Please answer all parts

1. Confidence Interval Given. Assume I created a 95% confidence interval for the mean hours studied for a test based on a random sample of 64 students. The lower bound of this interval was 3.1416 and the upper bound was 18.6282. Assume that when I created this interval I knew the population standard deviation. Keep all decimals in your calculations.

a) Calculate the width of the interval.

(b) Calculate the margin of error for the interval.

(c) Calculate the center of the interval.

(d) What is the sample mean?

(e) What is the z ∗ (or zα/2) used? (

f) Calculate the population standard deviation. [Do not use the Empirical Rule.]

Suppose that the distribution of scores on an exam is mound shaped and approximately symmetric. The exam scores have a mean of 110 and the 16th percentile is 85. (Use the Empirical Rule.)

(a)

What is the 84th percentile?

(b)

What is the approximate value of the standard deviation of exam scores?

(c)

What is the z-score for an exam score of 90?

(d)

What percentile corresponds to an exam score of 160?

%

(e)

Do you think there were many scores below 35? Explain.

Since a score of 35 is  ---Select--- one standard deviation two standard deviations  three standard deviations  below the mean, that corresponds to a percentile of  %. Therefore, there were  ---Select--- many few scores below 35.

1. Why do some firms appear to embrace the minimum wage legislation?
2. Looking at examples for minimum wage around the world, what are the likely forces driving behind this legislation? Is the minimum wage legislation tied to income per capita or income inequality?
3. The empirical evidence of the impact of minimum wage legislation on employment and local economies is mixed. In fact, studies have found, negative, positive and zero impact. Can you explain this discrepancy?
4. How do attitudes towards minimum wage legislation vary between those who are unemployed, employed with very low salaries (lower than the proposed minimum wage), employed with a good salary, and not in the labour force?

You perform a combustion analysis of 0.255g of a compound that contains C, H and O. You produce 0.561 g of CO₂ and 0.306g of H₂O.

A. How many grams of carbon and hydrogen did you produce?

a)0.154g C & 0.034g H b)0.225g C & 0.068g H c)0.0128g C & 0.017g H d)0.306g C & 0.278g H

B. How many grams of oxygen were there in the original compound?

a)0.081   b)0.091  c)0.055 d)0.067

C. What is the empirical formula of the compound?

a)C2H602 b)C3H8O2   c)C3H8O d)C3H6O

How many grams of oxygen were there in the original compound?

Given their performance record and based on empirical rule what would be the lower bound of the range of sales values that contains 68% of the monthly sales?

1) Suppose a normally distributed set of data has a mean of 179 and a standard deviation of 17. Use the 68-95-99.7 Rule to determine the percent of scores in the data set expected to be below a score of 213. Give your answer as a percent and includeas many decimal places as the 68-95-99.7 rule dictates. (For example, enter 99.7 instead of 0.997.)

2) Suppose a normally distributed set of data with 2800 observations has a mean of 100 and a standard deviation of 15. Use the 68-95-99.7 Rule to determine the number of observations in the data set expected to be below a value of 145. Round your result to the nearest single observation.

3) Suppose a normally distributed set of data with 6100 observations has a mean of 163 and a standard deviation of 16. Use the 68-95-99.7 Rule to determine the number of observations in the data set expected to be above a value of 147. Round your answer to the nearest whole value.

4) In a mid-size company, the distribution of the number of phone calls answered each day by each of the 12 receptionists is bell-shaped and has a mean of 53 and a standard deviation of 8. Using the empirical (68-95-99.7) rule, what is the approximate percentage of daily phone calls numbering between 37 and 69?

5) The physical plant at the main campus of a large state university receives daily requests to replace florescent light bulbs. The distribution of the number of daily requests is bell-shaped and has a mean of 61 and a standard deviation of 8. Using the empirical (68-95-99.7) rule, what is the approximate percentage of light bulb replacement requests numbering between 61 and 77? Do not enter the percent symbol.

Please provide an aswer and reference(s) to the question below from a classmate. Thank you in advance!

Class,

I am having a problem with the following problem:

A certain brand of automobile tire has a mean life span of 39,000 miles and a standard deviation of 2,250 miles.​ (Assume the life spans of the tires have a​ bell-shaped distribution.)

For the life span of 34,000 miles, z-score is = 34,000 x 39,000 = -2.22

2,250

For the life span of 34,000 miles, z-score is = 38,000 x 39,000 = -0.44

2,250

For the life span of 34,000 miles, z-score is = 31,000 x 39,000 = -3.56

2,250

The following is the part I am having trouble with:

The life spans of three randomly selected tires are 34,500 miles, 43,500 miles, and 39,000

miles. Using the empirical​ rule, find the percentile that corresponds to each life span:

1. The life span 34,500 miles corresponds to the ___th percentile?

2. The life span 43,500 miles corresponds to the ___th percentile?

3. The life span 39,000 miles corresponds to the ___th percentile?

I have found in the text in Chapter 2, p.88 where it talks about Empirical Rules and Bell-Shaped Distribution. I did find that number 3 is "50"th percentile, as it is also the mean value in this problem set. Numbers 1 and 2 I am having an issue calculating. Any help from my battle buddies would be outstanding. Thank you in advance!

Reference:

Larson, R. & Farber, B. (2015). Elementary Statistics: picturing the world. 6th edition.

Axel Heckman is the engagement partner for the financial report audit of Sturfolks Equipment Ltd for
the year ended 30 June 2018. The following material events or transactions have come to Axel’s
attention before he is scheduled to issue his report on 31 August 2018:


(a) On 14 July 2018, Sturfolks Equipment settled and paid a personal injury claim of a former
employee as a result of an accident that occurred in March 2017. The company has not
previously recorded a liability for the claim.


(b) On 17 July 2018, Sturfolks Equipment agreed to purchase for cash the outstanding shares of
Recreational Equipment Ltd. This acquisition is likely to double the sales volume of Sturfolks
Equipment.


(c) On 20 July 2018, the directors became aware of broken glass found in their pre-packaged
sandpits. This product had only been on sale for two weeks and had been purchased directly
from the manufacturer, NSWPIT Ltd, an unrelated company in Thailand, one week prior to
being introduced to the public.


(d) On 3 August 2018, a plant owned by Sturfolks Equipment was damaged in a flood, resulting in an uninsured loss of inventory.

For each of the above events or transactions, identify audit procedures that should have brought the
item to the auditor’s attention, and determine the treatment required in the financial report for the
year ended 30 June 2018.

1. Charlotte, Inc. began business on January 1, 2017. Its pretax financial income for the first two year was as follows:

The following Items cased the only differences between pretax financial income and taxable income.

i. In 2017, the company collected $105,000 of rent; of this amount, $35,000 was earned in 2017; the other $70,000 will be earned equally over the 2018-19 period. The full $105,000 was included in the taxable income in 2017.

ii. In 2017, the company reported depreciation expense in its financial statements of $80,000. Depreciation expense for tax purposes was 110,000. The difference will revere evenly over the next three years (2018-2020).

The tax rate in 2017 is 30% and no tax rate changes are enacted during the three year period.

Required:

a. Determine taxable income for 2017 and 2018.

b. Determine the deferred income taxes at the end of 2017, and prepare the journal entry to record income taxes for 2017.

c. Determine the deferred income taxes at the end of 2018, and prepare the journal entry to record income taxes for 2018.

d. Prepare the Income Tax section of the income statement, starting with Pretax Net Income and ending with Net Income after Taxes for both 2017 and 2018.

On May 1, 2018, Delta Airlines buys 100 SkyFlight Food Service, Inc. bonds for $1,015 each. Delta classifies this investment as available for sale. This is the first available for sale investment Delta has recorded and the only item that affects comprehensive income during this time period. During 2018, SkyFlight pays all bondholders $42 interest per bond. At the end of 2018, the bonds of Skyflight are trading for $1,020 each. During 2019, Skyflight pays all bondholders interest of $75 per bond. At the end of 2019, the bonds of Skyflight are trading for $1,014 per bond. On May 1, 2020, Delta Airlines sells all of its Skyflight bonds for $1,010 per bond. No interest was paid by Skyflight in 2020. Net income before anything to do with Skyflight (even the interest is not included) for Delta was $20 million in 2018, $16 million in 2019 and $18 million in 2020 after taxes. The tax rate is 20% for all years.

Requirements:

a. Show all the needed journal entries for the Skyflight stock from purchase to sale.

b. Show the statement of comprehensive income for 2018, 2019 and 2020.

c. If accumulated other comprehensive income is $500,000 at the beginning of 2018, what is the accumulated other comprehensive income at the end of 2018, 2019 and 2020