Are sexually active teenagers any better informed about AIDS and other potential health problems related to sex than teenagers who are sexually inactive? A 15-item test of general knowledge about sex and health was administered to random samples of teens who are sexually inactive, teens who are sexually active but with only a single partner, and teens who are sexually active with more than one partner. Is there any significant difference in the test scores?

Inactive:10,12,8,10,8,5

active one partner: 11,11,6,5,15,10

active more than one partner 12,12,10,4,3,15

can you please explain all the steps and not do it in excel.

After game 1 of the World Series (of baseball, a best-of-seven series), the announcers announced that over the previous 20 years, it had happened 12 times that the team that won the first game went on to win the series. They seemed to be suggesting that winning a series 60% of the time was surprisingly high. Is it? In other words, assuming that the two teams are equally likely to win a game and that the games are independent events, what is the probability that the team that won the first game wins the series?

Why is the EWMA chart robust to non-normality whereas the Individuals-Moving Range chart is not?

Consider the following dependent random samples
Observations           1        2        3       4        5        6
x-values                  8.8    7.9     8.0     8.4    8.2    8.0
y-values    7.7    7.3 8.0     8.9    7.5      7.8

a) Determine the difference between each set of points, x_i - y_i

b) Do hypothesis testing to see if µ_d < 0 at the α = .025.

An advertising firm wanting to target people with strong desires for success conducted a study to see if such people differed in the types of television shows they watched. Randomly selected participants recorded the shows they watched for a week, then their desire for success was assessed, and finally, they were divided into two groups. Low Success seekers watched 8 comedies, 15 romances, 6 documentaries, 13 dramas, and 3 news shows. High Success seekers watched 3 comedies, 3 romances, 9 documentaries, 7 dramas, and 8 news shows.

Question- conduct a Chi-Squared for independence test using the SPSS program and paste the output information and state the results.

1. A researcher wants to know if being monolingual, bilingual, or multilingual is related to which country a person is from. To assess this, a large group of people were surveyed. The results of that survey are reported below. Are the traits related?

1. What kind of statistical test will you be performing?
2. Will you need to test for equal variance? If so, what are your results and how does that influence the next steps in your analysis?
3. What are your null and alternative hypotheses?
4. Discuss the results of your analysis. Will you accept or reject your null hypothesis? Why? What can you specifically say about the data?

The accompanying data on degree of spirituality for a sample of natural scientists and a sample of social scientists working at research universities appeared in a paper. Assume that it is reasonable to regard these two samples as representative of natural and social scientists at research universities. Is there evidence that the spirituality category proportions are not the same for natural and social scientists? Test the relevant hypotheses using a significance level of 0.01.

State the null and alternative hypotheses.

H₀: The spirituality category proportions are not all the same for natural scientists and social scientists.
H_a: The spirituality category proportions are the same for natural scientists and social scientists. H₀: The spirituality category proportions are the same for natural scientists and social scientists.
H_a: The spirituality category proportions are not all the same for natural scientists and social scientists.      H₀: The spirituality category for natural scientists and social scientists are independent.
H_a: The spirituality category for natural scientists and social scientists are not independent. H₀: The spirituality category for natural scientists and social scientists are not independent.
H_a: The spirituality category for natural scientists and social scientists are independent.

Calculate the test statistic. (Round your answer to two decimal places.)
χ² =

What is the P-value for the test? (Round your answer to four decimal places.)
P-value =

What can you conclude?

Do not reject H₀. There is not enough evidence to conclude that the spirituality category proportions are not all the same for natural scientists and social scientists. Reject H₀. There is convincing evidence to conclude that there is an association between natural scientists and social scientists.     Do not reject H₀. There is not enough evidence to conclude that there is an association between natural scientists and social scientists. Reject H₀. There is convincing evidence to conclude that the spirituality category proportions are not all the same for natural scientists and social scientists.

You may need to use the appropriate table in Appendix A to answer this question.

A screening program for neuroblastoma (a type of cancer) was undertaken in Germany among children born between November 1, 1993, and June 30, 2000, who were between 9 and 18 months of age between May 1995 and April 2000. A total of 1,475,773 children participated in the screening program. Of whom 204 were diagnosed between 12 and 60 months of age. The researchers expected the incidence rate of neuroblastoma to be 7.3 per 100,000 children during this period in the absence of screening. We wish to test if the number of cases detected by the screening program is significantly greater than expected.

a) Write hypotheses to test this claim. Explain why you should use a one sided alternative.

b) You may assume any necessary conditions have been met. Perform your test.

c) Do you think that the number of cases detected by the screening program is significantly greater than expected? Explain.

d) Give a 95% confidence interval for the incidence rate of neuroblastoma in the screened population.

e) Express your confidence interval from part d) as (p1, p2), where p1 and p2 are in the units of number of cases per 100,000 children.

specifically need help with question e

How would you ensure that your sample is not biased?

What are the effects of a large sample size to the distribution of the bell curve?

Is smoking during pregnancy associated with premature births? To investigate this question, researchers selected a random sample of 148 pregnant women who were smokers. The average pregnancy length for this sample of smokers was 262 days. From a large body of research, it is known that length of human pregnancy has a standard deviation of 16 days. The researchers assume that smoking does not affect the variability in pregnancy length.

Find the 95% confidence interval to estimate the length of pregnancy for women who smoke.

(Note: The critical z-value to use, zc, is: 1.960)

( , )

Your answer should be rounded to 3 decimal places.

Imagine that you are a physician and you have just received the results back for a patient of yours who has just tested positive for the “heartbreak of psoriasis”. The test used will correctly label a person who is suffering from the “heartbreak of psoriasis” as a sufferer 90% of the time and will correctly label a person who is not suffering from the “heartbreak of psoriasis” as not being a sufferer 60% of the time. If the base-rate of suffering from the “heartbreak of psoriasis” is 5%, explain to your patient how likely she is actually suffering from the “heartbreak of psoriasis” on the basis of this positive result.

I got 7.32% using Bayes Theorem. Is this right?

What are​ companies' biggest obstacles to attracting the best​ talent? Of 1,000 surveyed U.S. and Canadian talent acquisition​ professionals, 510 reported that competition for talent is the biggest obstacle at their company. At the 0.01 level of​ significance, is there evidence that the proportion of all talent acquisition professionals who report competition is the biggest obstacle to attracting the best talent at their company is different from 47​%?

1. Calculate the test statistic ZSTAT.
2. Identify the​ p-value from your technology​ output, rounding to three decimal places.
3. Conclusion: Is there significant evidence to conclude that there is strong evidence in support of the claim that the proportion of all talent acquisition professionals who report competition is the biggest obstacle to attracting the best talent at their company is different from 61​%. ​

As part of a study of wheat maturation, an agronomist selected a sample of wheat plants at random from a field plot. For each plant, the agronomist measured the moisture content from two locations: one from the central portion and one from the top portion of the wheat head. The agronomist hypothesizes that the central portion of the wheat head has more moisture than the top portion. What can the agronomist conclude with α = 0.01? The moisture content data are below.

a) What is the appropriate test statistic?
---Select--- na z-test One-Sample t-test Independent-Samples t-test Related-Samples t-test

b)
Condition 1:
---Select--- wheat maturation top portion moisture content wheat head central portion
Condition 2:
---Select--- wheat maturation top portion moisture content wheat head central portion

c) Compute the appropriate test statistic(s) to make a decision about H₀.
(Hint: Make sure to write down the null and alternative hypotheses to help solve the problem.)
critical value =  ; test statistic =
Decision:  ---Select--- Reject H0 Fail to reject H0

d) If appropriate, compute the CI. If not appropriate, input "na" for both spaces below.
[  ,  ]

e) Compute the corresponding effect size(s) and indicate magnitude(s).
If not appropriate, input and/or select "na" below.
d =  ;   ---Select--- na trivial effect small effect medium effect large effect
r² =  ;   ---Select--- na trivial effect small effect medium effect large effect

f) Make an interpretation based on the results.

The central portion of the wheat head had significantly more moisture than the top portion.The central portion of the wheat head had significantly less moisture than the top portion.    There was no significant moisture difference between the central and top portion of the wheat head.

A manager of a large office responsible for sustainability conducted a survey amongst her staff to find out how they travelled to work, and how punctual they were. The survey results were, for those surveyed: 25% of the staff took a bus to work, 40% took a car to work and the remainder cycled or walked (the sustainable option). If a staff member took a bus they were late 20% of the time, if a staff member took a car they were late 15% of the time and the remainder (those who cycled or walked) were never late.

(a) Complete the tree diagram below by writing the relevant probabilities on each branch and at the ends of the branches.

(b) Use the tree diagram to answer the following. Write down the calculations needed to find the answers:

(i) What is the probability that a randomly chosen staff member was late to work?

(ii) Given that a staff member was late, what is the probability they came to work by bus?

Estimating Mean SAT Math Score

The SAT is the most widely used college admission exam. (Most community colleges do not require students to take this exam.) The mean SAT math score varies by state and by year, so the value of µ depends on the state and the year. But let’s assume that the shape and spread of the distribution of individual SAT math scores in each state is the same each year. More specifically, assume that individual SAT math scores consistently have a normal distribution with a standard deviation of 100. An educational researcher wants to estimate the mean SAT math score (μ) for his state this year. The researcher chooses a random sample of 616 exams in his state. The sample mean for the test is 481.

Find the 99% confidence interval to estimate the mean SAT math score in this state for this year.

(Note: The critical z-value to use, zc, is: 2.576.)

( , )

Your answer should be rounded to 3 decimal places.