he weights of apples are normally distributed with a mean weight of 100 grams and standard deviation of 15 grams. If an apple is selected at random, what is the probability that its weight is:
PLEASE USE THE "NORMDIST" FUNCTION IN EXCEL
a) more than 111 grams;
b) between 97 and 107 grams;
c) at most 99 grams;
d) less than 98 or more than 105 grams;
e) exactly 97.8 grams;
f) exactly 87.8 or 106.9 grams;
g) not 112 grams;
h) at least 117 grams.
In: Math
A population of values has a normal distribution with μ=99.5 and σ=83.2. You intend to draw a random sample of size n=197. Please answer the following questions, and show your answers to 1 decimal place.
Find P77, which is the value (X) separating the bottom 77% values from the top 23% values. P77 (for population) =
Find P77, which is the sample mean (¯x) separating the bottom 77% sample means from the top 23% sample means. P77 (for sample means) =
In: Math
A fair coin is tossed 25 times. What is the probability that at least 1 tail occurs?
a) 1
b) 0.00000075
c) 0.99999923
d) 0.00000003
e) 0.99999997
f) None of the above.
A business organization needs to make up a 5 member fund-raising committee. The organization has 9 accounting majors and 7 finance majors. What is the probability that at most 2 accounting majors are on the committee?
a) 0.0151
b) 0.0048
c) 0.3654
d) 0.0103
e) 0.3606
f) None of the above.
A classroom of children has 17 boys and 19 girls in which five students are chosen at random to do presentations. What is the probability that more boys than girls are chosen?
a) 0.4448
b) 0.0164
c) 0.3249
d) 0.1199
e) 0.4284
f) None of the above.
A toy manufacturer inspects boxes of toys before shipment. Each box contains 9 toys. The inspection procedure consists of randomly selecting three toys from the box. If one or more of the toys are defective, the box is not shipped. Suppose that a given box has two defective toys. What is the probability that it will be shipped?
a) 0.4365
b) 0.0833
c) 0.0714
d) 0.5833
e) 0.4167
f) None of the above.
In: Math
Compute the probability distribution, expectation, and variance of the following random variable:
- Multipliying the result of rolling two dice.
In: Math
Title: At the 99% confidence level, what is the proportion of teenagers who play tennis?
____ 3.- Out of a sample of 120 teenagers, 14 of them responded YES to the question “Do you play tennis?” To answer the question in the title:
We would calculate a confidence interval centered at p_hat with a margin of error of 2.576*sqrt(0.12*(1-0.12)/120).
We would calculate a confidence interval centered at p with a margin of error of 2.576*sqrt(0.12*(1-0.12)/120).
We would calculate a significance test with z=sqrt(0.12*(1-0.12)/120).
We would calculate a significance test with Ho: p_hat=0.12.
Both c and d.
In: Math
Eric wants to estimate the percentage of elementary school children who have a social media account. He surveys 450 elementary school children and finds that 280 have a social media account.
Identify the values needed to calculate a confidence interval at the 99% confidence level. Then find the confidence interval.
z0.10 | z0.05 | z0.025 | z0.01 | z0.005 |
1.282 | 1.645 | 1.960 | 2.326 | 2.576 |
Use the table of common z-scores above.
In: Math
Hours | CuFt | #LargeFurniture | Elevator |
24.00 | 545 | 3 | Yes |
13.50 | 400 | 2 | Yes |
26.25 | 562 | 2 | No |
25.00 | 540 | 2 | No |
9.00 | 220 | 1 | Yes |
20.00 | 344 | 3 | Yes |
22.00 | 569 | 2 | Yes |
11.25 | 340 | 1 | Yes |
50.00 | 900 | 6 | Yes |
12.00 | 285 | 1 | Yes |
38.75 | 865 | 4 | Yes |
40.00 | 831 | 4 | Yes |
19.50 | 344 | 3 | Yes |
18.00 | 360 | 2 | Yes |
28.00 | 750 | 3 | Yes |
27.00 | 650 | 2 | Yes |
21.00 | 415 | 2 | No |
15.00 | 275 | 2 | Yes |
25.00 | 557 | 2 | Yes |
45.00 | 1028 | 5 | Yes |
29.00 | 793 | 4 | Yes |
21.00 | 523 | 3 | Yes |
22.00 | 564 | 3 | Yes |
16.50 | 312 | 2 | Yes |
37.00 | 757 | 3 | No |
32.00 | 600 | 3 | No |
34.00 | 796 | 3 | Yes |
25.00 | 577 | 3 | Yes |
31.00 | 500 | 4 | Yes |
24.00 | 695 | 3 | Yes |
40.00 | 1054 | 4 | Yes |
27.00 | 486 | 3 | Yes |
18.00 | 442 | 2 | Yes |
62.50 | 1249 | 5 | No |
53.75 | 995 | 6 | Yes |
79.50 | 1397 | 7 | No |
In: Math
The lengths of pregnancies in a small rural village are normally
distributed with a mean of 264 days and a standard deviation of 14
days.
In what range would you expect to find the middle 50% of most
pregnancies?
Between and .
If you were to draw samples of size 60 from this population, in
what range would you expect to find the middle 50% of most averages
for the lengths of pregnancies in the sample?
Between and .
Enter your answers as numbers. Your answers should be accurate to 1
decimal places.
In: Math
3. What is resource leveling and what might be the benefits to the project of being able to resource level?
4. List and describe the key elements of an e effective group?
In: Math
A psychology professor assigns letter grades on a test according to the following scheme. A: Top 10% of scores B: Scores below the top 10% and above the bottom 65% C: Scores below the top 35% and above the bottom 25% D: Scores below the top 75% and above the bottom 9% F: Bottom 9% of scores Scores on the test are normally distributed with a mean of 66.9 and a standard deviation of 9. Find the numerical limits for a D grade. Round your answers to the nearest whole number, if necessary.
In: Math
Researchers at the Mayo Clinic have studied the effect of sound levels on patient healing and have found a significant association (louder hospital ambient sound level is associated with slower postsurgical healing). Based on the Mayo Clinic's experience, Ardmore Hospital installed a new vinyl flooring that is supposed to reduce the mean sound level (decibels) in the hospital corridors. The sound level is measured at five randomly selected times in the main corridor. |
New Flooring | Old Flooring |
39 | 47 |
44 | 50 |
40 | 51 |
40 | 53 |
45 | 48 |
(a-1) |
Does the evidence convince you that the mean sound level has been reduced? Select the appropriate hypotheses. |
a. | H0: μ1 – μ2 ≥ 0 vs. H1: μ1 – μ2 < 0 |
b. | H0: μ1 – μ2 = 0 vs. H1: μ1 – μ2 ≠ 0 |
c. | H0: μ1 – μ2 ≤ 0 vs. H1: μ1 – μ2 > 0 |
|
(a-2) | At α = 0.05, what is the decision rule? Assume equal variances. |
a. | Reject the null hypothesis if tcalc > –1.86 (8 d.f.) |
b. | Reject the null hypothesis if tcalc < –1.86 (8 d.f.) |
|
(a-3) |
Calculate the test statistic. (Round your answer to 4 decimal places. Input the answer as a positive value.) |
Test statistic |
(a-4) | At α = .05, is the mean sound level reduced? |
(Click to select) Reject / Do not reject H0, the mean (Click to select) has been / has not been reduced.? |
(b-1) |
At α = .05, has the variance changed? Choose the correct hypothesis. |
a. | H0: σ12 / σ22 = 1vs. H1: σ12 / σ22 ≠ 1. |
b. | H0: σ12 / σ22 ≠ 1vs. H1: σ12 / σ22 = 1. |
|
(b-2) | At α = .05, what is the decision rule? |
a. | Reject H0 if Fcalc < 9.60 or Fcalc > .1042. (d.f.1 = 4, d.f.2 = 4.) |
b. | Reject H0 if Fcalc > 9.60 or Fcalc < .1042. (d.f.1 = 4, d.f.2 = 4.) |
|
(b-3) |
What is the test statistic? (Round the test statistic value to 4 decimal places.) |
Test statistic |
(b-4) | At α = .05, has the variance changed? |
(Click to select) Reject / Do not reject H0, the variance (Click to select) has / has not been changed.? |
In: Math
The following table provides two risky assets for you to construct the investment opportunity sets based on the given correlation information.
Constructing investment opportunity sets
Complete the table of Risks and Returns of all the possible combinations.
For each correlation situation, insert a “Mean-Standard Deviation” chart and plotting the investment opportunity sets with varying weights on the two risky assets, then connecting the dots to show the curvature of each investment set.
Given a risk-free of 3%, draw a capital allocation line (CAL) to connect the risk-free rate and the “optimal portfolio” point on each curvature chart.
Please complete on excel and show work
Assets |
Expected return |
Risk (STD) |
A |
10% |
25% |
B |
6% |
12% |
Risk-free |
3% |
0% |
Correlation | Coeffiecient | between | asset A | and B | ||
-1 | -0.5 | 0 | 0.5 | 1 | ||
Weight in Asset A | Return of the portfolio (Rp) | STD(P) | STD (P) | STD (P) | STD (P) | STD (P) |
0% | ||||||
10% | ||||||
20% | ||||||
30% | ||||||
40% | ||||||
50% | ||||||
60% | ||||||
70% | ||||||
80% | ||||||
90% | ||||||
100% |
In: Math
An educational researcher wishes to know if there is a difference in academic performance for college freshmen that live on campus and those that commute. Data was collected from 267 students. Can we conclude that freshman housing location and academic performance are related? Location Average Below Average Above Average Total On campus 89 29 27 145 Off campus 36 43 43 122 Total 125 72 70 267 Copy Data Step 2 of 8 : Find the expected value for the number of students that live on campus and have academic performance that is average. Round your answer to one decimal place.
In: Math
A synthetic fiber manufacturer suspect that tensile strength is related to cotton percentage in the fiber. An experiment was conducted with five levels of cotton percentage and with five replicates in random order. The following tensile strength data was obtained. Does cotton percentage affect the tensile strength? | |||||||||||||
% Cotton | Tensile Strength | ||||||||||||
15 | 8 | 9 | 15 | 11 | 10 | ||||||||
20 | 12 | 17 | 12 | 18 | 18 | ||||||||
25 | 14 | 15 | 18 | 19 | 19 | ||||||||
30 | 19 | 25 | 20 | 19 | 23 | ||||||||
35 | 7 | 10 | 11 | 12 | 11 |
Project Questions
ANOVA
1. What type of experimental design is employed in this problem?
2. Identify the treatments and the dependent variable (Response).
3. Use a multiple boxplot in order to compare responses between different levels.
a. Are there differences between the mean of the responses in at least two of the levels?
b. Do you think this is the result of within-group variation or between-group variation?
4. State clearly the hypothesis that we are testing in this problem.
a. Set up the null and alternative.
5. Run ANOVA on the data and generate the output with plots.
a. Comment on the degree of freedom values for each source of variation. How do you calculate them?
b. Do we reject the hypothesis that we are testing? Why or why not?
i. If you reject, can you tell which level(s) is probably the one(s) that has the different mean? (Hint: use the boxplots from part 1a)
ii. If you are suspicious of only one level, repeat the ANOVA without that level and see if you fail to reject the null in the test.
b. Use the histogram of residuals to comment on the normality of error term (residuals) in this ANOVA model.
In: Math
We roll two fair dice (a black die and a white die). Let
x = the number on the black die − the number on the white
die,record x as the outcome of this random experiment.
(a) What is the probability space?
In: Math