The following data represent the results from an independent-measures experiment comparing three treatment conditions. Conduct an analysis of variance with α=0.05α=0.05 to determine whether these data are sufficient to conclude that there are significant differences between the treatments.

F-ratio = _______________
p-value = ______________
Conclusion:

• ___These data do not provide evidence of a difference between the treatments
• ___There is a significant difference between treatments

The results obtained above were primarily due to the mean for the third treatment being noticeably different from the other two sample means. For the following data, the scores are the same as above except that the difference between treatments was reduced by moving the third treatment closer to the other two samples. In particular, 3 points have been subtracted from each score in the third sample.

Before you begin the calculation, predict how the changes in the data should influence the outcome of the analysis. That is, how will the F-ratio for these data compare with the F-ratio from above?

F-ratio = ________
p-value = _______
Conclusion:

• ______These data do not provide evidence of a difference between the treatments
• ______There is a significant difference between treatments

1. Morisot plc supplies mobile phones and network services to retail customers. On 1^st July 2019 it launched its latest model of handset, the Artwork 5. As a promotional offer, customers can sign a three-year contract which provides a free handset at the beginning of the period. The customer then pays £25 per month for unlimited calls, texts and data.

The handsets can be purchased separately for £648 and the monthly plan without the handset is available for £18 per month.

Gurpreet signed a contract on 1^st January 2020.

Requirement

Calculate how much revenue Morisot plc should recognise with respect to Gurpreet’s contract in the year ending 30^th June 2020.   (5 marks)

2. Morisot plc owns a piece of freehold land that it had been using for parking vehicles. However, in order to fund a new strategic development, the directors decided on 18^th June to dispose of the land as it was the only way funds could be raised. The land is carried on the Statement of financial position at the original cost of £60,000 at 30^th June 2020. The directors have appointed an agent to market the property on the company’s behalf. This agent has advised the fair value of the land is £85,000 and is advertising the land at this price. The agent expects in the current market that the sale will be completed within a month. The selling costs are expected to amount to 2% of selling price.

Requirement

Explain, with the aid of calculations, how the transaction should be accounted for in the year ending 30^th June 2020

A particular type of tennis racket comes in a midsize version and an oversize version. Sixty percent of all customers at a certain store want the oversize version. (Round your answers to three decimal places.)

(a) Among ten randomly selected customers who want this type of racket, what is the probability that at least six want the oversize version?

(b) Among ten randomly selected customers, what is the probability that the number who want the oversize version is within 1 standard deviation of the mean value?

(c) The store currently has eight rackets of each version. What is the probability that all of the next ten customers who want this racket can get the version they want from current stock?

(3) (Continued from Question 2) Based on the sample of 10 men with ages and cholesterol levels given in the table in Question 2, answer the following.

(a) At 5% significance level, do the data provide sufficient evidence to conclude that age is useful as a (linear) predictor of cholesterol level? State any assumption(s) you make.

(b) What is the mean estimated cholesterol level for all 74 year old men?

(c) Find a 90% confidence interval for mean cholesterol level for all 74 year old men.

(d) Find a 90% prediction interval for mean cholesterol level for all 74 year old men.

(e) If we wish to add one dummy predictor variable to make a multiple regression model, what would it be?

please show me the math for this

IAS 7 - CONSOLIDATED CASH FLOW

Assume that on 1 January 2003, HH Bhd (HHB) a parent company acquired 75% of interest in subsidiary SS Bhd (SSB). On that date the shareholders’ funds of SSB stood at RM700K. Assume that SSB is the only subsidiary that PPB has. An item of property plant and equipment (PPE) was found to be undervalued by RM40K and was subsequently revalued to its fair value. HHB had paid RM655K in cash. The following are the consolidated financial statement prepared by HHB for 2004 incorporating its subsidiary SSB.

Consolidated Statement of Comprehensive Income for the year ended 31 December 2004

Consolidated Statement of Financial Position as at 31 December 2004

Additional information:

(a) There is no impairment of goodwill recorded for the year.

(b). During current year, HHB paid RM400K dividend. SSB earned net income of RM600K and paid dividend of RM180K.

(c)   During the year, an item of machinery which had originally cost RM140K and had been depreciated RM60K was sold by HHB for RM68K. Another machine was immediately purchased for RM190K.

(d)   An investment which had originally cost RM80K was sold for RM96K cash.

(e)   An additional long term loan of RM50K was obtained during the year.

You are required to prepare:

a).     The worksheet for the preparation of a consolidated cash flow statement.

b).     The consolidated statement of cash flows for the year ended 31 December 2004.

Here comes BBA (Body-By-Agbegha) program again! A group of women of comparable age, weight and height was subjected to three weight loss treatments - BBA1, BBA2 and BBA3.   The table below shows the weight loss for the women.

Test to see whether there is any significant difference in the mean weight loss between the programs. Use a 5% level of significance.

State the null and alternative hypotheses.

Find the critical F value.

State a decision rule.

Find the value of the F Statistics.

Find the p-value.

State your decision.

Draw an appropriate conclusion using the context of the problem.

Consider a paint-drying situation in which drying time for a test specimen is normally distributed with σ = 6. The hypotheses H₀: μ = 74 and H_a: μ < 74 are to be tested using a random sample of n = 25 observations.

(a) How many standard deviations (of X) below the null value is x = 72.3? (Round your answer to two decimal places.)
standard deviations

(b) If x = 72.3, what is the conclusion using α = 0.004?
Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to four decimal places.)

State the conclusion in the problem context.

Do not reject the null hypothesis. There is sufficient evidence to conclude that the mean drying time is less than 74.Reject the null hypothesis. There is not sufficient evidence to conclude that the mean drying time is less than 74.    Reject the null hypothesis. There is sufficient evidence to conclude that the mean drying time is less than 74.Do not reject the null hypothesis. There is not sufficient evidence to conclude that the mean drying time is less than 74.

(c) For the test procedure with α = 0.004, what is β(70)? (Round your answer to four decimal places.)
β(70) =  

(d) If the test procedure with α = 0.004 is used, what n is necessary to ensure that β(70) = 0.01? (Round your answer up to the next whole number.)
n =  specimens

(e) If a level 0.01 test is used with n = 100, what is the probability of a type I error when μ = 76? (Round your answer to four decimal places.)

An unstable nucleus of mass 1.7 ✕ 10−26 kg, initially at rest at the origin of a coordinate system, disintegrates into three particles. One particle, having a mass of m1 = 1.0 ✕ 10−27 kg, moves in the positive y-direction with speed v1 = 5.8 ✕ 106 m/s. Another particle, of mass m2 = 9.0 ✕ 10−27 kg, moves in the positive x-direction with speed v2 = 3.8 ✕ 106 m/s. Find the magnitude and direction of the velocity of the third particle. (Assume that the +x-axis is to the right and the +y-axis is up along the page.) magnitude m/s direction ° counterclockwise from the +x-axis

A manager for an insurance company believes that customers have the following preferences for life insurance products: 40% prefer Whole Life, 20% prefer Universal Life, and 40% prefer Life Annuities. The results of a survey of 209 customers were tabulated. Is it possible to refute the sales manager's claimed proportions of customers who prefer each product using the data? Product Number Whole 86 Universal 54 Annuities 69 Step 4 of 10: Find the expected value for the number of customers who prefer Whole Life. Round your answer to two decimal places. Step 5 of 10: Find the expected value for the number of customers who prefer Universal Life. Round your answer to two decimal places. Step 6 of 10: Find the value of the test statistic. Round your answer to three decimal places. Step 7 of 10: Find the degrees of freedom associated with the test statistic for this problem. Step 8 of 10: Find the critical value of the test at the 0.025 level of significance. Round your answer to three decimal places. Step 9 of 10: Make the decision to reject or fail to reject the null hypothesis at the 0.025 level of significance. Step 10 of 10: State the conclusion of the hypothesis test at the 0.025 level of significance.

In Appendix B in your book there is a table of the ages of Best Actor and Best Actress Oscar award winners. Test the claim at � = 0.05 that proportion of male winners over age 40 is greater than the proportion of female winners over the age of 40.

ACTRESSES
22
37
28
63
32
26
31
27
27
28
30
26
29
24
38
25
29
41
30
35
35
33
29
38
54
24
25
46
41
28
40
39
29
27
31
38
29
25
35
60
43
35
34
34
27
37
42
41
36
32
41
33
31
74
33
50
38
61
21
41
26
80
42
29
33
35
45
49
39
34
26
25
33
35
35
28
30
29
61
32
33
45
29
62
22
44
54

ACTORS
44
41
62
52
41
34
34
52
41
37
38
34
32
40
43
56
41
39
49
57
41
38
42
52
51
35
30
39
41
44
49
35
47
31
47
37
57
42
45
42
44
62
43
42
48
49
56
38
60
30
40
42
36
76
39
53
45
36
62
43
51
32
42
54
52
37
38
32
45
60
46
40
36
47
29
43
37
38
45
50
48
60
50
39
55
44
33

1. State the proportion of Best Actors over age 40.
   
2. State the proportion of Best Actresses over age 40.
   
3. Perform the hypothesis test.
   1. Check Conditions
      State Work here
   2. Hypotheses
      State Work here
   3. Statistic
      State Work here
   4. Critical Value(s)
      State Work here
   5. Test Statistic
      State Work here
   6. P-Value
      State Work here
   7. Decision
      State Work here
   8. Conclusion
      State Work here