b) Braun and Clarke (2006) summarise thematic analysis according to six phases. The first of these phases (i.e., Phase 1) is titled ‘familiarizing yourself with your data’. Reflecting on this phase: summarise the key activities a researcher would perform during this phase; and identify any challenge(s) associated with performing these activities.
c) It is important for qualitative researchers to provide evidence of the trustworthiness of their study. Briefly describe three techniques that could be used by a researcher to increase the trustworthiness of their data and conclusions
In: Statistics and Probability
When looking at data on average life expectancy in different developed countries, the average life expectancy in the United States is significantly lower than that of many other developed countries. What are three factors that contribute to this lower life expectancy, and how are they related to each other? What is a realistic way to help reduce these problems?
In: Biology
The following data give the number of hours 55 students spent studying and their corresponding grades on their midterm exams.
| Hours Studying | 2 | 5 | 5 | 5 | 5 |
|---|---|---|---|---|---|
| Midterm Grades | 68 | 74 | 81 | 92 | 99 |
Step 4 of 5 :
Construct the 90% confidence interval for the slope. Round your answers to three decimal places.
In: Statistics and Probability
Introduction to Engineering Materials Question:
A beam of light hits a 2.48cm thick silicate glass plate at an angle of 74 degrees (as measured from the normal to the surface of the glass). If the coefficient of linear absorption is 0.027 cm-1 and the index of refraction is 1.488, what fraction of light is passed through the plate. The answer should have three decimals of accuracy.
In: Mechanical Engineering
The following data give the number of hours 55 students spent studying and their corresponding grades on their midterm exams.
| Hours Studying | 2 | 5 | 5 | 5 | 5 |
|---|---|---|---|---|---|
|
Midterm Grades |
68 | 74 | 81 | 92 | 99 |
Step 5 of 5 :
Construct the 99% confidence interval for the slope. Round your answers to three decimal places.
In: Statistics and Probability
Bikes Ltd. offers customers a loyalty card whereby customers receive a stamp every time they have their bike tuned up. Upon presentation of 5 stamps, customers are entitled to receive a bike light for $5. It is expected that 75% of the stamps will be redeemed. Tune-ups cost $20 and retail for $50 each; lights cost $10 and retail for $25. 1,000 lights have been purchased as prizes. In 20X9, 6,000 tune-ups were completed and 750 lights were given out. Bikes use the residual value method to allocate the transaction price to performance obligations. Required: (a) Assume Bikes Ltd. is a public company using IFRS. Calculate the following balances at Bikes year ended December 31, 20X9: total revenue, premium expense, premium inventory, and unearned revenue. Clearly indicate whether each balance is a debit or credit. (b) Assume Bikes Ltd. is a private company using ASPE. Calculate the following balances at Bikes year-ended December 31, 20X9: total revenue, premium expense, premium inventory, and estimated liability for premiums. Clearly indicate whether each balance is a debit or credit.
In: Computer Science
Here is the R code for running a t-test:
t.test( numeric vector of data values, another optional numeric vector of data values,
alternative = c("two.sided", "less", "greater"),
mu = Ho, paired = c(TRUE, FALSE), var.equal = c(TRUE,FALSE),conf.level =1-)
2)
You want to determine if the average height of men in California is greater than the average height of men in Nebraska. You take a random sample of 30 men in California and 30 men in Nebraska. The data below represents the heights of the men in inches. Write the R code that does the following:
H0: Difference in means in populations is zero.
Ha: Difference in means in the populations is not zero.
NE_heights<-c( 73.5, 68.5, 70, 63, 64, 65, 64, 70, 61, 61.25, 69, 73, 69, 66, 69.5, 68,
64, 64, 72.5, 69, 67, 63, 66.5, 70.5, 64, 67, 71, 74, 68, 65)
CA_heights <- c( 72, 73.5, 74, 75, 66, 78, 70, 73, 74, 68, 71, 68, 67, 66, 73, 72, 82, 71, 64, 72, 65, 66, 69, 83, 67, 74, 76, 65, 74, 79)
a.) Makes two boxplots, an orange one for the CA_heights data and a red one for the NE_heights data which labels the main title "Men’s heights California vs Nebraska" and names the CA_heights data as "CA heights" and the NE_heights data as "NE heights".
b.) Computes the, sample size, mean and standard deviation of both CA_heights and NE_heights data.
c.) Performs an unpaired "less" than t-test with =.02 to decide whether there is a statistically significant difference between men’s heights in California and Nebraska.
d.) Paste your R code into Run R Script and run the script.
e.) Paste the R output to the bottom R code.
f.) Looking at the p-value in the R output, decide if there is evidence to suggest that there is a statistically significant difference between men’s heights in California and Nebraska.
Write the p-value and your conclusion at the top of your R code.
In: Statistics and Probability
We wish to estimate what percent of adult residents in a certain
county are parents. Out of 100 adult residents sampled, 74 had
kids. Based on this, construct a 99% confidence interval for the
proportion p of adult residents who are parents in this
county.
Express your answer in tri-inequality form. Give your answers as
decimals, to three places.
< p < Express the same answer using the point
estimate and margin of error. Give your answers as decimals, to
three places.
In: Statistics and Probability
| Part 1 | ||||||||||||
| Aeronautics Company designs and manufactures electronic control systems for commercial airlines. | ||||||||||||
| Aeronautics Company does contract work for the two major aircraft makers and three other companies that make the narrow-body commercial jets. | ||||||||||||
| This is a very competitive field that Aeronautics Company operates in. | ||||||||||||
| It is imperative they manage the non-manufacturing overhead costs effectively in order to achieve an acceptable net profit margin. | ||||||||||||
| With declining profit margins in recent years, the CEO has become concerned that the cost of obtaining contracts and maintaining relations with its five customers may be getting out of hand. | ||||||||||||
| You have been hired to conduct a customer profitability analysis. | ||||||||||||
| Below is applicable revenue and cost information you should include in your customer profitability analysis. | ||||||||||||
| Sales | ||||||||||||
| Customer 1 | $18,000,000 | |||||||||||
| Customer 2 | 13,000,000 | |||||||||||
| Customer 3 | 4,000,000 | |||||||||||
| Customer 4 | 5,000,000 | |||||||||||
| Customer 5 | 4,000,000 | |||||||||||
| $44,000,000 | ||||||||||||
| Cost of Good Sold (COGS) as a percentage of sales is the following: | 80% | of Total Sales generated | ||||||||||
| Aeronautics Company selling and customer support team receives the following sales commissions on each customer account: | 6% | Sales generated per customer | ||||||||||
| The accounting staff determined the additional selling and customer support expenses related to the following four activity cost pools and the cost per activity. | ||||||||||||
| Usage of cost driver per customer | ||||||||||||
| Activity | Activity Cost Driver Data | Cost per unit of activity | Customer 1 | Customer 2 | Customer 3 | Customer 4 | Customer 5 | |||||
| 1. Sales Visits | Number of visit days | $1,300 | 106 | 130 | 52 | 34 | 16 | |||||
| 2. Product adjustments | Number of adjustments | 1,250 | 23 | 36 | 10 | 6 | 5 | |||||
| 3. Phone and email contracts | Number of calls/contracts | 150 | 220 | 354 | 180 | 138 | 104 | |||||
| 4. Promotion and entertainment events | Number of events | 1,400 | 82 | 66 | 74 | 18 | 10 | |||||
| In addition to the above, the sales staff used the corporate jet for trips to customers at a cost per hour as stated below and jet hours used per customer as follows: | ||||||||||||
| There is a cost of | $900 | hour | ||||||||||
| Hours used of jet | ||||||||||||
| Customer 1 | 24 | |||||||||||
| Customer 2 | 36 | |||||||||||
| Customer 3 | 5 | |||||||||||
| Customer 4 | 0 | |||||||||||
| Customer 5 | 6 | |||||||||||
| Required: | ||||||||||||
| 1. Develop a customer profitability analysis for Aeronautics Company that shows the sales, cost of goods sold, gross profit on sales, and all costs that can be assigned to the five customers. | ||||||||||||
| Include the customer profitability ratio for each customer and the company. Make sure you use cell references to make all your calculations. | ||||||||||||
| 2. What type of actions might the company take as a result of this analysis? You need to specifically reference the different customers in the analysis you have performed in your answer to this question. | ||||||||||||
| Solution: | Make sure you use cell references to make all your calculations. | |||||||||||
In: Accounting
To study the effect of temperature on yield in a chemical process, five batches were produced at each of three temperature levels. The results follow.
|
Temperature |
||||
| 50°C | 60°C | 70°C | ||
| 37 | 35 | 30 | ||
| 27 | 36 | 35 | ||
| 39 | 39 | 35 | ||
| 42 | 28 | 37 | ||
| 35 | 32 | 38 | ||
A. Construct an analysis of variance table (to 2 decimals, if necessary). Round p-value to four decimal places.
| Source of variation | sum of squares | degrees of freedom | mean square | F | P- Value |
| Treatments | |||||
| Error | |||||
| Total |
Use a .05 level of significance to test whether the temperature
level has an effect on the mean yield of the process.
The p-value is=
(less than .01; between .01 and .025; between .025 and .05;
between .05 and .10; greater than .10)
What is your conclusion?
In: Statistics and Probability