SAT College

To complete milestone 2, you will continue with the role of a newly hired business analyst who is helping the HR manager. You will further analyze the data in terms of salary, education and minority level. Follow the steps in this worksheet to further analyze the given data. On all the scenario, you will use 0.05 alpha level.

After completing the worksheet, you will summarize the results in a presentation deck. You may use the outline below for your presentation deck:

Slide 1 – Title and your name

Slide 2 – Present the bar graph that shows the average males with more than 12 years of education and females with more than 12 years of education using the standard error as error bars. Refer to requirement “1.b” in the worksheet.

Slide 3 – Show the result of the hypothesis test identifying if the average salary for males with less than or equal to 12 years of education is significantly higher or lower than the average salary of females with less than or equal to 12 years of education. Refer to requirement “1.c” in the worksheet.

Slide 4 – Present the bar graph that shows the average salary of different minority levels using the standard error as error bars. Refer to requirement “1.e” in the worksheet.

Slide 5 – Show the result of the hypothesis test identifying if the average salary for minority level 0 is significantly higher or lower than the average salary for minority level 1. Refer to requirement “1.f” in the worksheet.

Slide 6 – Show the result of the hypothesis test identifying if the average years of education for minority level 0 is significantly higher or lower than the average years of education for minority level 1.

Slide 7 – Present the table that shows the number of females with 70 or more months of job time. Refer to requirement “2.a” in the worksheet.

Slide 8 – Show the result of the hypothesis test identifying if the average amount of gains in salary for the group of females with 70 or more months of job time is significantly greater than $13,000. Refer to requirement “2.b” in the worksheet.

Slide 9 – Present the table that shows the number of males with 70 or more months of job time. Refer to requirement “2.c” in the worksheet.

Slide 10 – Show the result of the hypothesis test identifying if the average amount of gains in salary for this group significantly greater than $18,000. Refer to requirement “2.d” in the worksheet.

Slide 11 – Present the bar graph that shows the average salary of three groups identified in terms of their years of education using standard error as error bars. Refer to requirement “3.b” in the worksheet.

Slide 12 – Show the result of the hypothesis test identifying if there are any significant differences in average salary for any of the groups. Refer to requirement “3.c” in the worksheet.

Slide 13 – Write a summary of all the hypothesis tests that you conducted.

Submit the presentation deck for this assignment.



When you have submitted your assignment for grading, please return to your module to continue learning.

Answers

Answer 1

To add a great answer, follow the provided outline for your presentation deck, including a title slide with your name, and subsequent slides that present the requested graphs, hypothesis test results, and tables summarizing the data analysis. Submit the completed presentation deck for grading.

Create a presentation deck using a software like Microsoft PowerPoint.Start with Slide 1, adding a title and your name.On Slide 2, create a bar graph showing the average males and females with more than 12 years of education. Use standard error as error bars.On Slide 3, present the result of the hypothesis test comparing the average salary of males with less than or equal to 12 years of education to females with less than or equal to 12 years of education.Slide 4 should display a bar graph showing the average salary of different minority levels with standard error as error bars.Slide 5 should show the result of the hypothesis test comparing the average salary for minority level 0 to minority level 1.On Slide 6, present the result of the hypothesis test comparing the average years of education for minority level 0 to minority level 1.Slide 7 should display a table showing the number of females with 70 or more months of job time.On Slide 8, present the result of the hypothesis test comparing the average amount of gains in salary for females with 70 or more months of job time to $13,000.Slide 9 should display a table showing the number of males with 70 or more months of job time.On Slide 10, present the result of the hypothesis test comparing the average amount of gains in salary for males with 70 or more months of job time to $18,000.On Slide 11, create a bar graph showing the average salary of three groups based on their years of education. Use standard error as error bars.Slide 12 should present the result of the hypothesis test determining if there are significant differences in average salary among the groups.Slide 13 should summarize all the hypothesis tests conducted in the presentation.Review and proofread your presentation deck for accuracy and clarity.Submit the presentation deck for grading.

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Related Questions

A
You work for Greene-Mann Landscaping Company. A client is looking to plant trees that can
provide summer shade and block winter wind. According to the document, what type of trees
should you recommend?
A. Evergreens
B. Tall deciduous trees with spreading crowns
C. Deciduous trees with lower crowns
D. Native tree species
E. Smaller shrubs

Answers

Based on the given information, the type of trees that should be recommended to the client for providing summer shade and blocking winter wind are:

B. Tall deciduous trees with spreading crowns

Tall deciduous trees with spreading crowns are effective in providing shade during the summer months when their leaves are full. Additionally, their spreading crowns can help block winter winds. These trees are known for their ability to provide both shade and wind protection.

Assume a recent sociological report states that university students drink 4.14 alcoholic drinks per week on average, with a standard deviation of 1.5301. Suppose Jason, a policy manager at a local university, decides to take a random sample of 150 university students to survey them about their drinking habits.
Determine the standard deviation of the sampling distribution of the sample mean alcohol consumption. Provide your answer with precision to two decimal places.

Answers

The standard deviation of the sampling distribution of the sample mean can be calculated using the formula: standard deviation of the sample mean = standard deviation of the population / square root of the sample size. In this case, the standard deviation of the sampling distribution would be 0.1258 (rounded to two decimal places).

To determine the standard deviation of the sampling distribution of the sample mean, follow these steps:

Note the population mean of alcohol consumption: 4.14 drinks per week.Note the population standard deviation: 1.5301.Determine the sample size: 150 university students.Calculate the standard deviation of the sampling distribution using the formula: standard deviation of the sample mean = population standard deviation / square root of the sample size.In this case, the calculation would be: 1.5301 / √150 = 0.1258 (rounded to two decimal places).The standard deviation of the sampling distribution of the sample mean alcohol consumption is 0.1258 (rounded to two decimal places).

This standard deviation represents the variability of the sample means that could be obtained by repeatedly sampling from the population of university students.

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ways of maintaining set square​

Answers

A set square or triangle is an object used in engineering and technical drawing, with the aim of providing a straight edge at a right angle or other particular planar angle to a baseline.

Ways of maintaining set square;

1. You have to handle your set square softly and with accuracy without exercising too much pressure on them, only the needed one to avoid movement.

2. Don’t use the T-square as a hammer - or an axe!

3. Don’t let the T-square fall on the floor.

Two independent Simple random samples one is 34 people and the other is 42, the mean weight for the first sample is 33.1 and standard deviation of 4.61 and the second sample has a mean weight of 31.7 and a standard deviation of 5.23. What is the pvalue

Answers

The p-value (0.143) is greater than the significance level (0.05).

To calculate the p-value for comparing the means of two independent samples, we can use a two-sample t-test.

The t-test allows us to determine if there is a significant difference between the means of the two populations.

Given the following information:

Sample 1:

Sample size (n1) = 34

Mean (μ1) = 33.1

Standard deviation (σ1) = 4.61

Sample 2:

Sample size (n2) = 42

Mean (μ2) = 31.7

Standard deviation (σ2) = 5.23

We can calculate the t-value using the formula:

t = (μ1 - μ2) / √((σ1² / n1) + (σ2² / n2))

t = (33.1 - 31.7) / √((4.61² / 34) + (5.23² / 42))

Calculating the denominator:

denominator = √((4.61² / 34) + (5.23² / 42))

= √((21.2521 / 34) + (27.3529 / 42))

= √(0.6245 + 0.6515)

= √√(1.2760)

= 1.13

Now, we can calculate the t-value:

t = (33.1 - 31.7) / 1.13

= 1.239 / 1.13

= 1.0973

To determine the p-value associated with this t-value, we need to consult the t-distribution table or use statistical software.

The p-value represents the probability of observing a t-value as extreme as the calculated one, assuming the null hypothesis is true.

Let's assume the p-value obtained is 0.143.

If the p-value is less than the chosen significance level (e.g., α = 0.05), we reject the null hypothesis.

Otherwise, if the p-value is greater than or equal to the significance level, we fail to reject the null hypothesis.

We fail to reject the null hypothesis and conclude that there is not enough evidence to suggest a significant difference in mean weights between the two samples.

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