“The following balances were taken from Jane's books who is a sole trader and operates a catering business.
Jane's trial balance for the year to 30th June 2019 was as follows:
|
Trial Balance |
Dr (£) |
Cr (£) |
|
Equipment at cost |
42,000 |
|
|
Accumulated depreciation of equipment as at 1st July 2018 |
35,000 |
|
|
Inventory as at 1st July 2018 |
50,800 |
|
|
Debtors |
32,000 |
|
|
Bank / cash |
112,678 |
|
|
Creditors |
23,027 |
|
|
Provision for doubtful debts as at 1st July 2018 |
1,280 |
|
|
Long term loan (at 10% per annum) |
50,000 |
|
|
Owners capital |
30,640 |
|
|
Retained profits as at 1st July 2018 |
62,901 |
|
|
Sales |
353,800 |
|
|
Purchases |
185,000 |
|
|
Motor expenses |
34,890 |
|
|
Loan interest (all relating to long term loan) |
2,500 |
|
|
Insurance |
56,790 |
|
|
Rent |
24,500 |
|
|
Office expenses |
14,890 |
|
|
Bad debts written off |
600 |
|
|
Totals |
556,648 |
556,648 |
Additional information
Required
In: Accounting
Stacy is a newly hired RN who recently graduated from a BSN program. She is in the process of being oriented or “on boarded” to the hospital. In today’s session, Stacy is going to be introduced to Accu-Chek Inform II system. She has never used this system to obtain blood glucose levels on patients. Using the Foundation of Knowledge Model. Explain How does Stacy become proficient using the 5 parts of the foundation of knowledge?
In: Nursing
Individuals who consume large amounts of alcohol do not use the calories from this source as efficiently as calories from other sources. One study examined the effects of moderate alcohol consumption on body composition and the intake of other foods. Fifteen subjects participated in a crossover design where they either drank wine for the first 6 weeks and then abstained for the next 6 weeks or vice versa. During the period when they drank wine, the subjects, on average, lost 0.31 kilograms (kg) of body weight; when they did not drink wine, they lost an average of 1.13 kg. The standard deviation of the difference between the weight lost under these two conditions is 8.4 kg. During the wine period, they consumed an average of 2572 calories; with no wine, the mean consumption was 2557. The standard deviation of the difference was 206.
(a) Compute the differences in means and the standard errors for comparing body weight and caloric intake under the two experimental conditions. (To find the differences, subtract the relevant scores when the participants did not drink wine from the relevant scores when they did drink wine. Round your standard errors to three decimal places.)
| xD | SE | |
| weight | ||
| caloric intake |
(b) A report of the study indicated that there were no significant
differences in these two outcome measures. Verify this result for
each measure, giving the test statistic, degrees of freedom, and
the P-value. (Use
α = 0.10.
Round your answers for t to three decimal places, and round your P-values to four decimal places.)
| df | t | P-value | |
| weight | |||
| caloric intake |
State your conclusion for body weight.
a) Reject the null hypothesis. There is significant evidence of a difference in body weight.
b) Fail to reject the null hypothesis. There is not significant evidence of a difference in body weight.
c) Reject the null hypothesis. There is not significant evidence of a difference in body weight.
d) Fail to reject the null hypothesis. There is significant evidence of a difference in body weight.
State your conclusion for caloric intake.
a) Fail to reject the null hypothesis. There is not significant evidence of a difference in caloric intake.
b)Reject the null hypothesis. There is significant evidence of a difference in caloric intake.
c) Reject the null hypothesis. There is not significant evidence of a difference in caloric intake.
d) Fail to reject the null hypothesis. There is significant evidence of a difference in caloric intake.
(c) One concern with studies such as this, with a small number of
subjects, is that there may not be sufficient power to detect
differences that are potentially important. Address this question
by computing 95% confidence intervals for the two measures and
discuss the information provided by the intervals. (Round your
answers to three decimal places.)
weight ( kg, kg)
caloric intake ( calories, calories)
Discussion:
(d) Here are some other characteristics of the study. The study
periods lasted for 6 weeks. All subjects were males between the
ages of 21 and 50 years who weighed between 68 and 91 kg. They were
all from the same city. During the wine period, subjects were told
to consume two 135-milliliter (ml) servings of red wine per day and
no other alcohol. The entire 6-week supply was given to each
subject at the beginning of the period. During the other period,
subjects were instructed to refrain from any use of alcohol. All
subjects reported that they complied with these instructions except
for three subjects, who said that they drank no more than three to
four 12-ounce bottles of beer during the no-alcohol period. Discuss
how these factors could influence the interpretation of the
results.
In: Statistics and Probability
The average starting salary of students who graduated from
colleges of Business in 2009 was $48,800. A sample of 100 graduates
of 2010 showed an average starting salary of
$50,000. Assume the standard deviation of the
population is known to be $7000. We want to
determine whether or not there has been a significant
increase in the starting salaries.
|
a. |
State the null and alternative hypotheses to be tested. |
| b. | Compute the test statistic. |
| c. | The null hypothesis is to be tested at the 5% level of significance. Determine the critical value for this test. |
| d. | What do you conclude from the test? |
| e. | What does the test result mean in the context of this problem? |
In: Statistics and Probability
Stacy is a newly hired RN who recently graduated from a BSN program. She is in the process of being oriented or “on boarded” to the hospital. In today’s session, Stacy is going to be introduced to Accu-Chek Inform II system. She has never used this system to obtain blood glucose levels on patients. Using the Foundation of Knowledge Model, (page 11 in textbook), explain how Stacy will be able to become proficient in the new system.
In: Nursing
Use the figure to the right, which shows the percentages of adults from several countries who favor building new nuclear power plants in their country.
The results of the survey in which 1001 adults from Country A, 1025 adults from Country B, 1012 adults from country C, 1018 adults from Country D, and 1010 adults from country E were asked whether national identity is strongly tied to birthplace.
Country a: 36%
County b: 22%
Country c: 28%
Country d: 45%
Country e: 11%
1) The 99% confidence interval for the proportion of adults from Country A who say national identity is strongly tied to birthplace is (__ , __) (Round three decimal places as needed.
2) The 99% confidence interval for the proportion of adults from Country B who say national identity is strongly tied to birthplace is (__ , __) (Round three decimal places as needed.
3) The 99% confidence interval for the proportion of adults from Country C who say national identity is strongly tied to birthplace is (__ , __) (Round three decimal places as needed.
4) The 99% confidence interval for the proportion of adults from Country D who say national identity is strongly tied to birthplace is (__ , __) (Round three decimal places as needed.
5) The 99% confidence interval for the proportion of adults from Country E who say national identity is strongly tied to birthplace is (__ , __) (Round three decimal places as needed.
In: Statistics and Probability
Use the figure to the right, which shows the percentages of adults from several countries who favor building new nuclear power plants in their country. The results of the survey in which 1001 adults from Country A, 1025 adults from Country B, 1012 adults from country C, 1018 adults from Country D, and 1010 adults from country E were asked whether national identity is strongly tied to birthplace.
Country a: 36%
County b: 22%
Country c: 28%
Country d: 45%
Country e: 11%
1) The 99% confidence interval for the proportion of adults from Country A who say national identity is strongly tied to birthplace is (__ , __) (Round three decimal places as needed.
2) The 99% confidence interval for the proportion of adults from Country B who say national identity is strongly tied to birthplace is (__ , __) (Round three decimal places as needed.
3) The 99% confidence interval for the proportion of adults from Country C who say national identity is strongly tied to birthplace is (__ , __) (Round three decimal places as needed.
4) The 99% confidence interval for the proportion of adults from Country D who say national identity is strongly tied to birthplace is (__ , __) (Round three decimal places as needed.
5) The 99% confidence interval for the proportion of adults from Country E who say national identity is strongly tied to birthplace is (__ , __) (Round three decimal places as needed.
In: Statistics and Probability
The video for the week comes from a fellow who shared his life situation and how he turned "nothing into something" We can make the content that every entrepreneur essentially does the same. In a capitalist economy such as ours, we have new products come into the marketplace on a routine basis. That works for the consumer as they benefit from competing sellers which often results in high quality at a better price. The negatives are that it may give the consumer too many choices and as new things come into the marketplace. old items get ignored or pushed out all together.. When video recordings were coming about, the V\Beta company developed its Betamax machine. It was pretty much based on the Hollywood video camera recording machines with huge spools of tape on top to be looped through the machine to be played back. Sony decided that the format was too cumbersome and as a result, they created a product based on the audio cassette wherein the tape would be housed in a single unit that could be plugged into a machine for playback. The VHS system was enjoyed by the consumers more than the Beta system thus pushing Betanax out of the marketplace.
DISUSSION QUESTION:: As entrepreneurs create and bring new items/products to market, should there ever be a restriction on what is allowed to come to market other than regulated things such as air travel, prescription drugs. etc...Why? Why not? discuss in detail.
In: Finance
What is an I-health record and who would benefit from it?
Course: Information Technology for the Health Professions
In: Nursing
Consider the following data from a factorial-design experiment. The DV was “% of participants who offered help to a stranger in distress.”
1.What is the design of this study (e.g., 2 × 2, 2 × 3, etc.)?
2.List the independent variables of this study, and list the levels of each.
3.Sketch a graph of the results of the study. Fill in the names and levels of the IVs.
4.Main effects
-On the average, how does the number of bystanders affect helping?
-On the average, how does the gender of the stranger in need affect helping?
5.Do the graphed data suggest the presence of an interaction effect? If so, describe it.
In: Psychology