šŸ·ļø LIMITED TIME OFFER: GET 20% OFF GRADE+ YEARLY SUBSCRIPTION ā†’
Log in
Statistics
11
answers
0
watching
316
views

What is the difference between a class boundary and a class limit (Select all that apply.)

a.) Class boundaries are possible data values.

b.) Class limits are values halfway between the upper class boundary of one class and the lower class boundary of the next.

c.) Class limits specify the span of data values that fall within a class.

d.) Class boundaries are values halfway between the upper class limit of one class and the lower class limit of the next.

e.) Class boundaries are not possible data values.

f.) Class limits are possible data values.

g.) Class limits are not possible data values.

h.) Class boundaries specify the span of data values that fall within a class.

Watch
11
answers
0
watching
316
views

For unlimited access to Homework Help, a Homework+ subscription is required.

Avatar image
Liked by misseyla and 3 others

Unlock all answers

Get 1 free homework help answer.
Already have an account? Log in
Share
Already have an account? Log in
Share
Already have an account? Log in
Share
Already have an account? Log in
Share
Already have an account? Log in
Share
Already have an account? Log in
Share
Already have an account? Log in
Share
Already have an account? Log in
Share
Already have an account? Log in
Share
Avatar image
Read by 1 person
Already have an account? Log in
Share
Karol A.
Karol A.Lv10
12 Mar 2021
Already have an account? Log in
Share

Related textbook solutions

Introductory Statistics
OER Edition, 2013
Openstax
ISBN: 9781938168208

Related questions

QUESTION 1What is the purpose of post hoc tests? Under what circumstances are post hoc tests not needed or appropriate?

a. Under what circumstances is ANOVA a more appropriate statistical technique to use than a t test for independent samples? Please provide an example(s) to support your answer. (2 marks)

b.Ā  (2 marks)

c. In testing the difference between group means, how are between group and within group variability related to each other? Provide an example to support your answer. (2 marks)

QUESTION 2

a. If a two-factor ANOVA results in a significant main effect for factor A and a significant AxB interaction, explain why you should be cautious in interpreting the effect of factor A. (1 mark)

b. For the following research situations what would be your main effects and interaction effect. If there was a significant interaction effect what would that mean? (please be as clear as possible in your explanation):

  1. A researcher hypothesizes that the effect of alcohol consumption on oneā€™s motor skills depends on the personā€™s weight (underweight, normal, overweight), but that this may differ for men versus women. (2 marks)

  2. A teacher is interested in seeing how attending class and reading the assigned chapters is related to her studentsā€™ performance on tests. She assesses each student in terms of how often they attend class (rarely, sometimes, regularly) and how often they read the assigned chapters (rarely, sometimes, regularly). (2 marks)

1

QUESTION 3

Ethel is interested in two methods of note-taking strategies and the effect of these strategies on the overall GPAs of college freshmen. She believes that men would benefit most from Method 1, while women would benefit most from Method 2. After obtaining 30 men and 30 women volunteers in freshmen orientation, she randomly assigns 10 men and 10 women to Method 1, 10 men and 10 women to Method 2, and 10 men and 10 women to a control condition. During the first month of the spring semester individuals in the two note-taking method groups receive daily instruction on the particular note-taking method to which they were assigned. The control group receives no note-taking instruction. Fall and spring GPAs for all participants are recorded and a score that is the difference between the spring and fall semester GPAs is calculated.

Below are the results from running a two-way ANOVA. Please answer the following:

  1. What is the dependent variable? (0.5 marks)

  2. What are the independent variables (factors)? (0.5 marks)

  3. What is the research question(s) being addressed? (1 mark)

  4. What does the descriptive statistics (graphical) tell us about the effects under study?

    (1 mark)

  5. What assumptions are being tested in the R output? Are these assumptions met? Please

    provide statistical evidence. (2 marks)

  6. What effects are being tested in the R output? (1 mark)

  7. What does output from the ANOVA table tell us? (1 mark)

  8. What type of follow-up analyses was conducted and why? Please interpret. (2 marks)

2

: Men
: Method1

      median
coef.var

0.300

0.469

: Women
: Method1

      median
coef.var

0.150

0.496

: Men
: Method2

      median
coef.var

0.275

0.027

: Women
: Method2

      median
coef.var

0.600

0.629

: Men
: Control

      median
coef.var

0.175

mean 0.335

mean 0.170

mean 0.305

mean 0.640

mean 0.165

mean 0.105

skew.2SE
   0.408

SE.mean CI.mean.0.95

var 0.052

var 0.033

var 0.037

var 0.032

var 0.022

var 0.021

normtest.W
     0.936

std.dev
  0.229

0.682
    skewness

1.076
    skewness

0.630
    skewness

0.072

SE.mean CI.mean.0.95

normtest.p 0.830 -----------------------------------------------------------------------------

skew.2SE
   0.342

kurtosis
  -0.645

kurt.2SE
  -0.242

normtest.W
     0.964

0.058

SE.mean CI.mean.0.95

std.dev
  0.183

normtest.p 0.096 -----------------------------------------------------------------------------

skew.2SE
   0.361

kurtosis
  -1.363

kurt.2SE
  -0.511

normtest.W
     0.869

0.061

SE.mean CI.mean.0.95

std.dev
  0.192

normtest.p 0.857 -----------------------------------------------------------------------------

0.278
    skewness

0.904
    skewness

skew.2SE
  -0.124

kurtosis
  -1.096

kurt.2SE
  -0.411

normtest.W
     0.979

-0.171

: Women
: Control

      median
coef.var

0.100

1.392
    skewness

0.560

0.046

kurtosis
  -0.759

0.105

kurt.2SE
  -0.284

   std.dev
     0.146

normtest.p
     0.512

skew.2SE
   0.019

kurtosis
  -1.443

kurt.2SE
  -0.541

normtest.W
     0.967

skew.2SE
   0.458

kurtosis
  -0.770

kurt.2SE
  -0.289

normtest.W
     0.906

0.056

SE.mean CI.mean.0.95

std.dev
  0.178

normtest.p 0.254 -----------------------------------------------------------------------------

                                                                      std.dev
                                                                        0.149

normtest.p 0.958 -----------------------------------------------------------------------------

0.047

SE.mean CI.mean.0.95

0.164

0.131

0.137

0.127

0.107

3

> leveneTest(gpa$gpaimpr~gpa$gender, data=gpa,center=mean)

Levene's Test for Homogeneity of Variance (center = mean) Df F value Pr(>F)

group 1 7.09 0.01* 58

---
Signif. codes: 0 ā€˜***ā€™ 0.001 ā€˜**ā€™ 0.01 ā€˜*ā€™ 0.05 ā€˜.ā€™ 0.1 ā€˜ ā€™ 1 > leveneTest(gpa$gpaimpr~method, data=gpa,center=mean) Levene's Test for Homogeneity of Variance (center = mean)

      Df F value Pr(>F)
group  2    1.94   0.15

57

> #running Levene's test for assumption of HOV (INTERACTION EFFECT)
> leveneTest(gpa$gpaimpr, interaction(gpa$gender,gpa$method),center=mean) Levene's Test for Homogeneity of Variance (center = mean)

      Df F value Pr(>F)
group  5    0.57   0.72

54

Df Sum Sq Mean Sq F value Pr(>F) gender 1 0.020 0.020 0.61 0.43753

method 2 1.174 0.587 17.81 1.1e-06 *** gender:method 2 0.695 0.348 10.54 0.00014 *** Residuals 54 1.780 0.033
---

Signif. codes: 0 ā€˜***ā€™ 0.001 ā€˜**ā€™ 0.01 ā€˜*ā€™ 0.05 ā€˜.ā€™ 0.1 ā€˜ ā€™ 1

4

gender        0.0055
method        0.3200
gender:method 0.1894

0.011
0.397
0.281

eta.sq eta.sq.part

#selecting only Method1, run ANOVA, then follow-up tests

  Tukey multiple comparisons of means
    95% family-wise confidence level

Fit: aov(formula = gpaimpr ~ gender, data = gpaMethod1)
$`gender`
Women-Men -0.165 -0.3594851  0.02948506    0.0915581

diff        lwr        upr     p adj

#selecting only Method2, run ANOVA, then follow-up tests

  Tukey multiple comparisons of means
    95% family-wise confidence level

Fit: aov(formula = gpaimpr ~ gender, data = gpaMethod2)
$`gender`
Women-Men 0.335 0.161153 0.508847   0.000754

diff      lwr      upr    p adj

5

Multiple Choice

1. You have a large dataset that will print on several pages. You want to ensure that related records print on the same page with column and row labels visible and that confidential information is not printed. You should apply all of the following page setup options except which one to accomplish this task?

(a) Set a print area.

(b) Print titles.

(c) Adjust page breaks.

(d) Change the print page order.

2. You are working with a large worksheet. Your row headings are in column A. Which command(s) should be used to see the row headings and the distant information in columns X, Y, and 2?

(a) Freeze Panes command

(b) Hide Rows command

(c) New Window command and cascade the windows

(d) Split Rows command

3. Which statement is not a recommended guideline for designing and creating an Excel table?

(a) Avoid naming two fields with the same name.

(b) Ensure that no blank columns separate data columns within the table.

(c)-Leave one blank row between records in the table.

(d) Include field names on the first row of the table.

4. Which of the following characters are wildcards in Excel? (Check all that apply.)

(a) *

(b) #

(e) ?

(d) $

5. What should you do to ensure that records in a table are unique?

(a) Do nothing; a logical reason probably exist to keep identical records.

(b) Use the remove duplicates command.

(c) Look at each row yourself and manually delete duplicate records.

(d) Find the duplicate records and change some of the data to be different

6. Which Conditional Formatting rule is best suited to apply formatting to the top five values in a range of values?

(a) Above Average

(b) Greater Than

(c). Top 10 Items

(d) Between

7. Which date filter option enables you to restrict the view to only dates that occur in March of 2018?

(a) Equals

(b) Before

(c) After

(d) Between

8. Which of the following is an unqualified structured reference?

(a) =[Purchase_Price]-[Down Payment]

(b) =Sales[Purchase_Price]-Sales[Down_Payment]

(c) =Purchase Price-Down_Payment

(d) =[Sales]Purchase_Price [Sales]Down_Payment

Ā 

9. Which of the following is not an aggregate function that can be applied in a total row?

(a) MAX

(b) AVERAGE

(c) COUNT

(d) VLOOKUP

Ā 

10. If you would like to set a conditional formatting rule based on the function=AND(G6"Finance". H7<7000), which formatting rule type is needed?

(a) Format all cells based on their values

(b) Format only cells that contain

(c) use formula to determine which cells to format

(d) Format only values that are above or below average

APLIA STATISTICSĀ 

The results of the study are presented in the following data table. All scores are times necessary to complete the paper folding-task, recorded in seconds.Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā Ā 

Noise TypeĀ  Ā  Ā  Ā  Ā  Ā 

Participant Classical Music White Noise Nature Sounds Participant Totals Ā 
A 3.22 3.42 3.46 P=10.10 n= 5
B 3.27 3.31 3.35 P=9.93 k=3
C 3.47 3.93 3.69 P=11.09 N=15
D 3.43 3.91 3.74 P=11.08 G=53.33
E 3.35 4.16 3.82 P=11.33 Ā 
Ā  T = 16.74 T = 18.73 T = 18.06 Ā  Ā 
Ā  SS = 0.0441Ā  SS = 0.5286 S = 0.1575 Ā  Ā 

The three treatments in the experiment define three populations of interest. You use an ANOVA to test the hypothesis that the three population means are equal. Present the results of your analysis in the following ANOVA table by entering the missing df values df and selecting the correct values for the missing SS, MS andĀ  F entries. (Note: For best results, retain at least two additional points throughout your calculations. Depending on the order in whichĀ  you do these calculations and the number of digits you retain, you may find slight rounding differences in the last digit between your answers and the answer choices"

ANOVA

Source SS df MS F
Between treatments Ā  Ā  Ā  Ā 
Within treatments Ā  Ā  0.0609 Ā 
Between subjects Ā  Ā  0.1372 Ā 
Error Ā  Ā  Ā  Ā 
TotalĀ  Ā  14 Ā  Ā 

Ā 

Weekly leaderboard

Home
Homework Help 3,900,000
Statistics 10,000
Start filling in the gaps now
Log in