1- Most real estate offers are conditional on the buyer obtaining the necessary financing to complete the purchase. Based on past experience, one ofCanada's largest real estate agencies believes that 4% of the sales fail because the buyer is unable to obtain the financing approval from their mortgage broker or lender. The real estate agency has recently submitted 60 different offers, all of which are conditional on financing.
What is the sampling distribution model of the proportion of clients in this group who may not receive the necessary funding to purchase the house? Round to one decimal.
A. Mean = 4.0%; standard deviation = 0.3%
B. Mean = 4.0%; standard deviation = 2.5%
C. Mean = 96.0%; standard deviation = 2.5%
D. Mean = 96.0%; standard deviation = 0.3%
2- The director of admission of a large university is interested in determining the proportion of students who would like to live on campus in the coming academic year. Rather than examine the records for all students, the director randomly selects 150 students and finds that 108 of them would like to live on campus. Using a 90% confidence interval, what is the estimated true proportion of students who would like to live on campus in the coming academic year?
A.0.72 ± 0.04457
B.0.72 ± 0.060301
C.0.72 ± 0.089582
D.0.72 ± 0.028135
In: Statistics and Probability
At a student café, there are equal numbers of two types of customers with the following values. The café owner cannot distinguish between the two types of students because many students without early classes arrive early anyway (i.e., she cannot price-discriminate).
|
Students with Early Classes |
Students without Early Classes |
|
|---|---|---|
| Coffee | 70 | 60 |
| Banana | 51 | 101 |
The marginal cost of coffee is 10 and the marginal cost of a banana is 40.
The café owner is considering three pricing strategies:
| 1. | Mixed bundling: Price bundle of coffee and a banana for 161, or just a coffee for 70. |
| 2. | Price separately: Offer coffee at 60, price a banana at 101. |
| 3. | Bundle only: Coffee and a banana for 121. Do not offer goods separately. |
Assume that if the price of an item or bundle is no more than exactly equal to a student's willingness to pay, then the student will purchase the item or bundle.
For simplicity, assume there is just one student with an early class, and one student without an early class.
|
Price Strategy |
Revenue from Pricing Strategy |
Cost from Pricing Strategy |
Profit from Pricing Strategy |
|---|---|---|---|
| 1. Mixed Bundling | |||
| 2. Price Separately | |||
| 3. Bundle Only |
Pricing strategy ? yields the highest profit for the café owner.
In: Economics
Label the following 2-sample tests as: Proportions, Independent, and Dependent (matched-pairs). Determine the null and alternative hypothesis and whether the test is one-tailed or two-tailed. Then explain in detail the reasons behind your answers. You do not have to work the problems out.
1. The pre-test scores for 6 students were: 5, 5, 6, 7, 7, 8. The post-test scores for the same 6 students were: 7, 6, 7, 7, 9, 9. Is there a statistically significant difference between the two scores if we assume that the post-test scores were higher at the .01 level?
2. One group of 8 students took a pre-test, while another group of 7 students took a post-test. The following are the results: Pre-test: 5,6,4,3,4,6,6,7. Post-test: 6,6,8,7,9,8,8. Is there a difference between pre and post-test scores at the .01 level?
3. Two surveys were conducted asking participants whether they thought the morality of Americans was decaying or not. The percent of those who thought there was a decay in morality was 56% in survey 1, while the percent of those who thought there was a decay in morality was 59.5% in survey 2. Test the claim survey 2's percent was larger at the .05 level.
In: Statistics and Probability
In a survey of 3025 adults aged 57 through 85 years, it was found that 85.2% of them used at least one prescription medication. Complete parts (a) through (c) below.
a. How many of the 3025 subjects used at least one prescription medication?
(Round to the nearest integer as needed.)
b. Construct a 90% confidence interval estimate of the percentage of adults aged 57 through 85 years who use at least one prescription medication.
= %<p< %
(Round to one decimal place as needed.)
c. What do the results tell us about the proportion of college students who use at least one prescription medication?
A. The results tell us that there is a 90% probability that the true proportion of college students who use at least one prescription medication is in the interval found in part (b).
B. The results tell us nothing about the proportion of college students who use at least one prescription medication.
C. The results tell us that, with 90% confidence, the probability that a college student uses at least one prescription medication is in the interval found in part (b).
D. The results tell us that, with 90% confidence, the true proportion of college students who use at least one prescription medication is in the interval found in part (b).
In: Statistics and Probability
An SAT prep course claims to improve the test score of students. The table below shows the scores for seven students the first two times they took the verbal SAT. Before taking the SAT for the second time, each student took a course to try to improve his or her verbal SAT scores. Do these results support the claim that the SAT prep course improves the students' verbal SAT scores?
Let d=(verbal SAT scores prior to taking the prep course)−(verbal SAT scores after taking the prep course)d=(verbal SAT scores prior to taking the prep course)−(verbal SAT scores after taking the prep course). Use a significance level of α=0.01α=0.01 for the test. Assume that the verbal SAT scores are normally distributed for the population of students both before and after taking the SAT prep course.
| Student | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
|---|---|---|---|---|---|---|---|
| Score on first SAT | 370 | 380 | 450 | 500 | 360 | 400 | 360 |
| Score on second SAT | 420 | 480 | 500 | 580 | 400 | 460 | 400
Step 2 of 5 : Find the value of the standard deviation of the paired differences. Round your answer to one decimal place. |
In: Statistics and Probability
Full-time college students report spending a mean of 25 hours per week on academic activities, both inside and outside the classroom. Assume the standard deviation of time spent on academic activities is 4 hours. Complete parts (a) through (d) below. a. If you select a random sample of 16 full-time college students, what is the probability that the mean time spent on academic activities is at least 24 hours per week? nothing (Round to four decimal places as needed.) b. If you select a random sample of 16 full-time college students, there is an 80% chance that the sample mean is less than how many hours per week? nothing (Round to two decimal places as needed.) c. What assumption must you make in order to solve (a) and (b)? A. The population is symmetrically distributed, such that the Central Limit Theorem will likely hold for samples of size 16. B. The sample is symmetrically distributed, such that the Central Limit Theorem will likely hold. C. The population is normally distributed. D. The population is uniformly distributed. d. If you select a random sample of 100 full-time college students, there is an 80% chance that the sample mean is less than how many hours per week? nothing (Round to two decimal places as needed.
In: Statistics and Probability
The Tvet college is interested in the relationship between
anxiety level and the need to succeed in school. A random sample of
400 students took a test that measured anxiety level and need to
succeed in school. Need to succeed in school vs Anxiety level Need
to succeed High Med–High Medium Med–Low Low in school Anxiety
Anxiety Anxiety Anxiety Anxiety High Need 35 42 53 15 10 Medium
Need 18 48 63 33 31 Low Need 4 5 11 15 17 Which one of the
following statements is incorrect?
1. The column total for a high anxiety level is 57:
2. The row total for high need to succeed in school is 155:
3. The expected number of students who have a high anxiety level
and a high need to succeed in school is about 51:
4. The expected number of students who have a low need to succeed
in school and a med–low level of anxiety is 8:19:
5. The expected number of students who have a medium need to
succeed in school and a medium anxiety is 61:28:
the critical value of 2 at 10% significance level equals.
1. 17:535
2. 13:362
3. 20:090
4. 2:733
5. 15:98
In: Statistics and Probability
Required information
[The following information applies to the questions
displayed below.]
|
A recent national survey found that high school students watched an average (mean) of 6.7 DVDs per month with a population standard deviation of 0.80 hour. The distribution of DVDs watched per month follows the normal distribution. A random sample of 40 college students revealed that the mean number of DVDs watched last month was 6.20. At the 0.05 significance level, can we conclude that college students watch fewer DVDs a month than high school students? |
| a. | State the null hypothesis and the alternate hypothesis. |
Multiple Choice
H0: μ ≤ 6.7 ; H1: μ > 6.7
H0: μ = 6.7 ; H1: μ ≠ 6.7
H0: μ > 6.7 ; H1: μ = 6.7
H0: μ ≥ 6.7 ; H1: μ < 6.7
| b. | State the decision rule. |
Multiple Choice
Reject H0 if z < -1.645
Reject H1 if z > -1.645
Reject H0 if z > -1.645
Reject H1 if z < -1.645
| c. |
Compute the value of the test statistic. (Negative amount should be indicated by a minus sign. Round your answer to 2 decimal places.) |
| Value of the test statistic |
| d. | What is your decision regarding H0? |
Multiple Choice
Reject H0
Cannot reject H0
In: Statistics and Probability
TABLE 4-8 (According to the record of the registrar's office at a state university, 35% of the students are freshman, 25% are sophomore, 16% are junior, and the rest are senior. Among the freshmen, sophomores, juniors, and seniors, the portion of students who live in the dormitory are, respectively, 80%, 60%, 30%, and 20%. ) 40. Referring to Table 4-8, what is the probability that a randomly selected student is a freshman who lives in a dormitory?
41. Referring to Table 4-8, what is the probability that a randomly selected student is a sophomore who does not live in a dormitory?
42. 130) Referring to Table 4-8, what is the probability that a randomly selected student is a junior who does not live in a dormitory?
43. Referring to Table 4-8, what is the probability that a randomly selected student is a junior or senior who lives in a dormitory?
44. Referring to Table 4-8, what percentage of the students live in a dormitory? 45. Referring to Table 4-8, what percentage of the students do not live in a dormitory?
46. Referring to Table 4-8, if a randomly selected student lives in the dormitory, what is the probability that the student is a freshman?
47. Referring to Table 4-8, if a randomly selected student does not live in the dormitory, what is the probability that the student is a junior or a senior?
In: Math
Oct 1 Tom invested cash in the business, $40,000 2 Prepaid 6 months rent in advance, $4,800 3 Purchased Stage Equipment for $3,000. Paid $1,500 immediately but put the rest on account. 5 Purchased supplies for cash, $1,500 7 Purchased a one year insurance policy for $1,200 31 Paid the part-time worker, $450 Nov 2 Tom withdrew $180 so he could relax at the health spa 3 Tuition revenue for the month was, $3,500. Received $1,000 immediately from students the rest is due in 20 days. 8 Paid the telephone bill, $95 11 Paid the electric bill, $320 21 Received payment for tuition from students billed on November 3 23 Received the newspaper advertising bill, $160, it is due in 30 days. 27 Paid the part-time worker, $450 Dec 3 Tuition revenue for the month was, $5,500. Received $2,500 immediately from students, the rest is due in 20 days. 21 Paid the advertising bill which was received last month, $160 22 Received payment for tuition from students billed on December 3 24 Paid an additional $500 on the stage equipment purchased earlier in the year. 29 Purchased additional supplies on account, $300
In: Accounting