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Correlation Coefficient

Scenario 1: A local high school wants to see how their AP Psychology exam scores compare to the AP Psychology exam scores for the whole country.

Flag question: Question 1
Question 1
What is the most appropriate test statistic to use to test the hypothesis in scenario 1?
Group of answer choices

Correlation coefficient

Regression

Dependent samples t test

Z-score

One way ANOVA

Independent samples t-test

One sample z-test

Flag question: Question 2
Question 2
What is the null hypothesis for scenario 1?
Group of answer choices

H0: X (population)
µ (sample)

r > 0

H0: X (sample) = µ (population)

H0: m1 (sample)
m2 (population)

H0: X1 (sample) = X2 (population) = X3 (control)

H0: X (sample) > µ (population)

Flag question: Question 3
Question 3
What is the alternative hypothesis for scenario 1?
Group of answer choices

r ≠ 0

H1: m1 < m2

H1: X ≠ µ

H1: X1 ≠ X2 ≠ X3

Flag question: Spacer
Scenario 2. A researcher is interested in examining how a new exercise program aimed at body positivity can influence teenagers’ self-esteem. She randomly assigns teenagers to either engage in the new exercise program for 8 weeks (the experimental group) or to a control group that does not do the program and then compares their self-esteem.

Flag question: Question 4
Question 4
What is the most appropriate test statistic to use to test the hypothesis in scenario 2?
Group of answer choices

Factor Analysis

One-way ANOVA

z-score

Dependent samples t-Test

z-test

Independent samples t-Test

Structural Equation Model

Correlation Coefficient

Flag question: Question 5
Question 5
What is the null hypothesis for scenario 2?
Group of answer choices

H0: self esteem in the experimental group > self esteem in the control group

H0: self esteem in the experimental group = self esteem in the control group

H0: µ1(group that does the new program) = µ2(control group 1) =µ3(control group 2)

H0: self esteem in the experimental group
self esteem in the control group

H0: self esteem in the experimental group < self esteem in the control group

H0: rxy = 0

Flag question: Question 6
Question 6
What is the alternative hypothesis for scenario 2?
Group of answer choices

H1: self esteem in the experimental group > self esteem in the control group

H1: self esteem in the experimental group < self esteem in the control group

H1: self esteem in the experimental group
self esteem in the control group

H1: self esteem in the experimental group = self esteem in the control group

H1: µ1(experimental group)
µ2(control group 1)
µ3(control group 2)

H1: rxy = 0

Flag question: Question 7
Question 7
What is the independent variable for scenario 2?
Group of answer choices

The body-positive exercise program

The researchers

The participants

There is no IV for this type of analysis

Self esteem

Flag question: Question 8
Question 8
What is the dependent variable for scenario 2?
Group of answer choices

The body-positive exercise program

The participants

There is no DV for this type of analysis

Self esteem

The researchers

Flag question: Spacer
Scenario 3. A manager at a large company wants to know if there is an association between time spent on zoom and ratings of happiness among employees who work from home.

Flag question: Question 9
Question 9
What is the most appropriate test statistic to use to test the hypothesis in scenario 3?
Group of answer choices

One-way ANOVA

Dependent samples t-Test

Regression Analysis

P-test

Independent samples t-Test

Correlation Coefficient

One sample z-Test

Z-score

F-test

Flag question: Question 10
Question 10
What is the independent variable for scenario 2?
Group of answer choices

There is no IV for this type of analysis

Happiness

Time spent on zoom

The participants’ workload

The type of job they have

Flag question: Spacer
Scenario 4. A researcher wants to explore whether stress increases after experiencing sleep deprivation. She measures participants stress levels before and after staying up for one night.

Flag question: Question 11
Question 11
What is the most appropriate test statistic to use to test the hypothesis in scenario 4?
Group of answer choices

One-way ANOVA

Independent samples t-Test

Correlation Coefficient

Z-score

Dependent samples t-Test

P-test

Regression Analysis

F-test

T-test for the significance of the correlation coefficient

One sample Z-test

Flag question: Question 12
Question 12
What is the null hypothesis for scenario 4?
p
0 words

Flag question: Question 13
Question 13
What is the alternative hypothesis for scenario 4?
p
0 words

Flag question: Question 14
Question 14
What is the independent variable for scenario 4?
p
0 words

Flag question: Question 15
Question 15
What is the dependent variable for scenario 4?
p
0 words

Flag question: Spacer
Scenario 5. A researcher is interested in examining how different employee-morale boosting activities can influence employee job satisfaction. She randomly assigns different companies to provide one of three possible activities: an employee appreciation lunch, free coffee every Wednesday for a month, or a 20-minute extended lunch break every Friday for a month an then compares employee satisfaction rates between the three companies.

Flag question: Question 16
Question 16
What is the most appropriate test statistic to use to test the hypothesis in scenario 5?
Group of answer choices

P-test

One-way ANOVA

Independent samples t-Test

One sample Z-Test

Z-score

Dependent samples t-Test

Regression Analysis

Correlation Coefficient

Flag question: Question 17
Question 17
What is the null hypothesis for scenario 5?
Group of answer choices

HO: µ1(lunch) = µ2(coffee) =µ3(extended break)

H0: µ1coffee
µ2extended lunch

H0: Mcoffee= µlunch

H0: rxy = 0

H0: µ1coffee = µ2extended lunch

H0: µ1coffee
µ2extended lunch

HO: µposttestA = µpretestB

Flag question: Question 18
Question 18
What is the alternative hypothesis for scenario 5?
p
0 words

Flag question: Question 19
Question 19
What is the independent variable for scenario 5?
Group of answer choices

How many years participants have been working at that job

The participants

The type of work the employees do at the company

The type of morale-boosting activity

The size of the company

Employee job satisfaction

Flag question: Question 20
Question 20
What is the dependent variable for scenario 5?
Group of answer choices

The size of the company

Employee job satisfaction

The type of work the employees do at the company

How many years participants have been working at that job

The participants

The type of morale-boosting activity

Flag question: Question 21
Question 21
Come up with your own study idea, just like the scenarios you see in the questions above. Explain the study (just like in scenarios above), and then tell me the following information for your study. Make sure this is your own original study idea!
IV:
DV:
Null Hypothesis:
Alternative Hypothesis:
Type of Analysis you would use to test the hypothesis in your study:
p
0 words

Flag question: Question 22
Question 22
Now, pretend you actually ran the study you came up with. Make up the results (the test statistic values, means and SDs), and write up the results as you would see them in an APA style research paper. Note, you do not actually have to do any calculations here! You just need to make up the means and sds for each group, the test statistic value, and the p value and write out the results. You can use the answers to the write up questions on the previous 4 assignments as a template for this!

Sample Solution

tioning to allow the surgical area to heal.1 The hope through this approach would be to lower the impact of surgical stress on the patient post-operative from their physiologic and physiological responses. This is done through enhancing the hospital organization to embrace to best practices and develop a team that works and communicates from start to finish instead of departments that the patient flows through (clinic, surgery, anesthesiology, intensive care).2 The team consists of the pre-operative and post-operative team, nursing, the surgeon and the surgical team, anesthesiologist, and dietitian. The original use of ERAS was developed for colorectal patients, however, this is expanding to various kinds of major surgery as methods are perfected for gastrointestinal surgeries, hence why this is such a pertinent feature to understand in the clinical nutrition world.2 There have been multiple journals published with evidence pinpointing that ERAS’ multimodal approach has evidence-based benefits ‘ decreasing length of stay, decreasing the use of analgesics, cost, and increasing comfort of patient.2 Specific ERAS components that the ERAS Society has approved of across all ERAS protocol include the following procedures for each stage. The first stage is the pre-admission where the surgeon or dietitian may suggest pre-operative nutritional support for a malnourished patient complete cessation of smoking and supplement usage by the patient, with the team suggesting medical optimization and information available for the patient.(figure 1) Preoperative preparation for the patient is the usage of a bowel cleanser, preoperative carbohydrates up to 2 hours before surgery, and antibiotic prophylaxis medications. Intra-operative measures are with minimally invasive techniques and minimal drainage, regional analgesia and minimal opioid use, as well as balanced control of temperature and fluids. Post-operative is removal of drains and tubes and cessation of intravenous fluids, no usage of nasogastric tubes, minimal opioid-based pain control with reliance on other medications, early mobilization of the patient, and early oral intake of fluids and calories for initial g
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