| You have been hired as an accountant for NFT Consulting Inc. This business was created when some friends decided to make use of their newly minted college degrees and go into business together. The business was created on November 1, 2017. The company will have a fiscal year end of October 31st. The initial formation transactions and early purchases for NFT Consulting Inc. resulted in the balances that are included in the first 2 columns of the Worksheet. (see the worksheet tab) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| During November, the first month of operations, the following transactions occurred: Record Journal Entires for these transactions | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Date | Event | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 1-Nov | Paid $7,200 for 12 months rent on office space | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2-Nov | Purchased office furniture for $8,950. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 3-Nov | Purchased $11,354 of additional office supplies on account. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 8-Nov | Borrowed 20,000 from the bank for operating cash. The note has a 3% interest rate (simple interest) and is to be paid back in 4 years | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 15-Nov | Received $10,800 from Fortuna Inc. for work to be performed over the next 12 months. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 20-Nov | Paid $1,560 for utilities. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 21-Nov | Performed services for various customers for $13,200 cash and another $18,100 on account. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 25-Nov | Paid $8,650 for purchases of supplies previously made on account. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 27-Nov | Paid salaries to employees totaling $5,200 for 1 week. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 30-Nov | Collected $12,300 as payment for amounts previously billed. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 30-Nov |
Dividends of $3,000 were declared and paid. (Worksheet tab)
|
In: Accounting
A. The electric potential at a position located a distance of 19.2 mm from a positive point charge of 7.80×10-9C and 13.0 mm from a second point charge is 1.14 kV. Calculate the value of the second charge.
B. The potential difference between two parallel conducting plates in vacuum is 590 V. An alpha particle with mass of 6.50×10-27 kg and charge of 3.20×10-19 C is released from rest near the positive plate. What is the kinetic energy of the alpha particle when it reaches the other plate? The distance between the plates is 45.0 cm.
In: Physics
You are given an ANOVA table below with some missing
entries.
| Source Variation |
Sum |
Degrees |
Mean |
F |
| Between Treatments |
3 |
1198.8 |
||
| Between Blocks |
5040 |
6 |
840 |
|
| Error |
5994 |
18 |
||
| Total |
27 |
| a. | State the null and alternative hypotheses. |
| b. | Compute the sum of squares due to treatments. |
| c. | Compute the mean square due to error. |
| d. | Compute the total sum of squares. |
| e. | Compute the test statistic F. |
| f. | Test the null hypothesis stated in Part a at the 1% level of significance. Be sure to state your conclusion. |
In: Statistics and Probability
Please show your work.
A. If a normal distribution of scores has a mean of 100 and a standard deviation of 10, what percentage of scores would lie below 70? a. 0.13%. b.2.15%. c. 2.28% d. 99.87%
B. What percentage of scores lie between 85 and 100 for a normal distribution with a mean of 100 and a standard deviation of 15? a. +15% b.-15% c.34.13% d. -34.13%
C What percentage of scores lie between 70 and 80 for a normal distribution with the mean of 100 and a standard deviation of 10? a.+27% b.-13% c.-7%. d. 2.15%.
In: Math
For the Chapter 4 problems, show all work in an Excel book, labeling each item by the problem number. Save the file in the format flastname_Unit_1_Learning_Activity.xlsx, where flastname is your first initial and your last name, and submit it to the appropriate Dropbox. For full credit, be sure to use appropriate formulas to solve each exercise or problem.
In: Accounting
For the Chapter 4 problems, show all work in an Excel book, labeling each item by the problem number. Save the file in the format flastname_Unit_1_Learning_Activity.xlsx, where flastname is your first initial and your last name, and submit it to the appropriate Dropbox. For full credit, be sure to use appropriate formulas to solve each exercise or problem.
In: Finance
a. Find three rational numbers between
3/4 and 0. 75 overbar
b. Find three rational numbers between 1/9
and 0. 12 overbar
In: Math
| number of absences | 6 | 2 | 15 | 9 | 12 | 5 | 8 |
| final grade | 82 | 86 | 43 | 74 | 58 | 90 | 65 |
The data below were obtained in a study on the number of absences and the final grades (in percentages) of seven randomly selected students in a statistics class. Number of absences 6 2 15 9 12 5 8 Final grade 82 86 43 74 58 90 65 (2 4 6 8 10 12 14 5 0 6 0 7 0 8 0 9 0 absences g ra d e s) (this is just the scattered plot which i could not place here)
3 a) Consider the scatterplot of the data above and describe the association between the number of absences and the final grade. Is linear regression appropriate here?
b) Perform linear regression analysis in SPSS. Write down the linear regression equation that relates the final grades and the number of absences.
c) A 90% confidence interval for x = 10 is (58.996, 69.897). Interpret it.
d) Find a 95% confidence interval for the slope of the regression line.
e) Interpret the slope of the regression line.
f) Interpret the y-intercept of the regression line.
g) What assumptions do you need for performing the linear regression analysis in part b)?
In: Statistics and Probability
A consumer buying cooperative tested the effective heating area of 20 different electric space heaters with different wattages. Here are the results.
| heater | Wattage | Area | ||
| 1 | 1,500 | 74 | ||
| 2 | 1,000 | 237 | ||
| 3 | 1,500 | 50 | ||
| 4 | 1,500 | 133 | ||
| 5 | 1,500 | 89 | ||
| 6 | 2,000 | 285 | ||
| 7 | 1,500 | 251 | ||
| 8 | 1,250 | 291 | ||
| 9 | 1,000 | 121 | ||
| 10 | 1,750 | 148 | ||
| 11 | 1,750 | 111 | ||
| 12 | 1,000 | 254 | ||
| 13 | 1,750 | 103 | ||
| 14 | 1,000 | 299 | ||
| 15 | 1,250 | 115 | ||
| 16 | 1,000 | 200 | ||
| 17 | 1,750 | 106 | ||
| 18 | 1,250 | 74 | ||
| 19 | 1,500 | 64 | ||
| 20 | 1,250 | 64 | ||
1. Compute the correlation between the wattage and heating area. Is there a direct or an indirect relationship? (Round your answer to 4 decimal places.) 2. Conduct a test of hypothesis to determine if it is reasonable that the coefficient is greater than zero. Use the 0.100 significance level. (Round intermediate calculations and final answer to 3 decimal places.) H0: ρ ≤ 0; H1: ρ > 0 Reject H0 if t > 1.330 3. Develop the regression equation for effective heating based on wattage. (Negative value should be indicated by a minus sign. Round your answers to 3 decimal places.) 4. Which heater looks like the “best buy” based on the size of the residual? (Round residual value to 3 decimal places.)
In: Statistics and Probability
| DEHS Data Set for Assessment Projects | ||||||||||||||||
| INTD 5064 Applied Statistics for Health Care Practitioners | ||||||||||||||||
| CI Subjects | ||||||||||||||||
| Subject ID | Group | Gender | Mode of Communication | ESP-Pre | TL-Pre | AC-Pre | EC-Pre | ESP Post | CLS-Post | RLI-Post | ELI-Post | LCI-Post | LSI-Post | GF-Post | ||
| C01 | 1 | 1 | 1 | 1 | 86 | 89 | 95 | 3 | 95 | 96 | 99 | 90 | 88 | 101 | ||
| C02 | 1 | 2 | 1 | 1 | 82 | 85 | 85 | 3 | 85 | 89 | 87 | 83 | 78 | 89 | ||
| C03 | 1 | 1 | 1 | 1 | 85 | 78 | 80 | 3 | 90 | 92 | 88 | 88 | 84 | 85 | ||
| C04 | 1 | 1 | 1 | 2 | 81 | 81 | 82 | 2 | 80 | 88 | 84 | 79 | 76 | 105 | ||
| C05 | 1 | 2 | 1 | 1 | 92 | 95 | 100 | 4 | 100 | 100 | 95 | 98 | 104 | 82 | ||
| C06 | 1 | 1 | 1 | 1 | 79 | 80 | 72 | 4 | 92 | 94 | 90 | 92 | 82 | 90 | ||
| C07 | 1 | 1 | 1 | 1 | 78 | 80 | 74 | 3 | 84 | 88 | 79 | 86 | 80 | 80 | ||
| C08 | 1 | 2 | 1 | 1 | 111 | 115 | 102 | 3 | 120 | 122 | 112 | 109 | 110 | 102 | ||
| C09 | 1 | 1 | 1 | 2 | 87 | 89 | 79 | 4 | 88 | 92 | 87 | 87 | 82 | 82 | ||
| C10 | 1 | 2 | 1 | 2 | 99 | 98 | 89 | 4 | 100 | 98 | 90 | 104 | 106 | 95 | ||
| C11 | 1 | 1 | 1 | 1 | 67 | 69 | 68 | 3 | 79 | 84 | 82 | 70 | 78 | 77 | ||
| C12 | 1 | 2 | 2 | 1 | 102 | 100 | 98 | 2 | 95 | 98 | 93 | 96 | 90 | 82 | ||
| C13 | 1 | 1 | 2 | 1 | 74 | 74 | 70 | 2 | 70 | 72 | 70 | 71 | 68 | 74 | ||
| C14 | 1 | 2 | 2 | 1 | 68 | 65 | 70 | 1 | 67 | 69 | 66 | 65 | 68 | 70 | ||
| C15 | 1 | 1 | 2 | 1 | 95 | 90 | 101 | 2 | 90 | 92 | 88 | 85 | 95 | 87 | ||
| C16 | 1 | 1 | 2 | 1 | 75 | 77 | 76 | 2 | 72 | 75 | 70 | 74 | 68 | 69 | ||
| Non CI Subjects | ||||||||||||||||
| Subject ID | Group | Gender | Mode of Communication | ESP-Pre | TL-Pre | AC-Pre | EC-Pre | ESP Post | CLS-Post | RLI-Post | ELI-Post | LCI-Post | LSI-Post | GF-Post | ||
| S01 | 2 | 2 | 2 | 1 | 95 | 89 | 100 | 2 | 93 | 89 | 85 | 100 | 92 | 82 | ||
| S02 | 2 | 1 | 2 | 1 | 87 | 85 | 95 | 1 | 80 | 83 | 82 | 80 | 78 | 70 | ||
| S03 | 2 | 2 | 2 | 2 | 76 | 78 | 80 | 1 | 78 | 72 | 70 | 77 | 80 | 65 | ||
| S04 | 2 | 1 | 2 | 1 | 75 | 73 | 72 | 2 | 73 | 71 | 72 | 75 | 72 | 68 | ||
| S05 | 2 | 1 | 2 | 1 | 79 | 78 | 80 | 1 | 80 | 70 | 72 | 85 | 81 | 63 | ||
| S06 | 2 | 1 | 2 | 1 | 77 | 78 | 74 | 1 | 75 | 77 | 68 | 85 | 70 | 71 | ||
| S07 | 2 | 1 | 2 | 1 | 78 | 80 | 72 | 2 | 72 | 75 | 70 | 72 | 69 | 60 | ||
| S08 | 2 | 2 | 2 | 1 | 77 | 81 | 75 | 1 | 80 | 89 | 73 | 75 | 78 | 65 | ||
| S09 | 2 | 1 | 2 | 1 | 87 | 88 | 84 | 1 | 80 | 84 | 80 | 75 | 80 | 68 | ||
| S10 | 2 | 1 | 2 | 1 | 89 | 98 | 82 | 3 | 90 | 100 | 85 | 85 | 85 | 78 | ||
| S11 | 2 | 2 | 2 | 1 | 90 | 94 | 92 | 1 | 85 | 90 | 82 | 79 | 87 | 72 | ||
| S12 | 2 | 1 | 2 | 1 | 73 | 78 | 72 | 1 | 70 | 74 | 67 | 79 | 68 | 66 | ||
| S13 | 2 | 2 | 2 | 1 | 74 | 74 | 75 | 1 | 70 | 72 | 69 | 67 | 75 | 67 | ||
| S14 | 2 | 2 | 2 | 1 | 68 | 65 | 68 | 2 | 62 | 60 | 61 | 67 | 60 | 55 | ||
| S15 | 2 | 1 | 2 | 1 | 75 | 74 | 72 | 1 | 71 | 77 | 67 | 75 | 71 | 70 | ||
| S16 | 2 | 1 | 2 | 1 | 74 | 77 | 73 | 1 | 77 | 74 | 68 | 80 | 72 | 65 | ||
7. Trautwein and Ammerman are curious how the CI group compares to the norm on CLS at the end of the study.
a. What inferential test should the researchers use? Why?
b. What are the independent and dependent variables?
c. Using the A-B-C-D format used in class, answer Drs. Trautwein and Ammerman’s research question.
In: Statistics and Probability