Use the following code to access data from the Getting To Know You Survey that was just conducted. The dataset can also be found online at the link: http://users.stat.umn.edu/~wuxxx725/data/ Getting2NoUS2020.csv. NoU<- read.csv("http://users.stat.umn.edu/~wuxxx725/data/Getting2NoUS2020.csv", header = TRUE) attach(NoU) 1. Are US students more likely to favor legalizing marijuana? The following two variables will be used. • international.student International student? Two categories ”U.S.” or ”International” • legalizing.marijuana Favor legalizing marijuana? Two categories ”Yes” or ”No”(although three categories are available, we only care about yes or no group)
(a) Run the command below to construct a contingency table. table(international.student,legalizing.marijuana)
(b) Let p1 and p2 denote the proportion favoring marijuana legalization among international students and US students, respectively. Use prop.test() command to construct a 95% confidence interval for comparing p1 and p2. Can you conclude which of p1 and p2 is larger? Explain.
(c) Test your conclusion in (b) at the .05 level using prop.test() command. You only need to show your code and output.
(d) Interpret the reported p-value.
I specifically need help on how to properly run the prop.test
In: Statistics and Probability
Show all work please.
1. Certain standardized math exams have a mean of 100 and a standard deviation of 60. Of a sample of 36 students who take this exam, what percent could you expect to score between 70 and 110?
A) 84
B) 81.5
C) 83.85
D) 85
2. Certain standardized math exams had a mean of 120 and a standard deviation of 20. Of students who take this exam, what percent could you expect to score between 60 and 80?
A) 2.5
B) 2.35
C) 97.5
D) 13.5
3. A random sample of n measurements was selected from a
population with unknown mean μ and known standard deviation σ.
Using the 68-95-99.7 rule, calculate a 68% confidence interval for
μ for the given situation. Round to the nearest hundredth when
necessary.
n = 100, Xbar = 74, σ = 25
| A) |
74 ± 0.49 |
|
| B) |
74 ± 2.5 |
|
| C) |
74 ± 25 |
|
| D) |
74 ± 2.10 |
4.Certain standardized math exams have a mean of 100 and a standard deviation of 60. Of a sample of 36 students who take this exam, what percent could you expect to score above 90?
A)84
B)81.5
C)83.85
D)16
In: Statistics and Probability
|
Pair |
Intervention |
Control |
Difference |
|
1 |
10 |
26 |
-16 |
|
2 |
22 |
40 |
-18 |
|
3 |
44 |
66 |
-22 |
|
4 |
23 |
55 |
-32 |
|
5 |
8 |
16 |
-8 |
|
6 |
33 |
33 |
0 |
|
7 |
0 |
8 |
-8 |
|
8 |
8 |
6 |
2 |
|
9 |
14 |
18 |
-4 |
|
10 |
34 |
14 |
20 |
|
11 |
2 |
23 |
-21 |
|
12 |
10 |
15 |
-5 |
Using a standard table of Wilcoxon signed-rank critical values, determine whether there is a statistically significant difference in the number of Punnett square errors between students exposed to the intervention versus those in the control group. Use a two-tailed test and an alpha = 0.05. Write your brief conclusion for an educated lay person.
In: Statistics and Probability
Ray, the owner of a small company, asked Holmes, a CPA, to
conduct
an audit of the company’s records. Ray told Holmes that an audit
was to be completed in
time to submit audited financial statements to a bank as part of a
loan application. Holmes
immediately accepted the engagement and agreed to provide an
auditor’s report within
three weeks. Ray agreed to pay Holmes a fixed fee plus a bonus if
the loan was granted.
Holmes hired two accounting students to conduct the audit and spent
several hours
telling them exactly what to do. Holmes told the students not to
spend time reviewing
internal controls but instead to concentrate on proving the
mathematical accuracy of the
ledger accounts and summarizing the data in the accounting records
that supported Ray’s
financial statements. The students followed Holmes’s instructions
and after two weeks
gave Holmes the financial statements, which did not include
footnotes. Holmes reviewed
the statements and prepared an unmodified auditor’s report. The
report did not refer to
generally accepted accounting principles or to the consistent
application of such principles.
Briefly describe each of the principles underlying AICPA auditing
standards and indicate
how the action(s) of Holmes resulted in a failure to comply with
each principle.
Organize your answer as follows:*
1) Brief Description of principle
2)holmes’ actions resulting in Failure to
Comply with the principle
In: Accounting
Research results suggest a relationship between TV viewing habits of 5-year old children and their future performance at high school. Wright and Collins (1998) reported that children who regularly watched Sesame Street as children receives better grades than those had not watched the show as children. Suppose another researcher wants to replicate this study on 20 high school children. The researcher first surveyed the parents of the students to obtain information about their TV viewing habits during the times that the students were 5 years old. Based on the survey results researcher selects a sample of n=10 with a history of watching Sesame Street and n=10 that did not watch the program. The average high school grade is recorded for each student and the data are as follows:
|
Watched Sesame Street |
Didn't Watch Sesame Street |
|
86 |
90 |
|
87 |
89 |
|
91 |
82 |
|
97 |
83 |
|
98 |
85 |
|
99 |
79 |
|
97 |
83 |
|
94 |
86 |
|
89 |
81 |
|
92 |
92 |
How would the researcher test if there were a significant difference between the two groups of students? Use JASP to conduct an independent sample t-test. Write all the steps of hypothesis testing using t-test (as shown in the handout) and attach the document (WORD DOC) here.
In: Statistics and Probability
Alameda Tile sells products to many people remodeling their homes and thinks that it could profitably offer courses on tile installation, which might also increase the demand for its products. The basic installation course has the following (tentative) price and cost characteristics: Tuition $ 800 per student Variable costs (tiles, supplies, and so on) 480 per student Fixed costs (advertising, salaries, and so on) 160,000 per year Required: a. What enrollment will enable Alameda Tile to break even? b. How many students will enable Alameda Tile to make an operating profit of $80,000 for the year? c. Assume that the projected enrollment for the year is 800 students for each of the following (considered independently): 1. What will be the operating profit (for 800 students)? 2. What would be the operating profit if the tuition per student (that is, sales price) decreased by 10 percent? Increased by 20 percent? 3. What would be the operating profit if variable costs per student decreased by 10 percent? Increased by 20 percent? 4. Suppose that fixed costs for the year are 10 percent lower than projected, whereas variable costs per student are 10 percent higher than projected. What would be the operating profit for the year?
In: Accounting
An article in the San Jose Mercury News stated that students in the California state university system take 4 years, on average, to finish their undergraduate degrees. A freshman student believes that the mean time is less and conducts a survey of 68 students. The student obtains a sample mean of 5.7 with a sample standard deviation of 0.6. Is there sufficient evidence to support the student's claim at an α=0.01α=0.01 significance level?
Preliminary:
Test the claim:
In: Statistics and Probability
1.
A group of students estimated the length of one minute without reference to a watch or clock, and the times (seconds) are listed below. Use a
0.05
significance level to test the claim that these times are from a population with a mean equal to 60 seconds. Does it appear that students are reasonably good at estimating one minute?
|
68 |
81 |
37 |
68 |
45 |
25 |
63 |
66 |
69 |
47 |
61 |
72 |
91 |
92 |
64 |
_____________________
Assuming all conditions for conducting a hypothesis test are met, what are the null and alternative hypotheses?
A.
H0:
μ=60
seconds
H1:
μ≠60
seconds
B.
H0:
μ=60
seconds
H1:
μ>60
seconds
C.
H0:
μ=60
seconds
H1:
μ<60
seconds
D.
H0:
μ≠60
seconds
H1:
μ=60
seconds
______________
Determine the test statistic. (Round to two decimal places as needed.)
Determine the P-value. (Round to three decimal places as needed.)
State the final conclusion that addresses the original claim.
" reject " " fail to reject "
H0.
There is sufficient
not sufficient
evidence to conclude that the original claim that the mean of the population of estimates is
60
seconds
▼
"is"
"is not"
correct. It
"does not appear"
"appears"
that, as a group, the students are reasonably good at estimating one minute.
In: Statistics and Probability
1. A study investigated the influence of background noise on classroom performance for children aged 10 to 12. In one part of the study, calming music led to better performance on an arithmetic task compared to a no-music condition. Suppose that a researcher selects one class of n1= 20 students who listen to calming music each day while working on arithmetic problems. A second class of n2= 18 serves as a control group with no music. Accuracy scores are measured for each child and the average for students in the music condition is x1=12 with sum of squares (SS1)=1,205 compared to an average of X2=9 with SS2=1,144 for students in the no-music condition. Please, report the observed value of the test statistic (e.g., observed z, observed t, or observed X2) you will use for hypothesis testing. Round answers to two decimal points in every calculation.
2. Enter the (1) critical value of the statistic (z, t, or X2) you need for alpha = .05 and (2) degrees of freedom for a two-tailed test.
3. Specify if you decision is based on whether to reject or fail to reject the H0
4. State your conclusions based on your results from this study using an APA style sentence with the correct format for presenting the results of an inferential test.
Needs to be done ASAP thanks
In: Statistics and Probability
PLEASE ANSWER ALL QUESTIONS
1. What z value is used with a 98% confidence level?
Select one:
a. 1.65
b. 1.96
c. 1.28
d. 2.33
2. What z value is used with a 75% confidence level?
Select one:
a. 1.15
b. 1.56
c. 1.37
d. 0.90
e. 1.88
f. 2.17
g. 0.99
h. 2.05
3. You are studying the effects of two diets on young adults. You measure the weight of students before and after an eight week diet program. In 50 students participating in diet Alpha, the average weight loss is 4.6 pounds with a standard deviation of 2.2 pounds. In 50 students participating in diet Bravo, the average weight loss is 9.8 pounds with a standard deviation of 3.6 pounds. You construct a 95% confidence interval for the change in weight for diet Alpha and another 95% confidence interval for the change in weight for diet Bravo. Which confidence interval is wider?
Select one:
a. Diet Alpha has a wider 95% confidence interval than Diet Bravo.
b. Diet Bravo has a wider 95% confidence interval than Diet Alpha.
c. Diet Alpha and Diet Bravo have equally wide confidence intervals.
In: Statistics and Probability