SAFMEDS Week Seven ABA 634
docx
School
National University *
*We aren’t endorsed by this school
Course
634
Subject
Statistics
Date
Feb 20, 2024
Type
docx
Pages
3
Uploaded by MajorUniverse10494
SAFMEDS Week Seven ABA 634:
Figure 1.1 Yasamin Rezaei’s ABC Acquisition Standard Celeration Chart
Chart 1.1 Yasamin Rezaei’s ABC Acquisition Raw Data
Chart 2. 1 Fluency Application Deck Report Chart 2. 2 Fluency Application Deck Report Timeline
Data Analysis
Figure 1.1 displays the data collected for Jan 22th –Jan 26
th
while studying deck 3 of the
SAFMEDS for ABA 634. Acquisition accel data over the week shows an upward trend with
moderate variability. The last accel data point of the week was at 15, indicating that I have met
the AIM for deck 3. Acquisition decel data is present with a moderate variability and decreasing
trend.
Figure 2.1 displays the fluency data collected for the week of January 22
th
to January 26
th
. As
shown above, fluency accel is stays at a high level with low variability, indicating that fluency is
maintained. Fluency decel is present at a low level with low variability. Study Approach and Adjustments
Antecedent: My current study plan has shown effectiveness over the multiple decks and
methods. I reduced my study time to 30 minutes this week because of my life situation. This
week, I took my iPad to work and studied at lunch. The first step was to set my weekly goal of
15 accel within deck 3, then determine my reinforcer for week seven if reaching the AIM was
met by Friday. Current reinforcement procedures include one: being reinforced by finishing my
SAFMEDS on time and entering the data the same night by celebrating my hubby’s birthday. If I
meet my daily goal by Friday morning, I can reinforce myself by having brunch with my friend. Other antecedent procedures include using auditory recording. I record myself saying the front
of each card, pausing for 3 seconds, and then saying the back. Then, when listening to the
auditory recording while driving, I attempt to “fill in” the term on the back before I read it.
Additional procedures include making flashcards, writing the answers on blank cards, reading
them out loud 5 days per week for 15 minutes, and taking them with me when I go to work.
This procedure should be easy for anyone to use. Behavior: Five days per week, I run five 30-second timings for my acquisition deck, then shuffle between each timing, and enter the best data point into Precision X. For my fluency deck, I run three 30-second timings and enter the best data point into Precision X. This is done for a minimum of 5 days. Consequence: I enter the data on precision X after my 30-second timing to keep track of
recording my data. The following week, I’m looking at the data and deck to see if I meet the
AIM by the end of the week or if there is variability in the data. This week’s acquisition accel
data has low variability and did meet the AIM line. This week’s acquisition accel data has low
variability and decel with zero trend. For decel cards, an additional 30 minutes of studying is
performed. I did access my terminal reinforcer because I met the AIM. Adjustment: There is no adjustment needed for this week’s acquisition deck.
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
Related Documents
Related Questions
2) The projected number of navigation systems (in millions) installed in vehicles in North America, Europe and Japan from 2012 to 2016 are shown in the following table
Year
2012
2013
2014
2015
2016
Systems Installed
3.9
4.7
5.8
6.8
7.8
a) Draw a scatter diagram for this data. Use “Years since 2012” on the x-axis. Make sure the scatter diagram includes all required elements (axes labels, title, and appropriate scale)b) Use the points for 2013 and 2015 to find an equation of a line modeling this situationc) Use linear regression to find an equation of a line modeling this situationd) Use the equation in b to predict number of systems sold in 2018 and do this again for the equation in part c. What is the absolute and percentage difference between the two equations (use the equation in c as the base equation in the % calculation)e) Now use extrapolation using the last two data points to make a prediction for 2018f) Which method, in your opinion, is optimal to use in this case
arrow_forward
kgiba05h_ch10.05
State cancer registry data for colorectal cancer:
Total
Males
Females
Population
1,570,000
780,000
790,000
Newly diagnosed cases
793
415
378
Residents with "history of"
12,548
6,983
5,665
Calculate:
a. State prevalence of colorectal cancer in males (per 10,000) (compute to one decimal place)
b. State incidence of colorectal cancer in females (per 10,000) (compute to two decimal places)
Icon Key
arrow_forward
Exhibit 11-2
Last school year, the student body of a local university consisted of 30% freshmen, 24% sophomores,
26% juniors, and 20% seniors. A sample of 300 students taken from this year's student body showed the
following number of students in each classification.
Freshmen
83
Sophomores
68
Juniors
85
Seniors
64
We are interested in determining whether or not there has been a significant change in the classifications
between the last school year and this school year.
Refer to Exhibit 11-2. The hypothesis is to be tested at the 5% level of significance. The critical value
from the table equals
О а.7.815
b. 1.645
с. 2.75
n d.1.96.
arrow_forward
Product Information for 10 Tablet Computers
Operating Display Size
System
Cost
Battery Life
(hours)
CPU
Manufacturer
Tablet
($)
(inches)
Acer Iconia W510
599
Windows
10.1
8.5
Intel
Amazon Kindle Fire HD
299
Android
8.9
TI OMAP
Apple iPad 4
499
IOS
9.7
11
Аpple
HP Envy X2
860
Windows
11.6
Intel
Lenovo ThinkPad Tablet
668
Windows
10.1
10.5
Intel
Microsoft Surface Pro
899
Windows
10.6
4
Intel
Motorola Droid XYboard
530
Android
10.1
TI OMAP
Samsung Ativ Smart PC
590
Windows
11.6
Intel
Samsung Galaxy Tab
525
Android
10.1
10
Nyidia
Sony Tablet S
360
Android
9.4
Nvidia
(a) What is the average cost for the tablets?
$ 582.9
(b) Compare
average cost of tablets with a Windows operating system to the average cost of tablets with an Android operating system.
The average cost of a tablet with a Windows operating system is s
The average cost of a tablet with an Android operating system is $
Thus we see tablets with Windows operating systems cost-Select- than tablets with an Android operating system,…
arrow_forward
Please help. Thank you. CSV file data is below.
TSERofReturn
AcmeRofReturn
-1.99167
-1.03712
2.64815
3.04528
-0.58856
0.44802
-0.76395
0.60781
-0.81178
2.51735
-0.14212
1.70972
0.17677
-0.27609
0.54349
1.18672
-0.09428
0.49632
0.3681
-3.08347
0.60727
1.4182
1.3726
0.1878
-0.8915
-1.81699
1.8031
0.975
-0.26967
1.85853
2.42493
2.33005
-0.95528
-0.48742
-0.28562
-0.15591
-2.13517
-1.67924
-0.85961
1.57905
1.0856
-4.09194
-1.06689
-0.43368
0.04922
1.22281
3.2381
-0.55675
1.05371
-0.23124
-1.1785
-5.10525
1.11749
0.5909
-0.01456
1.70857
1.13344
0.93883
2.6641
0.92507
-1.33795
0.9294
-1.65683
-1.93668
-2.21489
-5.10648
-1.19445
0.47456
-0.461
0.19373
0.6551
-0.44915
1.5161
-1.11084
3.42943
2.58471
-0.3175
1.17337
-0.47695
-1.08238
-1.13067…
arrow_forward
c. Find the p-value.
p-value 0.10
O 0.01 < p-value < 0.025
0.05 ≤ p-value < 0.10
O 0.025 ≤ p-value < 0.05
d-1. At the 1% significance level, what is your conclusion to the hypothesis test?
d-2. Does your conclusion change at the 10% significance level?
Yes
Ho. At the 1% significance level, we
O No
conclude that inspection pass/fail and exp
arrow_forward
Consider that we are interested in computing the time weighted average number of cars parked in the parking garage on a
Sunday in December. We start at midnight and collect the entry and exit times of cars in the garage until the following midnight
as follows.
Entry 12:45:00 AM
Entry 1:00:00 AM
Entry 3:30:00 AM
Exit 5:15:00 AM
Entry 7:00:00 AM
Entry 8:15:00 AM
Exit 8:45:00 AM
Entry 10:00:00 AM
Exit 10:30:00 AM
Entry 2:30:00 PM
Exit 4:15:00 PM
Entry 6:00:00 PM
Exit 7:45:00 PM
Entry 9:30:00 PM
Exit 11:15:00 PM
What was the time weight average number of cars parked in the parking garage on that Sunday?
arrow_forward
assume that the facility has been operational for 6 months. The company was fully staffed on Day 1 but recently has seen an increase in turnover. In response, the HR Director (located in NE) began the process of gathering data from both turnover reports/exit interviews from both locations for the first half of the year (January – June). Below is a breakdown of turnover by Position, Exit Month, Department, Location, Manager, and Reason. Unfortunately, the Reason has not been recorded consistently at the Texas location and the HR Manager (who would know this information) has recently left the company. Based on the data provided, what conclusions could you draw regarding potential issues at these facilities
Position
Pay Grade
Exit Month
Department
Location
Manager
Reason
Customer Service Rep
7
Janurary
Operations
TX
Smith
Job Fit
Customer Service Rep
7
February
Operations
NE
Jones
Lack of Growth
Marketing Manager
13
March
Marketing
NE
Shultz
Personal
Operations Lead
8…
arrow_forward
The quality manager believes there may be a relationship between the experience level of an inspector and whether a product passes
or fails inspection. Inspection records were reviewed for 628 units of a particular product, and the number of units which passed and
failed inspection was determined based on three inspector experience levels. The results are shown in the following table.
Experience Level
Medium
(2-8 years)
285
High
(> 8 years)
102
26
Low
(< 2 years)
153
16
Decision
Pass
Fail
46
a. Select the competing hypotheses to determine whether the inspector pass/fail decision depends on experience level.
Ho: Inspector pass/fail decision and experience level are independent; HA: Inspector pass/fail decision and experience level
are dependent.
O Ho Inspector pass/fail decision and experience level are dependent; HA Inspector pass/fail decision and experience level are
independent.
b. Calculate the value of the test statistic. (Round the intermediate calculations to at least 4 decimal…
arrow_forward
SEE MORE QUESTIONS
Recommended textbooks for you

Big Ideas Math A Bridge To Success Algebra 1: Stu...
Algebra
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:Houghton Mifflin Harcourt
Related Questions
- 2) The projected number of navigation systems (in millions) installed in vehicles in North America, Europe and Japan from 2012 to 2016 are shown in the following table Year 2012 2013 2014 2015 2016 Systems Installed 3.9 4.7 5.8 6.8 7.8 a) Draw a scatter diagram for this data. Use “Years since 2012” on the x-axis. Make sure the scatter diagram includes all required elements (axes labels, title, and appropriate scale)b) Use the points for 2013 and 2015 to find an equation of a line modeling this situationc) Use linear regression to find an equation of a line modeling this situationd) Use the equation in b to predict number of systems sold in 2018 and do this again for the equation in part c. What is the absolute and percentage difference between the two equations (use the equation in c as the base equation in the % calculation)e) Now use extrapolation using the last two data points to make a prediction for 2018f) Which method, in your opinion, is optimal to use in this casearrow_forwardkgiba05h_ch10.05 State cancer registry data for colorectal cancer: Total Males Females Population 1,570,000 780,000 790,000 Newly diagnosed cases 793 415 378 Residents with "history of" 12,548 6,983 5,665 Calculate: a. State prevalence of colorectal cancer in males (per 10,000) (compute to one decimal place) b. State incidence of colorectal cancer in females (per 10,000) (compute to two decimal places) Icon Keyarrow_forwardExhibit 11-2 Last school year, the student body of a local university consisted of 30% freshmen, 24% sophomores, 26% juniors, and 20% seniors. A sample of 300 students taken from this year's student body showed the following number of students in each classification. Freshmen 83 Sophomores 68 Juniors 85 Seniors 64 We are interested in determining whether or not there has been a significant change in the classifications between the last school year and this school year. Refer to Exhibit 11-2. The hypothesis is to be tested at the 5% level of significance. The critical value from the table equals О а.7.815 b. 1.645 с. 2.75 n d.1.96.arrow_forward
- Product Information for 10 Tablet Computers Operating Display Size System Cost Battery Life (hours) CPU Manufacturer Tablet ($) (inches) Acer Iconia W510 599 Windows 10.1 8.5 Intel Amazon Kindle Fire HD 299 Android 8.9 TI OMAP Apple iPad 4 499 IOS 9.7 11 Аpple HP Envy X2 860 Windows 11.6 Intel Lenovo ThinkPad Tablet 668 Windows 10.1 10.5 Intel Microsoft Surface Pro 899 Windows 10.6 4 Intel Motorola Droid XYboard 530 Android 10.1 TI OMAP Samsung Ativ Smart PC 590 Windows 11.6 Intel Samsung Galaxy Tab 525 Android 10.1 10 Nyidia Sony Tablet S 360 Android 9.4 Nvidia (a) What is the average cost for the tablets? $ 582.9 (b) Compare average cost of tablets with a Windows operating system to the average cost of tablets with an Android operating system. The average cost of a tablet with a Windows operating system is s The average cost of a tablet with an Android operating system is $ Thus we see tablets with Windows operating systems cost-Select- than tablets with an Android operating system,…arrow_forwardPlease help. Thank you. CSV file data is below. TSERofReturn AcmeRofReturn -1.99167 -1.03712 2.64815 3.04528 -0.58856 0.44802 -0.76395 0.60781 -0.81178 2.51735 -0.14212 1.70972 0.17677 -0.27609 0.54349 1.18672 -0.09428 0.49632 0.3681 -3.08347 0.60727 1.4182 1.3726 0.1878 -0.8915 -1.81699 1.8031 0.975 -0.26967 1.85853 2.42493 2.33005 -0.95528 -0.48742 -0.28562 -0.15591 -2.13517 -1.67924 -0.85961 1.57905 1.0856 -4.09194 -1.06689 -0.43368 0.04922 1.22281 3.2381 -0.55675 1.05371 -0.23124 -1.1785 -5.10525 1.11749 0.5909 -0.01456 1.70857 1.13344 0.93883 2.6641 0.92507 -1.33795 0.9294 -1.65683 -1.93668 -2.21489 -5.10648 -1.19445 0.47456 -0.461 0.19373 0.6551 -0.44915 1.5161 -1.11084 3.42943 2.58471 -0.3175 1.17337 -0.47695 -1.08238 -1.13067…arrow_forwardc. Find the p-value. p-value 0.10 O 0.01 < p-value < 0.025 0.05 ≤ p-value < 0.10 O 0.025 ≤ p-value < 0.05 d-1. At the 1% significance level, what is your conclusion to the hypothesis test? d-2. Does your conclusion change at the 10% significance level? Yes Ho. At the 1% significance level, we O No conclude that inspection pass/fail and exparrow_forward
- Consider that we are interested in computing the time weighted average number of cars parked in the parking garage on a Sunday in December. We start at midnight and collect the entry and exit times of cars in the garage until the following midnight as follows. Entry 12:45:00 AM Entry 1:00:00 AM Entry 3:30:00 AM Exit 5:15:00 AM Entry 7:00:00 AM Entry 8:15:00 AM Exit 8:45:00 AM Entry 10:00:00 AM Exit 10:30:00 AM Entry 2:30:00 PM Exit 4:15:00 PM Entry 6:00:00 PM Exit 7:45:00 PM Entry 9:30:00 PM Exit 11:15:00 PM What was the time weight average number of cars parked in the parking garage on that Sunday?arrow_forwardassume that the facility has been operational for 6 months. The company was fully staffed on Day 1 but recently has seen an increase in turnover. In response, the HR Director (located in NE) began the process of gathering data from both turnover reports/exit interviews from both locations for the first half of the year (January – June). Below is a breakdown of turnover by Position, Exit Month, Department, Location, Manager, and Reason. Unfortunately, the Reason has not been recorded consistently at the Texas location and the HR Manager (who would know this information) has recently left the company. Based on the data provided, what conclusions could you draw regarding potential issues at these facilities Position Pay Grade Exit Month Department Location Manager Reason Customer Service Rep 7 Janurary Operations TX Smith Job Fit Customer Service Rep 7 February Operations NE Jones Lack of Growth Marketing Manager 13 March Marketing NE Shultz Personal Operations Lead 8…arrow_forwardThe quality manager believes there may be a relationship between the experience level of an inspector and whether a product passes or fails inspection. Inspection records were reviewed for 628 units of a particular product, and the number of units which passed and failed inspection was determined based on three inspector experience levels. The results are shown in the following table. Experience Level Medium (2-8 years) 285 High (> 8 years) 102 26 Low (< 2 years) 153 16 Decision Pass Fail 46 a. Select the competing hypotheses to determine whether the inspector pass/fail decision depends on experience level. Ho: Inspector pass/fail decision and experience level are independent; HA: Inspector pass/fail decision and experience level are dependent. O Ho Inspector pass/fail decision and experience level are dependent; HA Inspector pass/fail decision and experience level are independent. b. Calculate the value of the test statistic. (Round the intermediate calculations to at least 4 decimal…arrow_forward
arrow_back_ios
arrow_forward_ios
Recommended textbooks for you
- Big Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin Harcourt

Big Ideas Math A Bridge To Success Algebra 1: Stu...
Algebra
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:Houghton Mifflin Harcourt