, y''(0)=3

2) y'''- 6y''+11y'- 6y=6e^(4x) where y(0)=4, y'(0)=10, y''(0)=30

3) y''- 6y'+9y=4e^(3x) ln(x) where y(1)=, y'(1)=2

Please show all steps and thank you!!!

Planning a festival. The Earth Day Committee has begun planning for an Earth Day festival. We list the subtasks for this project and the dependencies among them in the following table. Draw a PERT diagram for this project and construct a schedule for the tasks.

Borrow $85,000 at a rate if 9% annual with weekly compounding. What’s the EAR?

1. 9.38%

2. 9%

3. 9.41%

4. 8.62%

Give brief definitions of the following terms: (1) call provision; (2) secured debt; (3) yield to maturity; (4) convertible provision

discuss the following methods of resolution of enantiomers with examples.
1 conversion to diastereomers
2 differential absorption
3 deracemization
4 mechanical separation

1. Fundamentals of Heat Transfer:

2. Use of steam table:

3. team table are generally used

4. Heating value of hydrocarbons.