At June 30, 2017, the end of its most recent fiscal year, Bramble Computer Consultants’ post-closing trial balance was as follows:

The company underwent a major expansion in July. New staff was hired and more financing was obtained. Bramble conducted the following transactions during July 2017, and adjusts its accounts monthly.

Adjustment data:

The chart of accounts for Bramble Computer Consultants contains the following accounts: Cash, Accounts Receivable, Supplies, Prepaid Insurance. Prepaid Rent, Equipment, Accumulated Depreciation—Equipment, Accounts Payable, Notes Payable, Interest Payable, Income Taxes Payable, Salaries and Wages Payable, Unearned Service Revenue, Common Stock, Retained Earnings, Dividends, Income Summary, Service Revenue, Supplies Expense, Depreciation Expense, Insurance Expense, Salaries and Wages Expense, Advertising Expense, Income Tax Expense, Interest Expense, Rent Expense, Supplies Expense, and Utilities Expense.

At June 30, 2017, the end of its most recent fiscal year, Blue Computer Consultants’ post-closing trial balance was as follows:

The company underwent a major expansion in July. New staff was hired and more financing was obtained. Blue conducted the following transactions during July 2017, and adjusts its accounts monthly.

Adjustment data:

The chart of accounts for Blue Computer Consultants contains the following accounts: Cash, Accounts Receivable, Supplies, Prepaid Insurance. Prepaid Rent, Equipment, Accumulated Depreciation—Equipment, Accounts Payable, Notes Payable, Interest Payable, Income Taxes Payable, Salaries and Wages Payable, Unearned Service Revenue, Common Stock, Retained Earnings, Dividends, Income Summary, Service Revenue, Supplies Expense, Depreciation Expense, Insurance Expense, Salaries and Wages Expense, Advertising Expense, Income Tax Expense, Interest Expense, Rent Expense, Supplies Expense, and Utilities Expense.

Prepare an adjusted trial balance.

At June 30, 2017, the end of its most recent fiscal year, Blue Computer Consultants’ post-closing trial balance was as follows:

The company underwent a major expansion in July. New staff was hired and more financing was obtained. Blue conducted the following transactions during July 2017, and adjusts its accounts monthly.

Adjustment data:

The chart of accounts for Blue Computer Consultants contains the following accounts: Cash, Accounts Receivable, Supplies, Prepaid Insurance. Prepaid Rent, Equipment, Accumulated Depreciation—Equipment, Accounts Payable, Notes Payable, Interest Payable, Income Taxes Payable, Salaries and Wages Payable, Unearned Service Revenue, Common Stock, Retained Earnings, Dividends, Income Summary, Service Revenue, Supplies Expense, Depreciation Expense, Insurance Expense, Salaries and Wages Expense, Advertising Expense, Income Tax Expense, Interest Expense, Rent Expense, Supplies Expense, and Utilities Expense.

Prepare a trial balance at July 31

At June 30, 2017, the end of its most recent fiscal year, Flounder Computer Consultants’ post-closing trial balance was as follows:

The company underwent a major expansion in July. New staff was hired and more financing was obtained. Flounder conducted the following transactions during July 2017, and adjusts its accounts monthly.

Adjustment data:

The chart of accounts for Flounder Computer Consultants contains the following accounts: Cash, Accounts Receivable, Supplies, Prepaid Insurance. Prepaid Rent, Equipment, Accumulated Depreciation—Equipment, Accounts Payable, Notes Payable, Interest Payable, Income Taxes Payable, Salaries and Wages Payable, Unearned Service Revenue, Common Stock, Retained Earnings, Dividends, Income Summary, Service Revenue, Supplies Expense, Depreciation Expense, Insurance Expense, Salaries and Wages Expense, Advertising Expense, Income Tax Expense, Interest Expense, Rent Expense, Supplies Expense, and Utilities Expense.

Please journalize the july transactions

Accounting Cycle Review 4-4 (Part Level Submission)

At June 30, 2017, the end of its most recent fiscal year, Blue Computer Consultants’ post-closing trial balance was as follows:

The company underwent a major expansion in July. New staff was hired and more financing was obtained. Blue conducted the following transactions during July 2017, and adjusts its accounts monthly.

Adjustment data:

The chart of accounts for Blue Computer Consultants contains the following accounts: Cash, Accounts Receivable, Supplies, Prepaid Insurance. Prepaid Rent, Equipment, Accumulated Depreciation—Equipment, Accounts Payable, Notes Payable, Interest Payable, Income Taxes Payable, Salaries and Wages Payable, Unearned Service Revenue, Common Stock, Retained Earnings, Dividends, Income Summary, Service Revenue, Supplies Expense, Depreciation Expense, Insurance Expense, Salaries and Wages Expense, Advertising Expense, Income Tax Expense, Interest Expense, Rent Expense, Supplies Expense, and Utilities Expense.

Prepare a classified balance sheet at July 31

At June 30, 2017, the end of its most recent fiscal year, Blue Computer Consultants’ post-closing trial balance was as follows:

The company underwent a major expansion in July. New staff was hired and more financing was obtained. Blue conducted the following transactions during July 2017, and adjusts its accounts monthly.

Adjustment data:

The chart of accounts for Blue Computer Consultants contains the following accounts: Cash, Accounts Receivable, Supplies, Prepaid Insurance. Prepaid Rent, Equipment, Accumulated Depreciation—Equipment, Accounts Payable, Notes Payable, Interest Payable, Income Taxes Payable, Salaries and Wages Payable, Unearned Service Revenue, Common Stock, Retained Earnings, Dividends, Income Summary, Service Revenue, Supplies Expense, Depreciation Expense, Insurance Expense, Salaries and Wages Expense, Advertising Expense, Income Tax Expense, Interest Expense, Rent Expense, Supplies Expense, and Utilities Expense.

Post to the ledger accounts. (Post entries in the order of journal entries presented in the previous part.)

A consumer researcher wanted to know if customers really are influenced to buy more from sales clerks who smile. To test this, clerks at eight stores in a large Canadian clothing chain were given special instructions at the start of a week and then sales over the week were recorded. Four of the stores were randomly selected to have the clerks receive instructions to be especially courteous and to smile a lot. Clerks at four other stores were simply instructed to be especially courteous. Sales (in thousands of dollars) for the four stores in the smile condition were 36, 40, 36, and 44; sales for the four stores in the control condition were 40, 31, 27, and 30. Do these results suggest that customers might buy more if they encounter smiling sales clerks? (Use the .05 level.)

Below are questions you should be asking yourself in preparing for the test in class (not to be answered here):

Using the five steps of hypothesis testing, think about "why is this a test for independent means?", "what are the steps involved" and "what is my goal in this exercise? That is, which distribution am I trying to construct so I can get the comparison distribution?"

Question to be answered here:

What is the pooled estimate population variance of the two populations from which your samples come from?

Questions to answer regarding the question above :

1) In the question above, what is the variance of the distribution of means corresponding to the condition in which the clerks smile? (It may help you to draw the steps using the curves to figure out which variance goes with which distribution). Note that the variance is the same for both distribution of means due to the fact that N is the same for both.

2) In the question above, what is S_Difference?

3) In the question above, what is t_Cutoff? (Answer to the three decimal places on this one)

1. What is the Marginal Revenue at a quantity of 5?

2, What is the Marginal Cost at a quantity of 7?

3. Using the MR-MC rule, what is the profit maximizing quantity this firm should produce?

4. How much profit do they make at this quantity?

1. What is the Marginal Revenue at a quantity of 5?

2, What is the Marginal Cost at a quantity of 7?

3. Using the MR-MC rule, what is the profit maximizing quantity this firm should produce?

4. How much profit do they make at this quantity?

Out of a sample of 480 faculty from public community colleges, 259 were women (p1) . Out of a sample of 620 faculty from public bachelor’s institutions, 279 were women (p2) . (Data simulated from Faculty Pay 2006-2007, 2008). Determine a 90% confidence interval for the difference in proportions of women among public community colleges and public bachelor’s institutions.

a. Are the criteria for normality met? Justify your answer.

b. Compute the sample proportions of female faculty from both public community colleges and public bachelor’s institutions.

c. Estimate the standard error of differences between these sample proportions.

d. Compute the margin of error at the 90% confidence level.

e. Compute the difference of the sample proportions (p1−p2).

f. Compute the 90% confidence interval.

g. Interpret your confidence interval in the context of the problem.