Provide screenshots or explanations of how you solved the problems.

1. This DQ is dealing with the composition operator of functions. That is, performing one function and then immediately using that output as the input to another possible different function. Here is my problem:

f(x) = 4x + 3

g(x) = sqrt(4 – x2)

to compute (f o g)(x) (which is read as “f of g of x”, the circle in the middle is the composition operator (like a + sign but for composition)). I would write:

f(g(x)) = f( sqrt(4 – x2)) = 4( sqrt(4 – x2)) + 3

then there is no more algebra to simplify.

for (g o f)(x) which is the other way around we have:

g(f(x)) = g(4x+3) = sqrt(4-(4x+3)2) = sqrt(4 – 16×2 – 24x – 9) = sqrt(-5- 16×2 – 24x)

then there is no more algebra to simplify.

Some things to discuss possibly:

1. If a function f composed with itself gives the identity function (i.e f(f(x)) = x) then what can we say about f?

2. On an unrelated note, do you think mathematics is discovered or invented? Is there a difference between the words?

NThis DQ switches over to logarithms: https://en.wikipedia.org/wiki/Logarithm which is NOT an algorithm: https://en.wikipedia.org/wiki/Algorithm

Logarithm is the quintessential slow growing function because it is the inverse (“opposite of”) the exponential function which is the quintessential fast functio

The notation is this: y = logb(x) means that by = x. So it is finding which value of “y” to put as the exponent onto the base “b” to get a value of “x” out

Easy one: log2(4) = 2 because 22 =

Another easy one: log5(25) = 2 because 52 =

Hard one: log6(35) = ?? we need a calculator for this one because theres no whole number to put as a power of 6 to get 35. It is almost 2 right because 62 = 36 and 36 is almost 35. It turns out that log6(35) = 1.9843 using a calculat

Here are some interesting real world applications: https://betterexplained.com/articles/using-logs-in-the-real-world

I can tell you for sure that logs are used every day in my line of work (finance and insurance) mainly in regards to finding unknown interest rates given other criteria about loans/bonds/etc

some discussion point

1. why would the logathim at 0 not have a defined value

The data below is your practice data set for your lab. For this assignment, you are the researcher. You gave the stroop effect lab to 40 students, 20 males and 20 females. The data set below contains the number of correct hits for each subject.

Complete the calculations below based on the data provided.

males         

females

4

9

5

8

7

7

6

7

6

9

6

10

5

8

5

8

3

9

3

10

8

7

6

9

9

8

5

9

4

8

5

9

7

8

7

8

6

7

6

9

Question 1 (2 points)

Calculate the Mean number of correct responses (hits) for male subjects.

Round your answer to the nearest hundredths place.

For example: 1.11

Question 2 (2 points)

Calculate the Standard Deviation (SD) of the correct responses for male subjects.

Round your answer to the nearest hundredths place.

For example: 1.11

Question 3 (2 points)

calculate the Standard Error of the Mean (SEM) of the correct responses for male subjects.

Round your answer to the nearest hundredths place.

For example: 1.11

Question 4 (2 points)

Calculate the Mean number of correct responses (hits) for female subjects.

Round your answer to the nearest hundredths place.

For example: 1.11

Question 5 (2 points)

Calculate the Standard Deviation (SD) of the correct responses for female subjects.

Round your answer to the nearest hundredths place.

For example: 1.11

Question 6 (2 points)

Calculate the Standard Error of the Mean (SEM) of the correct responses for female subjects.

Round your answer to the nearest hundredths place.

For example: 1.11

Question 7 (2 points)

Use a statistical software program or your favorite stats website and find the t value for an unpaired 2 sample t test using the data from the 2 groups, the males and the females.

Suggested website: http://graphpad.com/quickcalcs/ttest1/

Round your answer to the nearest hundredths place.

For example: 1.11

Question 8 (2 points)

What is the degrees of freedom associated with this t test?

Enter the numerical value. For example: 99; not ninety-nine

Question 9 (2 points)

The p value associated with your t value is:

Question 9 options:

less than .05

greater than .05

I have no idea.

Question 10 (2 points)

Based on your calculations, would you reject the null hypothesis that there is no difference between males and females on this facial recognition task?Question 10 options:

Yes, I would reject the null hypothesis.

No, I would not reject the null hypothesis.

I have no idea.

I’m working on a Calculus exercise and need support.

Hi,

I have 15 written questions in calculus 1. It will not take that much time at all. One you agree to help me to solve them, i will send you all the questions.

You can find quite a few reference materials for this online.

Write a paper with uploaded pictures. A “paper” means an expository essay with perhaps as much math as a typical homework assignment. In contrast to a homework assignment, this writing should explain the significance of computations in words, and also add commentary to the mathematics. Write about the topic as if you are to be explaining it to yourself in a year or two.

Need this in a word document (if there are equations, please use Latex to type) . If you upload images from external site, please cite references in APA style.

Hello, I need help with calculus problems regarding intergrals and other materials. 

The notes needed are posted on: https://1drv.ms/u/s!ArOGGTi5Qk0tgP805i1CjNu9CSpb4w?e=3jSQKb

Assessment 4 Instructions: Inferential Statistics to Analyze Data

• PRINT
• Use inferential statistics to analyze the data for your previously defined survey questions.Introduction
  Note: Be sure to complete Assessment 3 before completing this assessment.You will use inferential statistics to analyze the data for your previously defined survey questions. In the process, you will gain an understanding of confidence intervals and significance tests.Demonstration of Proficiency
  By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies through the following assessment scoring guide criteria.
  • Competency 3: Derive logical conclusions from inferential statistical procedures.
    • Compute 95% confidence intervals correctly for multiple variables in a study.
    • Derive appropriate conclusions based upon calculated confidence intervals for a study.
    • Choose appropriate hypothesis tests based upon the context of the questions asked.
    • Specify correct null and alternative hypotheses.
    • Calculate hypothesis tests correctly for multiple questions in a study.
    • Derive appropriate conclusions regarding hypotheses according to the results of hypothesis tests.
  • Note: Be sure to complete Assessment 3 before completing this assessment.By completing Assessment 3, you are now in the position of having data and summary statistics for your survey. In Assessment 2, you documented typical responses to your survey, along with your question formulations. You did not know it at the time, but you were hypothesizing about the future survey results. Now you can go back and apply the tools of inferential statistics to test your hypotheses. Specifically, you will now check how well the expected results from Assessment 2 align with the actual data you received.Excel Template
    Use the Inferential Statistics to Analyze Data Template [XLSX] to complete this assessment. Review the “Example” sheet in the file first. Then use the corresponding information from Assessment 3 in the “Inferential Statistics” sheet of the template.Assessment Overview and Preparation
    For this assessment, analyze data using inferential statistics for your previously defined survey questions. Before you begin your analysis, note the following:
  • When using the Inferential Statistics to Analyze Data Template, note that there are two pages. Be sure to review each one carefully. The first page is the blank template that you will complete, and the second page is a completed example. Try to model your results on the ones shown.
  • Enter the sample statistics (proportions and samples sizes for questions 1–4 as well as the sample means, standard deviations, and sample sizes for questions 5–6) in the respective fields of the template. The sample statistics were calculated for each survey question in Assessment 3. Use this prior work to complete this assessment. Note that the sample size must be the same for all six questions.
  • Generating the Inferential Statistics Results
  1. Calculate a 95% confidence interval for each of your survey questions (1–6). Your final product should have six confidence intervals.
  2. Perform a hypothesis test for each survey question (1–6). Your final product should have six hypothesis tests.
  3. A few notes:
  • When determining the null and alternative hypotheses for each question, use the typical response values from Assessment 2.
  • You probably want to write the null hypothesis first. Then, the alternative hypothesis is the opposite of the alternative.
  • Use the same numerical value for the two hypotheses. You cannot put one value for the null and another for the alternative.
  • For questions 1–4, we are using the sample proportion to estimate the population proportion. For questions 5–6, we are using the sample mean to estimate the population mean. Thus, we use different formulas for their confidence intervals and for their test statistics in the hypothesis tests.

Write a 5-question written math assessment suitable for elementary students in grades 3-5. Your assessment should cover at least the following topics:

• Place value
• Decimals
• Fractions
• Number lines
• Rounding

This is a 1.5 hours maximum exam, have attached the questions, should not take that long either. Please help out and I will answer any questions you may have.

For this assignment, you will calculate the Pearson product-moment correlations between at least two sets of variables in the Happiness and Engagement Dataset.

Perform one correlation between two independent variables, such as Age and Relationship with Coworkers.

Perform the second correlation on an independent variable (such as Relationship with Direct Supervisor) and the dependent variable (such as Workplace Happiness Rating).

Calculate the Pearson product-moment correlations between at least two sets of variables in your data set.

Write a 125- to 175-word summary of your interpretation of the correlation results. Remember that most people never see the actual output or data and instead rely on the results statements by the researcher. Ensure that your summary is accurate. Copy and paste your Microsoft® Excel® output below the summary. Include your summary and Microsoft® Excel® output.