A man is climbing up a mountain which is inclined.

A man is climbing up a mountain which is inclined. He has to travel 100 km to reach the top of the mountain. Every day He climbs up 2 km forward in the day time. Exhausted, he then takes rest there at night time. At night, while he is asleep, he slips down 1 km backwards because the mountain is inclined. Then how many days does it take him to reach the mountain top?  I’m in the dire need of math https://helpinhomework.org/assignment-help .

Math assignment 2 deadline 15 hours

Hi, I just had a quick question for the assignment that you completed earlier I just wanted to know what stock was used to conduct the data analysis? I was wondering for the assignemnt that you did if you can please input everything into these chartsIt’s just imputing the data into the template. If you can help me out that would be great Yeah I got the answers, I was wondering if you can input the data into the template I just sent

Applied statistics assignment (5). | Statistics homework help


You have been hired by the Regional Real Estate Company to help them analyze real estate data. One of the company’s Pacific region salespeople just returned to the office with a newly designed advertisement. The average cost per square foot of home sales based on this advertisement is $280. The salesperson claims that the average cost per square foot in the Pacific region is less than $280. In other words, he claims that the newly designed advertisement would result in higher average cost per square foot in the Pacific Region. He wants you to make sure he can make that statement before approving the use of the advertisement. In order to test his claim, you will generate a random sample size of 750 using data for the Pacific region and use this data to perform a hypothesis test. 


Generate a sample of size 750 using data for the Pacific region. Then, design a hypothesis test and interpret the results using significance level α = .05. You will work with this sample in the assignment. Briefly describe how you generated your random sample.

  • Hypothesis Test Setup: Define your population parameter, including hypothesis statements, and specify the appropriate test.
    • Define your population parameter.
    • Write the null and alternative hypotheses. Note: Remember, the salesperson believes that his sales are higher.
    • Specify the name of the test you will use.
      • Identify whether it is a left-tailed, right-tailed, or two-tailed test.
    • Identify your significance level.
  • Data Analysis Preparations: Describe sample summary statistics, provide a histogram and summary, check assumptions, and find the test statistic and significance level.
    • Provide the descriptive statistics (sample size, mean, median, and standard deviation).
    • Provide a histogram of your sample.
    • Describe your sample by writing a sentence describing the shape, center, and spread of your sample.
    • Determine whether the conditions to perform your identified test have been met.
  • Calculations: Calculate the p value, describe the p value and test statistic in regard to the normal curve graph, discuss how the p value relates to the significance level, and compare the p value to the significance level to reject or fail to reject the null hypothesis.
    • Calculate the sample mean and standard error.
    • Determine the appropriate test statistic, then calculate the test statistic.
      Note: This calculation is (mean – target)/standard error. In this case, the mean is your regional mean (Pacific), and the target is 280.
    • Calculate the p value.
      Note: For right-tailed, use the T.DIST.RT function in Excel, left-tailed is the T.DIST function, and two-tailed is the T.DIST.2T function. The degree of freedom is calculated by subtracting 1 from your sample size.
      Choose your test from the following:
      =T.DIST.RT([test statistic], [degree of freedom])
      =T.DIST([test statistic], [degree of freedom], 1)
      =T.DIST.2T([test statistic], [degree of freedom])
    • Using the normal curve graph as a reference, describe where the p value and test statistic would be placed.
  • Test Decision: Discuss the relationship between the p value and the significance level, including a comparison between the two, and decide to reject or fail to reject the null hypothesis.
    • Discuss how the p value relates to the significance level.
    • Compare the p value and significance level, and make a decision to reject or fail to reject the null hypothesis.
  • Conclusion: Discuss how your test relates to the hypothesis and discuss the statistical significance.
    • Explain in one paragraph how your test decision relates to your hypothesis and whether your conclusions are statistically significant.

We need to equate the total payments


We need to equate the total payments to the total obligations due at the end of year three. Debts The values of the R780 and R7 000 debts must be moved to the end of year three. For the R780 debt The future value is = P (1 + R) T S = 780 (1 + 0.11) 1 S = 865.80 For the R7 000 debt The value of the R7 000 debt at the end of year three is = P (1 + R) -T S = 7000 (1 + 0.11) -1 S = R6 306.31 Payments There are two payments, namely R1 300 at the end of year one and R x at the end of year three. For the R1 300 payment The future value isS = P (1 + R) T S = 1300 (1 + 0.11) 2 S = R1 601.73Total payments = Total obligations1601.73 + x = 865.80 + 6306.611601.73 + x = 7172.11 x = 7172.11 – 1601.73x = R5 570.38

4-2 problem set: statistical inference and hypothesis testing

This problem set will give you practice in solving problems relating to statistical inference and hypothesis testing learned in this module. Problems will be similar to those you will face on the quiz in Module Six and will include one or two real-world applications to prepare you to think like a biostatistician.

To complete this assignment, review the Module Four Problem Set document.

Please complete all problems and show any work necessary. Document with problems 

Statistics | Statistics homework help


At the start of the project, you documented your typical responses along with your question formulations. You did not know it at the time, but you were hypothesizing about the future survey results. Now that you have the actual survey data, you can go back and apply the tools of inferential statistics to test your hypotheses.

Assignment Overview and Preparation

For this assignment, you will:

  • Calculate an appropriate 95% confidence interval for each question.
  • Perform an appropriate, one-sample hypothesis test for each question. Based on the context of your questions, you may choose to set up your hypothesis test as a one-sided test or two-sided test.

Remember, we want to estimate population proportions in questions 1–4 and population means in questions 5–6 (from Week 7). We already calculated the sample statistics for each question in Week 7. Feel free to use this prior work to help complete the above tasks. That is, we already have sample proportions for questions 1–4 as well as sample means and standard deviations for questions 5–6.

Use the Analyzing Data With Inferential Statistics Template [XLSX]. The template has 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. Almost every type of situation is shown, so try to model your results after the ones shown.

Make sure you have watched the Week 9 Project Video. Your instructor will walk you through the process for completing this assignment.


Complete the following in order to apply the tools of inferential statistics to test your hypotheses:

  • Open and complete the Excel Analyzing Data With Inferential Statistics Template [XLSX].
  • Calculate a 95% confidence interval for each of your survey questions (1–6). Your final product should have six confidence intervals.
  • Perform a hypothesis test for each survey question (1–6). Your final product should have six hypothesis tests.

When you have completed this assignment, submit it to your instructor in the Analyzing Data Using Inferential Statistics assignment area.

Before submitting it, refer to the Analyzing the Data Set Using Inferential Statistics Scoring Guide to ensure that it meets the grading criteria.

Assignment six | Trigonometry homework help

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    10.4 assignment | Statistics homework help

    Throughout this course, you have gained advanced insights into the field of biostatistics. You were introduced to what biostatistics is and why it is fundamental to the public health, nursing, and health science fields. You learned how to collect data and consider how reliable and valid it is, in addition to discovering how data is created for certain types of studies. You learned to visually analyze data via frequency distributions and expand upon that knowledge by investigating numerical summaries of location and spread. You also explored random variability and the likelihood that a given event will occur. You then discovered that probability is inherently unpredictable in the short term but can be inferred in the long run. You then explored the binomial probability distribution, which is a frequency distribution that is most commonly used for discrete random variables. Additionally, you encountered the normal probability distribution, a frequency distribution most commonly used for continuous random variables. You were introduced to statistical inference, which is when biostatisticians use data from a sample to generalize inferences about a population. You also learned about hypothesis testing, which is one of the more common ways in which statistical inferences are made. You explored a second technique of statistical inference: estimation, including both point estimation and interval estimation. The course helped you see how to make inferences about a mean and the difference between two means. You then examined two independent groups and whether there was a difference between their means by comparing distributions of a continuous variable using graphical techniques, summary/descriptive statistics, and the two-sample independent t-test. You also explored one-way ANOVA testing by comparing means from two or more groups. Finally, you discovered the techniques used to examine the association between two quantitative/continuous variables.

    Complete a this short assignment which will be covering the main topics in this course. Please answer all questions clearly. 


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