PHC261

The 2.4 billion working people in the developing countries often have to endure employment conditions, which do not meet even basic occupational safety and health (OSH) standards. The lack of work safety, excessive workloads, and occupational physical, chemical and biological exposures result in occupational diseases, injuries and as many as 1.2 million fatalities each year. Furthermore, as little as 15% of workers in the developing countries have access to occupational health and safety services.” (Rantanen et al., 2004).

In your own words, to what extent do you agree with the information provided by the quote above? Support your argument by giving further details about developing and developed countries with examples of the services.

Task: To complete this activity, edit the incorrect APA STYLE citations in the following paragraphs. Highlight/circle the mistakes and write/type out the correct citations within each paragraph. Then rewrite a new sentence in correct APA STYLE.

1. Red and blue make green (York, Butler, and Robin). Purple and white make lavender (York, Butler, and Robin, 1996; Abercrombie & Fitch, 1996). Smithers and Brown demonstrated that black and white make grey (2002), and these finding have been replicated in other laboratories (Baker, 2001; Collin, Johnson, Walker, Marmot, Greeves, Cohen, Silverman, and Loddy, 2004; Baker, 2003). The debate continues about the result of adding yellow to orange (Griffith, Tory, Burch) 2002.

UBTECH Robotics is expected to generate the following free cash flows over the next five years. After which, the free cash flows are expected to grow at the industry average of 3% per year. Using the discounted free cash flow model and the weighted average cost of capital of 11%

UBTECH Robotics FCF Forecast ($ Millions) Year 1999, 2000, 2001, 2002, 2003, 2004

FCF (Amount in Millions)$55, $45, $89, $102, $84, $87

a. Estimate the enterprise value (V0) of UBTECH Robotics.

b. If UBTECH Robotics has excess cash of $5.6 Billion, a debt of $800 Million and 50 Million shares outstanding, estimate its share price (P0).

In 1993, Skysong Company completed the construction of a building at a cost of $2,120,000 and first occupied it in January 1994. It was estimated that the building will have a useful life of 40 years and a salvage value of $64,000 at the end of that time. Early in 2004, an addition to the building was constructed at a cost of $530,000. At that time, it was estimated that the remaining life of the building would be, as originally estimated, an additional 30 years, and that the addition would have a life of 30 years and a salvage value of $21,200. In 2022, it is determined that the probable life of the building and addition will extend to the end of 2053, or 20 years beyond the original estimate.

Compute the annual depreciation to be charged, beginning with 2022. (Round answer to 0 decimal places, e.g. 45,892.)

# R Hypothesis Tests

install.packages("dplyr")

tScore_before <- c(40, 62, 74, 22, 64, 65, 49, 49, 49)

tScore_after <- c(68, 61, 64, 76, 90, 75, 66, 60, 63)

# Create a data frame

my_data <- data.frame(

                group = rep(c("Score Before", "Score After"), each = 9),

                scores = c(tScore_before, tScore_after)

                )

# Print all data

print(my_data)

#Compute summary statistics by groups

library(dplyr)

group_by(my_data, group) %>%

summarise(

    count = n(),

    mean = mean(scores, na.rm = TRUE),

    sd = sd(scores, na.rm = TRUE)

)

# Compute Unpaired Two Sample t-test

res <- t.test(tScore_before, tScore_after, var.equal = TRUE)

res

# Compute independent t-test

res <- t.test(scores ~ group, data = my_data, var.equal = TRUE)

res

#test whether the average score before score is less than the average after score, type this:

t.test(scores ~ group, data = my_data,

        var.equal = TRUE, alternative = "less")

The instructions say to include a snippet of the graph created but I do not get a graph after running this code. Just wanted to make sure there is not one.

placebo: 110, 89, 86, 87, 85, 87, 74, 85 sleeping pill: 99, 84, 94, 87, 87, 106,102, 91 given data above. patients are testing out the new sleeping pill. Subjects' rapid eye movement (REM) was measures before and after they received the sleeping pill. 1)critical t or z value? 2)reject or fail to reject the null hypothesis 3)compute 95% confidence interval around the sample mean 4) compute Cohens d and explain its meaning 5) summarize your results using the correct format

(a) What is the 11^th percentile for the following Grouped Frequency Data Table?

(b) What is the 4^th decile for the following Grouped Frequency Data Table?

Height: 62, 67, 62, 63, 67, 74, 63, 73, 63

Weight: 130, 140, 102, 140, 145, 157, 130, 190, 135

2. (CLO 1) Construct a confidence interval to estimate the mean height and the mean weight by completing the following:

a. Find the sample mean and the sample standard deviation of the height.

b. Find the sample mean and the sample standard deviation of the weight.

c. Construct and interpret a confidence interval to estimate the mean height.

d. Construct and interpret a confidence interval to estimate the mean weight.

3. (CLO 2) Test a claim that the mean height of people you know is not equal to 64 inches using the p-value method or the traditional method by completing the following:

a. State H0 and H1.

b. Find the p value or critical value(s).

c. Draw a conclusion in context of the situation.

4. (CLO 3) Create a scatterplot with the height on the x-axis and the weight on the y-axis. Find the correlation coefficient between the height and the weight. What does the correlation coefficient tell you about your data? Construct the equation of the regression line and use it to predict the weight of a person who is 68 inches tall.

5. Write a paragraph or two about what you have learned from this process. When you read, see, or hear a statistic in the future, what skills will you apply to know whether you can trust the result?

Tel-Skein is a call centre which fields all queries by customers of a national bank. Calls that are put through to operators who specialise in queries regarding ‘Lost or Stolen Debit Cards’ occur at random at a mean rate of 90 per hour.

(i) What is the probability distribution, including its parameter(s), of the number of calls arriving in this part of the call centre during a two-minute interval? (There is no need to calculate any probabilities in this part of the question).

(ii) Data have been collected on numbers of customers calling this part of the call centre in 100 two-minute periods and are summarised below. Use an appropriate test to investigate whether or not the data are consistent with your answer to part (i). Explain your method and conclusions carefully.

(iii)On Sundays, Tel-Skein runs a ‘skeleton-shift’ (i.e. it employs a reduced number of operators). As a result, operators specialising in ‘Lost or Stolen Debit Cards’ also have to field calls regarding ‘Bill Payments’. Calls regarding ‘Bill Payments’ occur at random at a mean rate of 150 per hour.

Assuming the call rate for ‘Lost or Stolen Debit Cards’ is unchanged, what is the probability that, during a one-minute period on Sundays, there will be between 3 calls and 5 calls; and what is the probability that the gap between calls will exceed 30 seconds?