A computer is programmed to produce at random a single digit from the list 0, 1, 2, 3, 4, 5, 6, 7, 8 and 9. The program is run 8 times. Let Y be the number zeros that occur.i)
If Yfollows the Binomial Distributions, state two assumptions for this.
i)Calculate the values of theparameters.
ii)Calculate P(Y<4)
In: Statistics and Probability
I want to see if there is a relation between makeup sales and the age of people buying them on any given day at Sephora. 10 people were randomly sampled.
X-axis: 13, 14, 16, 17, 21, 25, 30, 37, 50, 62 (age)
Y-axis: 2, 7, 30, 26, 15, 33, 7, 3, 14, 1 (Makeup sales)
What is the impact of using a linear regression model in this case? What options, other than linear regression, can you see? You do not need to collect any data.
For your response to a classmate (two responses required, one in each option), examine your classmate’s problem to assess the appropriateness and accuracy of using a linear regression model. Discuss the meaning of the standard error of the estimate and how it affects the predicted values of Y for that analysis.
In: Statistics and Probability
Let X be the number of goal chances that result in goals for a football team over n goals chances. During many matches, the team gets goals of 20% of the chances.
a) Explain why it might be reasonable (at least as an approach) to assume that X is binomially distributed in this situation. Do this by going through each of the points that must be met in order for us to use binomial distribution, assess whether it is reasonable that they are met here, and specify any additional assumptions we need to make. solved
Not solved:
What is the probability that the team gets two goals in a match
with n = 12 goal chances?
What is the probability that they will get more than 50 targets in
a season if they get n = 300 target chances?
Before a new season acquires two new spikes in hopes of increasing
the likelihood of scoring on the target chances. During the first
116 goals they received 29 goals.
b) Determine with a hypothesis test whether the probability of
scoring on the target chances has increased. Use 5% level. Also
calculate the p-value of the test.
What would have been the conclusion of the test if we had used a
10% level?
In: Statistics and Probability
A) 1 Formulate two postulates of the Einstein’s special theory of relativity.
2 According to the special theory of relativity, if you are in a train that moves at nearly the speed of light what would you see if you look into a mirror? Explain your answer.
b 1 What is the rest energy of a 130 g apple?
The rest energy, E0 =
2 The Sun loses about 4 million tonnes of mass each second due to nuclear fusion. How much energy per second (power) does it generate? 1 tonn = 1000 kg.
The Sun's power, P =
A spacecraft is observed to be 50 meters long when at rest on Earth. It passes you and appears to be 10 meters long. With what velocity does the spacecraft travel? First find the gamma factor.
The gamma factor, γ =
The speed of the spacecraft, v =
In: Physics
Purpose:To begin investigating the FAT16 file system on a USB memory device. In particular, you will add a file to a FAT16 formatted device and observe the changes made to the FAT table.
Deliverables: For Steps 7, 8, 11, and 12 you are to describe, in detail, what happens to the FAT when a file is added. Be specific and explain WHAT happened and WHY. It is acceptable to add small screen shots to you DOC file, but only as an aid in describing your observations.
Activities:
In: Computer Science
A study of the effect of television commercials on 12-year-old children measured their attention span, in seconds. The commercials were for clothes, food, and toys.
| Clothes | Food | Toys |
| 20 | 33 | 55 |
| 24 | 43 | 53 |
| 35 | 34 | 40 |
| 35 | 50 | 44 |
| 28 | 47 | 63 |
| 31 | 42 | 53 |
| 17 | 34 | 48 |
| 31 | 43 | 58 |
| 20 | 57 | 47 |
| 47 | 51 | |
| 44 | 51 | |
| 54 |
1.) Complete the ANOVA table. Use 0.05 significance level. (Round the SS and MS values to 1 decimal place and F value to 2 decimal places.)
|
|
3.) Is there a difference in the mean attention span of the children for the various commercials?
The hypothesis of identical means can definitely REJECTED/ NOT REJECTED be.There is A DİFFERENCE /NO DİFFERENCE in the mean attention span.
In: Statistics and Probability
8. The Kansas Department of Social Services is facing a complaint that minority social workers are given different (namely lower) starting salaries than white/Caucasian workers. As a local social worker support organization, you conduct a survey of 19 caseworkers asking their monthly caseload for May 2016 shown below with 10 minority and 9 white/Caucasian workers. Data in thousands of dollars.
minority 50, 40, 52, 40, 45, 40, 35, 55, 45, 40
white/Caucasian workers 25, 30, 30, 40, 50, 25, 40, 35, 41
a) Provide null and alternative hypotheses in formal terms and layperson's terms for the test (5)
b) Do and show the math and reject/accept at a=.05 (10)
d) Explain the results in layperson's terms (10)
e) Calculate and then explain a 95% confidence interval in layperson's terms if appropriate. If not, you must explain why not. (10)
In: Statistics and Probability
Mouse weights. Find the mean and median for the data in the following table.
|
Interval |
41.5minus−43.5 |
43.5minus−45.5 |
45.5minus−47.5 |
47.5minus−49.5 |
49.5minus−51.5 |
51.5minus−53.5 |
53.5minus−55.5 |
55.5minus−57.5 |
57.5minus−59.5 |
|---|---|---|---|---|---|---|---|---|---|
|
Frequency |
44 |
55 |
1414 |
1515 |
2020 |
1515 |
1717 |
77 |
22 |
meanequals=50.5850.58
(Round to two decimal places if needed.)
medianequals=??
(Round to two decimal places if needed.)
In: Statistics and Probability
Exercise 7-29 Departmental Cost Allocation [LO 7-3]
Robinson Products Company has two service departments (S1 and S2) and two production departments (P1 and P2). The distribution of each service department’s efforts (in percentages) to the other departments is:
| From |
To |
||||||||||
| S1 | S2 | P1 | P2 | ||||||||
| S1 | — | 20 | % | 30 | % | ? | % | ||||
| S2 | 20 | % | — | ? | 40 | ||||||
The direct operating costs of the departments (including both variable and fixed costs) are:
| S1 | $ | 170,000 |
| S2 | 64,000 | |
| P1 | 51,000 | |
| P2 | 125,000 | |
Required:
1. Determine the total cost of P1 and P2 using the direct method.
2. Determine the total cost of P1 and P2 using the step method.
3. Determine the total cost of P1 and P2 using the reciprocal method.
In: Accounting
Air traffic controllers perform the vital function of regulating the traffic of passenger planes. Frequently, air traffic controllers work long hours with little sleep. Researchers wanted to test their ability to make basic decisions as they become increasingly sleep deprived. To test their abilities, a sample of 6 air traffic controllers is selected and given a decision-making skills test following 12-hour, 24-hour, and 48-hour sleep deprivation. Higher scores indicate better decision-making skills. The table lists the hypothetical results of this study.
| Sleep Deprivation | ||
|---|---|---|
| 12 Hours | 24 Hours | 48 Hours |
| 24 | 18 | 17 |
| 19 | 23 | 21 |
| 35 | 23 | 23 |
| 28 | 21 | 14 |
| 23 | 15 | 17 |
| 22 | 22 | 15 |
(a) Complete the F-table. (Round your answers to two decimal places.)
|
Source of Variation |
SS | df | MS | Fobt |
|---|---|---|---|---|
|
Between groups |
||||
|
Between persons |
||||
|
Within groups (error) |
||||
| Total |
2.) Seasonal affective disorder (SAD) is a type of depression during seasons with less daylight (e.g., winter months). One therapy for SAD is phototherapy, which is increased exposure to light used to improve mood. A researcher tests this therapy by exposing a sample of SAD patients to different intensities of light (low, medium, high) in a light box, either in the morning or at night (these are the times thought to be most effective for light therapy). All participants rated their mood following this therapy on a scale from 1 (poor mood) to 9 (improved mood). The hypothetical results are given in the following table.
| Light Intensity | ||||
|---|---|---|---|---|
| Low | Medium | High | ||
| Time
of Day |
Morning | 5 | 5 | 7 |
| 6 | 6 | 8 | ||
| 4 | 4 | 6 | ||
| 7 | 7 | 9 | ||
| 5 | 9 | 4 | ||
| 6 | 8 | 8 | ||
| Night | 4 | 6 | 9 | |
| 8 | 8 | 7 | ||
| 6 | 7 | 6 | ||
| 7 | 5 | 8 | ||
| 4 | 9 | 7 | ||
| 3 | 8 | 6 | ||
(a) Complete the F-table and make a decision to retain or reject the null hypothesis for each hypothesis test. (Round your answers to two decimal places. Assume experimentwise alpha equal to 0.05.)
|
Source of Variation |
SS | df | MS | F |
|---|---|---|---|---|
| Time of day | ||||
| Intensity | ||||
| Time
of day × Intensity |
||||
| Error | ||||
| Total |
Compute Tukey's HSD to analyze the significant main effect.
The critical value is for each pairwise comparison.
Summarize the results for this test using APA format.
In: Math