1. Don't use handwriting,please.
2. Don't copy and paste use your own words.
3. I need Reference link . (important)
Q1:What is the difference between a population and a sample in
statistics? (in details)
Q2. How to interpret confidence intervals and confidence
levels?(in details)
Q3. Why the p-value is important?(in details)
In: Math
In: Math
An engineer has designed a valve that will regulate water pressure on an automobile engine. The valve was tested on 280 engines and the mean pressure was 5.2 pounds/square inch (psi). Assume the population standard deviation is 0.8. If the valve was designed to produce a mean pressure of 5.3 psi, is there sufficient evidence at the 0.01 level that the valve performs below the specifications? Step 2 of 6 : Find the value of the test statistic. Round your answer to two decimal places.
In: Math
For a population with µ = 80 and σ = 20 what is the z-score corresponding to X=95?
In: Math
Experiment 4
Dr. Brown wanted to observe the effects of music genre on surgical recovery time. Dr. Brown set up an experiment in which participants were randomly assigned to listen to one of three different genres of music (rap, metal, or country). Participants were patients who had just received liposuction; they listened to their assigned music genre for 2 hours each day until discharged from the hospital. Dr. Brown recorded the number of days the patients remained in the hospital. His results are shown below.
Using the data shown below, conduct the appropriate statistical test in SPSS to determine whether there is a statistically significant difference between any of the pairs of musical genres.
Rap |
Metal |
Country |
4 |
1 |
2 |
4 |
1 |
2 |
3 |
2 |
3 |
3 |
1 |
2 |
Three-way between-subjects factorial design
Three-way within-subjects factorial design
One-way between-subjects factorial design
One-way within-subjects factorial design
Independent samples
Dependent samples
Matched samples
Based on the results of a one-way ANOVA, music genre does have an effect on number of days to recover from surgery,_________.
In: Math
In: Math
The average final exam score for the statistics course is 78%. A professor wants to see if the average final exam score for students who are given colored pens on the first day of class is different. The final exam scores for the 11 randomly selected students who were given the colored pens are shown below. Assume that the distribution of the population is normal. 81, 61, 81, 91, 84, 56, 64, 74, 79, 63, 82 What can be concluded at the the α α = 0.10 level of significance level of significance? For this study, we should use The null and alternative hypotheses would be: H 0 : H 0 : H 1 : H 1 : The test statistic = (please show your answer to 3 decimal places.) The p-value = (Please show your answer to 4 decimal places.) The p-value is α α Based on this, we should the null hypothesis. Thus, the final conclusion is that ... The data suggest that the population mean final exam score for students who are given colored pens at the beginning of class is not significantly different from 78 at α α = 0.10, so there is statistically insignificant evidence to conclude that the population mean final exam score for students who are given colored pens at the beginning of class is different from 78. The data suggest the population mean is not significantly different from 78 at α α = 0.10, so there is statistically insignificant evidence to conclude that the population mean final exam score for students who are given colored pens at the beginning of class is equal to 78. The data suggest the populaton mean is significantly different from 78 at α α = 0.10, so there is statistically significant evidence to conclude that the population mean final exam score for students who are given colored pens at the beginning of class is different from 78.
In: Math
According to a daily newspaper, the probability is about 0.74 that the favorite in a horse race will finish in the money (first, second, or third place). Complete parts (a) through (j) below.
a. In the next five races, what is the probability that the favorite finishes in the money exactly twice? The probability that the favorite finishes in the money exactly twice is 0.096.
b. In the next five races, what is the probability that the favorite finishes in the money exactly four times? The probability that the favorite finishes in the money exactly four times is 0.390.
c. In the next five races, what is the probability that the favorite finishes in the money at least four times? The probability that the favorite finishes in the money at least four times is 0.611.
d. In the next five races, what is the probability that the favorite finishes in the money between two and four times, inclusive?
The probability that the favorite finishes in the money between two and four times, inclusive, is ____.
(Round to three decimal places as needed.)
In: Math
A department store supervisor is concerned about customer
service. To check if this is an issue, the supervisor randomly
selected a sample of clerks from stores at three different
locations (A, B, C). Then the supervisor records the number of
returns associated with each clerk for a month. What can the
supervisor conclude with an α of 0.05?
A | B | C |
8 10 7 9 |
11 12 14 10 |
8 10 7 10 |
Conduct Tukey's Post Hoc Test for the following
comparisons:
1 vs. 3: difference =
f) Conduct Scheffe's Post Hoc Test for the
following comparisons:
1 vs. 2: test statistic =
1 vs. 3: test statistic =
In: Math
1. What is the 95% CI for the difference between the mean starting salaries of those who stay at least three years and those who leave before 3 years? Can you say that you are 95% sure there is a difference?
Case Study: Employee Retention at D&Y | ||||||
Employee | Starting Salary | On Road Pct | State Univ | CIS Degree | Stayed 3 Years | Tenure |
1 | 38900 | 57% | Yes | Yes | No | 11 |
2 | 42300 | 68% | Yes | Yes | No | 5 |
3 | 39800 | 75% | No | Yes | No | 21 |
4 | 35700 | 29% | No | Yes | Yes | |
5 | 40400 | 71% | No | Yes | No | 19 |
6 | 36400 | 62% | No | Yes | No | 18 |
7 | 37300 | 41% | Yes | No | Yes | |
8 | 36600 | 37% | No | Yes | No | 17 |
9 | 34600 | 65% | No | Yes | No | 20 |
10 | 42300 | 53% | Yes | Yes | No | 16 |
11 | 37800 | 73% | No | Yes | Yes | |
12 | 39700 | 60% | No | Yes | No | 12 |
13 | 36100 | 56% | Yes | Yes | Yes | |
14 | 36100 | 42% | Yes | Yes | Yes | |
15 | 33800 | 35% | No | Yes | Yes | |
16 | 38900 | 36% | No | Yes | Yes | |
17 | 35500 | 50% | No | Yes | No | 15 |
18 | 37600 | 58% | No | Yes | Yes | |
19 | 38100 | 78% | Yes | Yes | Yes | |
20 | 38300 | 16% | No | No | Yes | |
21 | 34600 | 29% | No | Yes | Yes | |
22 | 36300 | 26% | No | Yes | Yes | |
23 | 37200 | 59% | Yes | Yes | No | 14 |
24 | 37700 | 55% | Yes | Yes | Yes | |
25 | 36600 | 45% | No | Yes | No | 13 |
26 | 41000 | 81% | Yes | Yes | No | 9 |
27 | 40800 | 111% | Yes | Yes | No | 7 |
28 | 36700 | 56% | Yes | Yes | Yes | |
29 | 37700 | 56% | No | Yes | No | 22 |
30 | 37700 | 42% | No | Yes | No | 11 |
31 | 39300 | 69% | Yes | Yes | No | 16 |
32 | 37500 | 50% | No | Yes | No | 18 |
33 | 40000 | 69% | Yes | Yes | No | 9 |
34 | 41500 | 64% | Yes | No | No | 5 |
35 | 39600 | 72% | No | Yes | No | 18 |
36 | 36900 | 42% | No | Yes | Yes | |
37 | 39500 | 62% | No | Yes | No | 5 |
38 | 37800 | 20% | No | Yes | No | 23 |
39 | 38600 | 57% | No | Yes | No | 8 |
40 | 40600 | 70% | Yes | Yes | Yes | |
41 | 41600 | 63% | Yes | Yes | Yes | |
42 | 40800 | 44% | No | No | Yes | |
43 | 36200 | 68% | No | Yes | No | 31 |
44 | 39600 | 59% | No | Yes | No | 10 |
45 | 36100 | 56% | Yes | Yes | Yes | |
46 | 36100 | 42% | No | Yes | Yes | |
47 | 39500 | 53% | Yes | Yes | No | 17 |
48 | 39100 | 38% | No | Yes | Yes | |
49 | 40300 | 53% | Yes | Yes | Yes | |
50 | 38800 | 78% | Yes | Yes | Yes | |
51 | 39400 | 34% | Yes | Yes | No | 27 |
52 | 38400 | 23% | No | Yes | Yes | |
53 | 35200 | 33% | No | Yes | Yes | |
54 | 36100 | 24% | No | No | Yes | |
55 | 37100 | 44% | No | Yes | Yes | |
56 | 37200 | 64% | Yes | Yes | No | 23 |
57 | 36800 | 46% | Yes | No | Yes | |
58 | 36500 | 27% | No | No | Yes | |
59 | 35900 | 29% | No | No | Yes | |
60 | 37900 | 76% | Yes | Yes | No | 14 |
61 | 37900 | 58% | No | Yes | No | 26 |
62 | 37900 | 28% | No | Yes | No | 14 |
63 | 36700 | 37% | No | Yes | Yes | |
64 | 37400 | 49% | No | Yes | No | 19 |
65 | 38200 | 62% | Yes | Yes | Yes | |
66 | 36600 | 51% | Yes | Yes | No | 7 |
In: Math
group | hours |
1.00 | 44.00 |
1.00 | 40.00 |
1.00 | 44.00 |
1.00 | 39.00 |
1.00 | 25.00 |
1.00 | 37.00 |
1.00 | 31.00 |
1.00 | 40.00 |
1.00 | 22.00 |
1.00 | 34.00 |
1.00 | 39.00 |
1.00 | 20.00 |
1.00 | 39.00 |
1.00 | 42.00 |
1.00 | 41.00 |
2.00 | 36.00 |
2.00 | 40.00 |
2.00 | 37.00 |
2.00 | 35.00 |
2.00 | 39.00 |
2.00 | 40.00 |
2.00 | 36.00 |
2.00 | 38.00 |
2.00 | 24.00 |
2.00 | 27.00 |
2.00 | 29.00 |
2.00 | 24.00 |
2.00 | 45.00 |
2.00 | 44.00 |
2.00 | 44.00 |
3.00 | 52.00 |
3.00 | 50.00 |
3.00 | 51.00 |
3.00 | 52.00 |
3.00 | 45.00 |
3.00 | 49.00 |
3.00 | 47.00 |
3.00 | 46.00 |
3.00 | 47.00 |
3.00 | 47.00 |
3.00 | 46.00 |
3.00 | 45.00 |
3.00 | 50.00 |
3.00 | 47.00 |
3.00 | 49.00 |
The senior class at a charter school specializing in the physical sciences surveyed students in three specialization tracks; physics, chemistry and math.
Using the data provided above.
1. You perform a post hoc test (Bonferroni) and find that you do not have sufficient evidence to say that there is a statistical difference (alpha = 0.05) between the means of these two groups
a. Physics vs Math Students
b. Math vs Chemistry students
c. Chemistry vs Physics
d. None of the above
2. 2. The Value of the ANOVA statistic (F) is:
In: Math
A.)
A medical researcher is studying the effects of a drug on blood pressure. Subjects in the study have their blood pressure taken at the beginning of the study. After being on the medication for 4 weeks, their blood pressure is taken again. The change in blood pressure is recorded and used in doing the hypothesis test.
Change: Final Blood Pressure - Initial Blood Pressure
The researcher wants to know if there is evidence that the drug increases blood pressure. At the end of 4 weeks, 36 subjects in the study had an average change in blood pressure of 2.4 with a standard deviation of 4.5.
Find the p-value for the hypothesis test. ___________
Your answer should be rounded to 4 decimal places.
B.)
Find the p-value for the hypothesis test. A random sample of size 54 is taken. The sample has a mean of 426 and a standard deviation of 82.
H0: µ = 400
Ha: µ ≠ 400
The p-value for the hypothesis test is . ________________
Your answer should be rounded to 4 decimal places.
C.)
Child Health and Development Studies (CHDS) has been collecting data about expectant mothers in Oakland, CA since 1959. One of the measurements taken by CHDS is the weight increase (in pounds) for expectant mothers in the second trimester.
In a fictitious study, suppose that CHDS finds the average weight increase in the second trimester is 14 pounds. Suppose also that, in 2015, a random sample of 43 expectant mothers have mean weight increase of 16.2 pounds in the second trimester, with a standard deviation of 5.7 pounds.
A hypothesis test is done to see if there is evidence that weight increase in the second trimester is greater than 14 pounds.
Find the p-value for the hypothesis test. _____________________
The p-value should be rounded to 4 decimal places.
I need to know how to do these with excel but regular way works too if its too much.
In: Math
group | hours |
1.00 | 44.00 |
1.00 | 40.00 |
1.00 | 44.00 |
1.00 | 39.00 |
1.00 | 25.00 |
1.00 | 37.00 |
1.00 | 31.00 |
1.00 | 40.00 |
1.00 | 22.00 |
1.00 | 34.00 |
1.00 | 39.00 |
1.00 | 20.00 |
1.00 | 39.00 |
1.00 | 42.00 |
1.00 | 41.00 |
2.00 | 36.00 |
2.00 | 40.00 |
2.00 | 37.00 |
2.00 | 35.00 |
2.00 | 39.00 |
2.00 | 40.00 |
2.00 | 36.00 |
2.00 | 38.00 |
2.00 | 24.00 |
2.00 | 27.00 |
2.00 | 29.00 |
2.00 | 24.00 |
2.00 | 45.00 |
2.00 | 44.00 |
2.00 | 44.00 |
3.00 | 52.00 |
3.00 | 50.00 |
3.00 | 51.00 |
3.00 | 52.00 |
3.00 | 45.00 |
3.00 | 49.00 |
3.00 | 47.00 |
3.00 | 46.00 |
3.00 | 47.00 |
3.00 | 47.00 |
3.00 | 46.00 |
3.00 | 45.00 |
3.00 | 50.00 |
3.00 | 47.00 |
3.00 | 49.00 |
The senior class at a charter school specializing in the physical sciences surveyed students in three specialization tracks; physics, chemistry and math.
Using the data provided above. Provide the answers to the following questions starting with:
The null hypothesis for this study is u physics = u chemistry = u math
1. The alternate hypothesis is:
a. u physics =/= u math =/= u chemistry
b. All of the means are different
c. At least 2 of the means are different
d. At least two of the means are the same
2. The Value of the ANOVA statistic (F) is:
3. The probability that we would get this large a value for ANOVA is (p value):
4. Based on this result we would draw which conclusion
a. Reject the null hypothesis and accept the alternative hypothesis that at least two of the population means are different
b. Reject the null hypothesis and accept the alternative hypothesis that at least two of the sample means are different
c. Reject the null hypothesis and accept the alternative hypothesis that all of the population means are different
d. Fail to Reject the null hypothesis
In: Math
Use the sample data and confidence level given below to complete parts (a) through (d). A research institute poll asked respondents if they felt vulnerable to identity theft. In the poll, n equals 1082n=1082 and x equals 502x=502 who said "yes." Use a 99 %99% confidence level
In: Math
What are the assumptions of regression? How does a correlation compare to regression model with only one predictor? (8 points)
In: Math