The second function (calcCubic), performs the calculations, and the third function (printCubic()) prints the value of the calculation.

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InstructionsThis program gets values from the user, and then runs a calculation. The values are passed by reference (by address), so the main() function sees the changed values of the variables. The first function (getValues()) gets user input. The second function (calcCubic), performs the calculations, and the third function (printCubic()) prints the value of the calculation.
Here is the code:
And here is the output:
Unit 3 Guided Practice 6 Output.JPG
Submission InstructionsNow, you enter the code, and run it. (No flowchart this time)
Upload your .c file and a screenshot of your code output saved in a Word document
 
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Sql-data management studio | Computer Science homework help

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Using SQL Data Management Studio Only please perform the instructions  below showing screenshots of the each step. Using the Template Provided and with the Database provided.

Using the Northwind database, write a SQL SELECT statement that will retrieve the data for the following questions:

  1. Display the character constant ‘Greeting’ with a column heading of ‘Hello.’
    1. 1 row returned.
  2. Display all data from the categories tables without specifying the names of the table columns. Order the results by CategoryName.
    1. 8 rows returned.
  3. Display all employees’ names, last name first, and then first name, hire date and home phone number. Order the results by employee name, last name first, and then first name.
    1. 9 rows returned.
  4. Modify query 3 so that the column headings are as follows: ‘Last Name,’ ‘First Name,’ ‘Date of Hire,’ and ‘Home Phone Number.’
    1. 9 rows returned.
  5. Display the product name and quantity per unit, units in stock, and unit price for all products that have a unit price greater than $50. Order the results by unit price in descending order.
    1. 7 rows returned
  6. Display the Name of all U.S.-based suppliers. Order the results by Name in ascending order.
    1. 4 rows returned.
  7. Display the Order Id, ShipName, Order Date, and Freight of all orders that have a freight >/= 50 and </= 100; a ship country of Austria, Brazil, or France; and a Ship City that starts with an ‘S.’ Use, BETWEEN, IN, and LIKE for the WHERE clause conditions. Order the results by ShipName in ascending order.
    1. 13 rows returned.
  8. Rewrite query 7 to remove the use of BETWEEN and IN, and replace with the equivalent use of =, <, >, </=, >/= and AND and OR expressions.
    1. 13 rows returned.
  9. Select the Employee’s First Name, concatenated to the Last name, separated by a space. Call the column ‘Employee Name,’ the length of this employee name Length, the location of the first ‘a’ in the name ‘A Location,’ and the 5–9 characters from the name ‘Substring.’ Order the results by the Employee Name using the alias.
    1. 9 rows returned.
  10. For each customer, show the number of orders placed, and the largest, smallest and total freight ordered. Only show those customers who have placed more than 15 orders.
    1. 9 rows returned.

Please submit your assignment.

My value paper

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Paragraph form Also Introduction and conclusion 1. What is the (your) definition of a family? Who is involved? What is necessary to be a family? Marriage? Children? Heterosexuality? Please expand on these examples in examining your personal definition. 2. What is the definition of healthy or normal for a family? Please reflect on your own family dynamics, and link it to how to judge other families functioning? 3. Based on things you learned, what is the purpose of family life education? What do you see your role to be as n FLE? 4. How do you view differences among people? Are differences something to fear, ignore, or celebrate? 5. Which populations (ex. low income, teen mothers, LGBT dealing with STDs etc.) would you experience challenges with? Please identify at least 2-3 where you might experience some challenges. Then, discuss, the roots of these challenges? What are your assumptions or beliefs about these populations? Where did you learn them? What do you feel you need to do about these beliefs in order to become a successful FLE? 6. What are the most important qualities of an FLE for you? And which ones do you feel like you possess? 7. Please talk about what new information you learned about yourself in the process of writing this paper. What was hard to write about and why? 8. Please comment on what kind of preconceived notions you have about the population you chose to educate (based on your group project). For instance, if you are preparing a group for teen fathers, please share your stereotypes about this population. And please discuss one ethical issue that can come up as a result of working with this population.

ANOVA and Paired T-test – custom papers

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Score:    Week 3    ANOVA and Paired T-test
At this point we know the following about male and female salaries.
a.    Male and female overall average salaries are not equal in the population.
b.    Male and female overall average compas are equal in the population, but males are a bit more spread out.
c.    The male and female salary range are almost the same, as is their age and service.
d.     Average performance ratings per gender are equal.
Let’s look at some other factors that might influence pay – education(degree) and performance ratings.
<1 point>    1    Last week, we found that average performance ratings do not differ between males and females in the population.
Now we need to see if they differ among the grades. Is the average performace rating the same for all grades?
(Assume variances are equal across the grades for this ANOVA.)                            You can use these columns to place grade Perf Ratings if desired.
A    B    C    D    E    F
Null Hypothesis:
Alt. Hypothesis:
Place  B17 in Outcome range box.
Interpretation:
What is the p-value:
Is P-value < 0.05? Do we REJ or Not reject the null? If  the null hypothesis was rejected, what is the effect size value (eta squared): Meaning of effect size measure: What does that decision mean in terms of our equal pay question: <1 point>    2    While it appears that average salaries per each grade differ, we need to test this assumption.
Is the average salary the same for each of the grade levels? (Assume equal variance, and use the analysis toolpak function ANOVA.)
Use the input table to the right to list salaries under each grade level.
Null Hypothesis:                            If desired, place salaries per grade in these columns
Alt. Hypothesis:                            A    B    C    D    E    F
Place  B55 in Outcome range box.
What is the p-value:
Is P-value < 0.05? Do you reject or not reject the null hypothesis: If  the null hypothesis was rejected, what is the effect size value (eta squared): Meaning of effect size measure: Interpretation: <1 point>    3    The table and analysis below demonstrate a 2-way ANOVA with replication.  Please interpret the results.
BA    MA        Ho: Average compas by gender are equal
Male    1.017    1.157        Ha: Average compas by gender are not equal
0.870    0.979        Ho: Average compas are equal for each degree
1.052    1.134        Ha: Average compas are not equal for each degree
1.175    1.149        Ho: Interaction is not significant
1.043    1.043        Ha: Interaction is significant
1.074    1.134
1.020    1.000        Perform analysis:
0.903    1.122
0.982    0.903        Anova: Two-Factor With Replication
1.086    1.052
1.075    1.140        SUMMARY    BA    MA    Total
1.052    1.087        Male
Female    1.096    1.050        Count    12    12    24
1.025    1.161        Sum    12.349    12.9    25.249
1.000    1.096        Average    1.029083333    1.075    1.052041667
0.956    1.000        Variance    0.006686447    0.006519818    0.006866042
1.000    1.041
1.043    1.043        Female
1.043    1.119        Count    12    12    24
1.210    1.043        Sum    12.791    12.787    25.578
1.187    1.000        Average    1.065916667    1.065583333    1.06575
1.043    0.956        Variance    0.006102447    0.004212811    0.004933413
1.043    1.129
1.145    1.149        Total
Count    24    24
Sum    25.14    25.687
Average    1.0475    1.070291667
Variance    0.006470348    0.005156129
ANOVA
Source of Variation    SS    df    MS    F    P-value    F crit
Sample    0.002255021    1    0.002255021    0.383482117    0.538938951    4.06170646      (This is the row variable or gender.)
Columns    0.006233521    1    0.006233521    1.060053961    0.308829563    4.06170646      (This is the column variable or Degree.)
Interaction    0.006417188    1    0.006417188    1.091287766    0.301891506    4.06170646
Within    0.25873675    44    0.005880381
Total    0.273642479    47
Interpretation:
For Ho: Average compas by gender are equal                    Ha: Average compas by gender are not equal
What is the p-value:
Is P-value < 0.05? Do you reject or not reject the null hypothesis: If  the null hypothesis was rejected, what is the effect size value (eta squared): Meaning of effect size measure: For Ho: Average compas are equal for all degrees                      Ha: Average compas are not equal for all grades What is the p-value: Is P-value < 0.05? Do you reject or not reject the null hypothesis: If  the null hypothesis was rejected, what is the effect size value (eta squared): Meaning of effect size measure: For: Ho: Interaction is not significant            Ha: Interaction is significant What is the p-value: Is P-value < 0.05? Do you reject or not reject the null hypothesis: If  the null hypothesis was rejected, what is the effect size value (eta squared): Meaning of effect size measure: What do these decisions mean in terms of our equal pay question: Place data values in these columns <1 point>    4    Many companies consider the grade midpoint to be the “market rate” – what is needed to hire a new employee.                                            Salary    Midpoint
Does the company, on average, pay its existing employees at or above the market rate?
Null Hypothesis:
Alt. Hypothesis:
Statistical test to use:
Place  the cursor in B160 for test.
What is the p-value:
Is P-value < 0.05? What else needs to be checked on a 1-tail in order to reject the null? Do we REJ or Not reject the null? If  the null hypothesis was rejected, what is the effect size value:            NA Meaning of effect size measure:    NA Interpretation: <2 points>    5.       Using the results up thru this week, what are your conclusions about gender equal pay for equal work at this point?

 

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