Shanghai Enterprises has asked for your assistance in preparing a cash budget for the month of December 2020 and has provided projected sales revenue data below:

Projected sales: October 2020 $144,000

November 2020 $205,000

December 2020   $220,000

All sales are on credit with 65% collected during the month of sale, 18% collected during the month following the sale, 15% during the second month after the sale and 2% uncollectable.

Required:

a) Prepare the cash receipts section of a cash budget for Shanghai Enterprises for the month of December 2020.

b) Explain how Shanghai Enterprises would go about constructing a cash budget for the first three months of 2021. Note that Shanghai plans to purchase a major piece of equipment costing $500,000 in February 2021.

Please solve a and b both as I need help in both the sections. Thanks for the help:)

A 1980 study was conducted whose purpose was to compare the indoor air quality in offices
where smoking was permitted with that in offices where smoking was not permitted. Measurements were made
of carbon monoxide (CO) at 1:20 p.m. in 36 work areas where smoking was permitted and 36 work areas where
smoking was not permitted. In the sample where smoking was permitted, the mean CO = 11.6 parts per million
(ppm) and the standard deviation CO = 7.3 ppm. In the sample where smoking was not permitted, the mean CO
= 6.9 ppm and the standard deviation CO = 2.7 ppm. Test for whether or not the mean CO is significantly (α =
0.05) different in the two types of working environments.
(a) What is the null hypothesis for this problem? What is the alternative hypothesis?
(b) For this problem, would you perform a one- or two-tailed test? Explain how you reached that decision.
(c) Determine which procedure (you have learned five situations) is the appropriate statistical test to use, with
a clear explanation for your choice.
(d) Using your calculator, test the null hypothesis and present your results. Show all your work.
(e) Using statistical language (“statistic-ese”), state your conclusion and your reasoning for reaching this
conclusion. Then restate your conclusion, this time in English instead of “statistic-ese,” without including
statistical symbols or the term hypothesis. (What is the answer to the researcher’s question?)
(f) State, based on your conclusion, whether you may have committed a Type I error or a Type II error, and
what that means.

Gallup recently conducted a survey about the proportion of Americans who use e-cigarettes (vape). The following example is based on hypothetical data that is meant to be similar to the data collected by Gallup.

The following table considers survey data about annual household income and whether or not a person vapes.

Problem 1. Based on recent data, about 28% of Americans earn less than $35,000 annually, about 42% of Americans earn between $35,000 and $99,999 annually, and about 30% of Americans earn more than $100,000. Does it appear that the sample is representative of the population? In other words, does it appear that the total people in each income category matches the appropriate proportion? Conduct a chi-square goodness of fit test at the 5% significance level by completing the following steps:

1. State the null and alternative hypotheses in words.
2. Compute the expected frequencies for each of the three category. Be sure to show your work.
3. Compute the test statistic using the observed frequencies from the table and the expected frequencies you computed in part (b).
4. State the degrees of freedom and find the critical value.
5. Answer the question: does it appear that the sample is representative of the population? Justify using either the critical value method or p-value method.

Upon successful completion of the MBA program, imagine you work in the analytics department for a consulting company. Your assignment is to analyze the following databases: Hospital

Provide a detailed, four part, statistical report with the following sections:

Part 1 - Preliminary Analysis

Part 2 - Examination of Descriptive Statistics

Part 3 - Examination of Inferential Statistics

Part 4 - Conclusion/Recommendations

Part 1 - Preliminary Analysis Generally, as a statistics consultant, you will be given a problem and data. At times, you may have to gather additional data. For this assignment, assume all the data is already gathered for you.

State the objective: What are the questions you are trying to address? Describe the population in the study clearly and in sufficient detail: What is the sample? Discuss the types of data and variables: Are the data quantitative or qualitative? What are levels of measurement for the data?

Part 2 - Descriptive Statistics Examine the given data. Present the descriptive statistics (mean, median, mode, range, standard deviation, variance, CV, and five-number summary). Identify any outliers in the data. Present any graphs or charts you think are appropriate for the data. Note: Ideally, we want to assess the conditions of normality too. However, for the purpose of this exercise, assume data is drawn from normal populations.

Part 3 - Inferential Statistics Use the Part 3: Inferential Statistics document. Create (formulate) hypotheses Run formal hypothesis tests Make decisions. Your decisions should be stated in non-technical terms. Hint: A final conclusion saying "reject the null hypothesis" by itself without explanation is basically worthless to those who hired you. Similarly, stating the conclusion is false or rejected is not sufficient.

Part 4 - Conclusion and Recommendations Include the following: What are your conclusions? What do you infer from the statistical analysis? State the interpretations in non-technical terms. What information might lead to a different conclusion? Are there any variables missing? What additional information would be valuable to help draw a more certain conclusion?

1. Antigen presentation is an important link between innate and acquired (adaptive) immunity. Explain in detail how the process occurs. Please include: what cells might be involved, the differences between MHC 1 and MHC 2 and how antigen presentation leads to differential activation of acquired immunity.

  Antigen presentation is an important link between innate and acquired (adaptive) immunity. Explain in detail how the process occurs. Please include: what cells might be involved, the differences between MHC 1 and MHC 2 and how antigen presentation leads to differential activation of acquired immunity.

The most important processing step is to remove the dependence of magnetic data on the magnetic inclination and convert the data which were recorded in the inclined Earth’s magnetic field to what they would have been if the magnetic field had been vertical. Explain this process in detail with sketch drawings for illustration

If a firm starts losing money due to increase in competitive market pressure and the business outlook remains grim, then should it always shut down to stop further losses? Explain the answer in detail. What condition must be true for the firm to be always forced to shut down in the short run?