Questions
A publisher reports that 74 of their readers own a laptop. A marketing executive wants to...

A publisher reports that 74 of their readers own a laptop. A marketing executive wants to test the claim that the percentage is actually different from the reported percentage. A random sample of 300 found that 70% of the readers owned a laptop. Is there sufficient evidence at the 0.05 level to support the executive's claim?

A. there is sufficient evidence to support the claim that the percentage of readers who own a laptop is different from 74%.

B.there is not enough sufficient evidence to support the claim that the percentage of readers who own a laptop is different from 74%.

In: Statistics and Probability

USING EXCEL Elly's Hotdog Emporium is famous for its chilidogs. Elly's latest sales indicate that 30%...

USING EXCEL

Elly's Hotdog Emporium is famous for its chilidogs. Elly's latest sales indicate that 30% of the customers order their chilidogs with hot peppers.

Suppose 15 customers are selected at random. What is the probability that between 2 and 6 inclusive will ask for hot pe

In: Statistics and Probability

Is there a significant difference in Highway MPG between cars weighing greater than 1.5 tons and...

Is there a significant difference in Highway MPG between cars weighing greater than 1.5 tons and cars weighing less than 1.5 tons? Using inferential statistics, determine whether we accept or reject the null hypothesis by showing: hypothesis, critical value, formulas, test statistics, decision/conclusions. Here is the dataset:

HighwayMPG (for cars less than 1.5 tons) Highway MPG (for cars greater than 1.5tons)
25 20
34 20
31 21
46 21
36 22
33 22
29 23
50 23
30 23
43 23
37 24
32 24
25 24
33 24
37 25
26 25
41 25
30 25
33 25
31 26
31 26
34 26
36 26
29 26
33 26
30 26
28 26
31 26
26 27
31 27
38 27
37 28
30 28
33 28
29 28
34 28
33 28
27 28
30 28
27 28
29 29
36 29
33 30
27 30
31 30
30
31

In: Statistics and Probability

Three-level Revenue Forecast Three eye-ear-nose-and-throat physicians decide to hire an experienced audiologist in order to add...

Three-level Revenue Forecast

Three eye-ear-nose-and-throat physicians decide to hire an experienced audiologist in order to add a new service line to their practice. They ask the practice manager to prepare a three level colume forecast as a first step in their decision making.

Assumptions: for the base level (most likely) revenue forecast, assume $200 per procedure time 4 procedures per day times 5 days equals 20 procedures per week times 50 weeks per year equals 1,000 potential procedures per year

For the best case revenue forecast, assume an increase in volume of one procedure per day average, for an annual increase of 250 procedures (5 days per week times 50 weeks equals 250). The best case is if the practice gains a particular care contract.

For the worst case revenue forecast, assume a decrease in volume of 2 procedures per day average, for an annual decrease of 500 proocedures. The worst case is if the practice loses a major payer.

Create the required table in an Excel document and submit the assignment via the link provided below.

The idea of this assignment is that since we cannot tell the future we often make assumptions of what is likely to happen. When we make assumptions, we tend to have a realistic idea of what could happen, a sense of a 'worse case' scenario, and a sense of a 'best case' scenario. Looking at these three options helps us anticipate future need and plan accordingly.

To complete this assignment, you must calculate the revenue forecasts at each level (and show your work), but you do notneed to create the line chart shown in Figure 17-5 (p. 209). In other words, just show your calculations -- do not worryabout creating a chart/graph.

Assignment Exercise 17-2 already provides you with the facts that you need. You are given the 'base level' forecast (which would be the same as the 'basic forecast' line in Fig. 17-5). From that you can use addition and subtraction to calculate the 'high forecast' (or 'best case') and 'low forecast' (or 'worst case') revenue amounts.  

You might find it helpful to use this format:

Best: best volume per year x rate per procedure = best revenue per year

Base: base volume per year x rate per procedure = base revenue per year

Worse: worse volume per year x rate per procedure = worse revenue per year

In: Accounting

3. Assume that the time elapsed between customers entering a retail shop is exponentially decreasing by...

3. Assume that the time elapsed between customers entering a retail shop is exponentially decreasing by 15%. How long will the average customer continue to come before the shop runs out of business.

4. .The weight of the fabled Cobrafish is normally distributed with a mean of 45 kg. and a standard deviation of 6 kg. Approximately what percentage of Cobrafish (rounded to two decimal places) weigh between 30 kg. and 49 kg? Note: You must find the corresponding z-scores by hand, showing your work

5. A radar unit is used to measure speeds of cars on a motorway. The speeds are normally distributed with a mean of 90 km/hr and a standard deviation of 10 km/hr. What is the probability that a car picked at random is travelling less than 105 km/hr. Write your answer as a percentage.

In: Statistics and Probability

When we say that “sales people are the critical link between the firm and its customers,”...

When we say that “sales people are the critical link between the firm and its customers,” what does that mean?

In: Operations Management

A regional bank manager wants to know the difference between the mean amounts of time customers...

A regional bank manager wants to know the difference between the mean amounts of time customers wait in line at the drive-up window for three banks in his region. He randomly sampled seven wait times from each location. The data are given in the tables below.

Bank 1 Bank 2 Bank 3
1 1.81 3.34 2.32
2 1.43 1.77 1.23
3 1.92 2.80 1.89
4 2.45 1.72 2.31
5 1.99 1.84 3.00
6 1.80 2.38 1.93
7 1.32 1.96 2.45
Groups Count Sum Average Variance Std Dev
Bank 1 7 12.72 1.817143 0.139724 0.373796
Bank 2 7 15.81 2.258571 0.378414 0.615154
Bank 3 7 15.13 2.161429 0.304748 0.552040
Source of Variation SS df MS F
Between Groups SSTr dfTr MSTr 1.373095
Within Groups SSE 18 MSE
Total 5.690581 20

(a)

What is the sum of squares treatment? (Round your answer to five decimal places.)

(b)

What is the sum of squares error? (Round your answer to five decimal places.)

(c)

What is the mean squares treatment and the mean squares error? (Round your answers to four decimal places.)

MSTr=MSE=

In: Statistics and Probability

A market researcher randomly selected 1000 customers to study the relationship between gender and the book...

A market researcher randomly selected 1000 customers to study the relationship between gender and the book category they preferred most (Romance, Non-Fiction, Adventure, Fantasy) in which customers prefer to read. The results are summarized in the following contingency table:

Romance

Non-Fiction

Adventure

Fantasy

Total

Male

80

170

150

110

510

Female

100

130

130

130

490

Total

180

300

280

240

1000


Suppose the researcher would like to test whether gender is related to the book category they prefer. If an appropriate hypothesis test is carried out, state the null and alternative hypotheses.

Select one:

a. H0: Gender and preferred book category are dependent.
HA: Gender and preferred book category are independent.

b. H0: The number of males/females who prefer each book category is the same.
HA: The number of males/females who prefer each book category is not the same.

c. H0: The distribution of female customers preferring each book category is not the same as the distribution of male customers preferring each book category.
HA: The distribution of female customer preferring each book category is the same as the distribution of male customers preferring each book category.

d. H0: The number of individuals who prefer each book category is the same.
HA: The number of individuals who prefer each book category is not the same.

e. H0: Gender is independent of the preferred book category.
HA: Gender is not independent of the preferred book category.

In: Statistics and Probability

The average time between arrivals of customers at a fast food restaurant drive through is 4...

The average time between arrivals of customers at a fast food restaurant drive through is 4 minutes. Assuming an exponential distribution, what is the probability that the next customer arrives in less than 3 minutes?

Group of answer choices 39.35% 52.76% 47.24% 60.65% 75.00%

If u can please show excel input

In: Statistics and Probability

Giant Screen TV, Inc., is a Miami-based importer and distributor of 60-inch screen HDTVs for residential...

Giant Screen TV, Inc., is a Miami-based importer and distributor of 60-inch screen HDTVs for residential and commercial customers. Revenue and cost relations are as follows:

TR = $4,500Q - $0.1Q2

TC = $2,000,000 + $1500Q + $0.5Q2

  1. Calculate output, price and profit at the average cost-minimizing activity level.
  2. Calculate output, price and profit at the profit-maximizing activity level.
  3. Calculate the level of output and price that will maximize sales revenue. What is the profit associated with this activity level?
  4. Plot Giant Screen’s demand curve, marginal revenue curve, marginal cost curve, and average cost curve on the same graph (quantity on the horizontal axis). Show your graphical solutions to part A, B, and C on this graph.

In: Economics