Questions
The following data give the number of hours 5 students spent studying and their corresponding grades...

The following data give the number of hours 5 students spent studying and their corresponding grades on their test. Hours Studying 3 3 4 5 5 test Grades 72 74 74 75 79 Table

Step 1 of 5: Calculate the sum of squared errors (SSE). Use the values b0=66.8000 and b1=2.0000 for the calculations. Round your answer to three decimal places

Step 2 of 5: Calculate the estimated variance of errors, s2e. Round your answer to three decimal places.

Step 3 of 5: Calculate the estimated variance of slope, s2b1. Round your answer to three decimal places.

Step 4 of 5: Construct the 80% confidence interval for the slope. Round your answers to three decimal places.

Step 5 of 5: Construct the 98% confidence interval for the slope. Round your answers to three decimal places.

In: Statistics and Probability

Ice Factory, a sno-cone stand, opened on the perimeter of campus two months ago. Initially, Ice...

Ice Factory, a sno-cone stand, opened on the perimeter of campus two months ago. Initially, Ice Factory selected a pricing objective (strategy) that focused on maximizing volume and revenue as well as encouraging a greater volume of purchases. After two months of selling sno-cones to faculty, staff, and students, business is booming. Ice Factory has decided it is time to evaluate different pricing tactics that will generate additional sales from current customers and also sales from new customers.

In one or more fully formed paragraphs, identify the pricing objective (strategy) used when Ice Factory first opened, then list five pricing tactics Ice Factory can use to generate additional sales, and finally explain in detail how Ice Factory can implement three of those tactics to arrive at a final price for customers.

In: Economics

A grocery store manager did a study to look at the relationship between the amount of...

A grocery store manager did a study to look at the relationship between the amount of time (in minutes) customers spend in the store and the amount of money (in dollars) they spend. The results of the survey are shown below. Time 14 12 27 14 12 11 11 30 22 Money 65 24 79 61 48 32 55 114 77

Time 14 12 27 14 12 11 11 30 22
Money 65 24 79 61 48 32 55 114 77

y=6.95+3.22x

Interpret the y-intercept in the context of the question:

  • The average amount of money spent is predicted to be $6.95.
  • If a customer spends no time at the store, then that customer will spend $6.95.
  • The y-intercept has no practical meaning for this study. <<<<<<<Correct Answer>>>>>
  • The best prediction for a customer who doesn't spend any time at the store is that the customer will spend $6.95.

I know the answer but do not understand the process, please explain

In: Statistics and Probability

As a small business owner, your financial strategy may be limited by the lack of revenue...

As a small business owner, your financial strategy may be limited by the lack of revenue during periods of your business. These fiscal challenges may be overcome by understanding and utilization the company’s financial information effectively. Develop a post that discusses each of the financial statements and explain in your own words how they will contribute to the success of your business.

In: Accounting

A magazine published data on the best small firms in a certain year. These were firms...

A magazine published data on the best small firms in a certain year. These were firms that had been publicly traded for at least a year, have a stock price of at least $5 per share, and have reported annual revenue between $5 million and $1 billion. The table below shows the ages of the corporate CEOs for a random sample of these firms. 47 58 52 62 56 59 74 63 53 50 59 60 60 57 46 55 63 57 47 55 57 43 61 62 49 67 67 55 55 49 Use this sample data to construct a 90% confidence interval for the mean age of CEO's for these top small firms. Use the Student's t-distribution. (Round your answers to two decimal places.)

In: Statistics and Probability

A magazine published data on the best small firms in a certain year. These were firms...

A magazine published data on the best small firms in a certain year. These were firms that had been publicly traded for at least a year, have a stock price of at least $5 per share, and have reported annual revenue between $5 million and $1 billion. The table below shows the ages of the corporate CEOs for a random sample of these firms. 49 57 51 60 57 59 74 63 53 50 59 60 60 57 46 55 63 57 47 55 57 43 61 62 49 67 67 55 55 49 Use this sample data to construct a 90% confidence interval for the mean age of CEO's for these top small firms. Use the Student's t-distribution. (Round your answers to two decimal places.) ,

In: Statistics and Probability

An employee of a small software company in Minneapolis bikes to work during the summer months....

An employee of a small software company in Minneapolis bikes to work during the summer months. He can travel to work using one of three routes and wonders whether the average commute times (in minutes) differ between the three routes. He obtains the following data after traveling each route for one week.

Route 1 34 35 29 36 29

Route 2 21 28 25 30 24

Route 3 22 27 25 30 26

a-1. Construct an ANOVA table.

a-2. At the 1% significance level, do the average commute times differ significantly between the three routes. Assume that commute times are normally distributed.

b. Use Tukey’s HSD method at the 1% significance level to determine which routes' average times differ.

In: Statistics and Probability

Beer drinkers order an average of 50 pitchers of beer per hour at Nick's Pub in...

Beer drinkers order an average of 50 pitchers of beer per hour at Nick's Pub in

Bloomington, Indiana. Answer the following questions:

• What is the probability that at least 100 pitchers are ordered in a three-hour period?

• What is the chance that the time between ordered pitchers will be 45 seconds or less?

B.An average of 100 customers arrive each hour at the Central Forest Coffee Shop. What

is the probability that at least 170 customers arrive in a two-hour period?

In: Math

The accompanying table shows the results of a survey in which 250 male and 250 female...

The accompanying table shows the results of a survey in which 250 male and 250 female workers ages 25 to 64 were asked if they contribute to a retirement savings plan at work. Complete parts​ (a) and​ (b) below.

Contribute   Do not contribute total

Male

116

134   

250

Female 160 90. 250

total 276 274 500

​(a) Find the probability that a randomly selected worker contributes to a retirement savings plan at​ work, given that the worker is male.

The probability that a randomly selected worker contributes to a retirement savings plan at​ work, given that the worker is​ male, is

nothing.

​(Round to three decimal places as​ needed.)

​(b) Find the probability that a randomly selected worker is​ female, given that the worker contributes to a retirement savings plan at work.

The probability that a randomly selected worker is​ female, given that the worker contributes to a retirement savings plan at​ work, is nothing.​(Round to three decimal places as​ needed.)

In: Statistics and Probability

BLC Ltd. has revenue of £500 million and sells all of its goods on credit to...

BLC Ltd. has revenue of £500 million and sells all of its goods on credit to a variety of different wholesale customers. At the moment the company offers a standard credit period of 30 days. However, 70% of its customers (by revenue) take an average of 70 days to pay, while the other 30% of customers (by revenue) pay within 30 days. The company is considering offering a 2% discount for payment within 30 days and estimates that 80% of customers (by revenue) will take up this offer (including those that already pay within 30 days). The Managing Director has asked the credit controller if the cost of this new policy would be worth offering. The company has a £80 million overdraft facility that it regularly uses to the full limit due to the lateness of payment and the cost of this overdraft facility is 15% per annum. The credit controller also estimates that bad debt level of 2% of revenue would be halved to 1% of revenue as a result of this new policy. Required Calculate the approximate equivalent annual percentage cost of a discount of 2%, which reduces the time taken by credit customers to pay from 70 days to 30 days. Calculate the value of trade receivables under the existing scheme and the proposed scheme at the year-end. Evaluate the benefits and costs of the scheme and explain with reasons whether the company should go ahead and offer the discount. You should also consider other factors in this decision. (Hint: You need to work out the cost of the discount compared to the interest on the overdraft saved and bad debt reduction.)

In: Accounting