Oregonians really, really want a baseball team research group contacted a random sample of 5000 residents of Oregon and asked whether they would like to see the state of Oregon sponsor a professional baseball team(they were able to get all 5000 individuals to participate). The researchers found that 48% sad they would like to see Oregon get a professional baseball team. Which of the following statements is true? 48% is a sample statistic because the sample is so large, 48% is considered a population parameter 48% of the population size

Explain what the statements below mean:A)A Rasmussen Reports national survey of 1000 adult Americans found that 18% dreaded Valentine's Day. The margin of error for the survey was 4.5 percentage points with 95% confidence. B)A Gallup poll of 547 adults Americans employed full or part time asked, "Generally speaking, would you say your commute to work is - very stressful, somewhat stressful, not that stressful at all?" Gallup reported that 24% of American workers said that their commute was "very" or "somewhat" stressful. The margin of error was 4 percentage points with 95% confidence.

A political scientist claims that 38% of first-year college students characterize themselves as being “moderate” or “middle of the road” as far as their political affiliation is concerned.   Believing this claimed value is too high, you survey a random sample of 400 first-year college students and find that 120 characterize themselves as being “moderate” or “middle of the road.”    Based on this information, what will the test statistic be? Choose the answer below that is closest to what you calculate, and try not to do a lot of rounding until you get to the very end of your calculations.   1. -0.3 2. -1.2 3. -2.6 4. -3.3 5. None of the other answer options are correct because the test statistic should be positive, not negative.

Last year, the proportion of tax filers that received a refund was 25%. An accountant believes this upcoming tax year will have a smaller proportion of tax refunds than the proportion from last year. Interested in studying this further, the accountant samples a few of their clients and determines the proportion that receive a refund for this upcoming tax year is 19%.  As the accountant sets up a hypothesis test to determine if their belief about this upcoming tax year is correct, what is the accountant's claim?

The National Longitudinal Study of Adolescent Health interviewed several thousand teens (grades 7 to 12). One question asked was “What do you think are the chances you will be married in the next 10 years?” Here is a two-way table of the responses by gender:   Opinion Female Male Almost no chance 120 94 Some chance but probably not 156 178 A 50-50 chance 427 498 A good chance 750 700 Almost certain 1176 770   How many individuals are described in this table? How many females were among the respondents? The percent of females among the respondents was about %. Your percent from the previous exercise is part of the marginal distribution of opinion about marriage. the conditional distribution of sex among adolescents with a given opinion. the marginal distribution of sex. What percent of females thought that they were almost certain to be married in the next 10 years?% Your percent from the previous exercise is part of the conditional distribution of sex among…

One of the questions in a study of marital satisfaction of dual-career couples was to rate the statement, "I'm pleased with the way we divide the responsibilities for childcare." The ratings went from 1 (strongly agree) to 5 (strongly disagree). The table below contains ten of the paired responses for wives and husbands. Conduct a hypothesis test at the 5% level to see if wife's satisfaction levels are lower than their husband's satisfaction level (meaning that, within the partnership, the husband is happier than the wife). Wife's score 3 2 3 3 4 2 1 1 2 4 Husband's score 2 2 1 3 2 1 1 1 2 4 NOTE: If you are using a Student's t-distribution for the problem, including for paired data, you may assume that the underlying population is normally distributed. (In general, you must first prove that assumption, though.) Part (a) State the null hypothesis. H0: ?d = 0 H0: ?d > 0      H0: ?d < 0 H0: ?d ≠ 0 Part (b) State the alternative hypothesis. Ha: ?d > 0 Ha:…

A De Anza student decided to determine whether the percent of men who participate in sports at De Anza College is higher than the percent of women who participate in sports at De Anza College. Out of 67 women, 12 said they participate in sports. 13 of the 45 men surveyed said they participate in sports. a. ) What are the type I and type II errors? Explain them in the context of this problem.b. ) Describe the sample statistics in words. What is the distribution of the sample statistic? Explain why you used this distribution.Can someone please help me make sense of these questions?

Your statistics instructor claims that 60 percent of the students who take her Elementary Statistics class go through life feeling more enriched. For some reason that she can't quite figure out, most people don't believe her. You decide to check this out on your own. You randomly survey 64 of her past Elementary Statistics students and find that 35 feel more enriched as a result of her class. Now, what do you think? Conduct a hypothesis test at the 5% level. Note: If you are using a Student's t-distribution for the problem, you may assume that the underlying population is normally distributed. (In general, you must first prove that assumption, though.) Part (a) Part (b) Part (c) Part (d) Part (e) Part (f) Part (g) Part (h) Part (i) Construct a 95% confidence interval for the true proportion. Sketch the graph of the situation. Label the point estimate and the lower and upper bounds of the confidence interval. (Round your answers to four decimal places.) 95% C.I. Viewing Saved Work…

Perform a hypothesis proportion test for the number of iPhone users on Verizon and AT&T for the following data. Over a 2 day period, recording the number of phone customers for AT&T and Verizon, there were a total of 47 total Verizon customers. 29 of those 47 opened an apple iPhone. For AT&T, there were a total of 41 customers. 22 of those 41 owned an apple iPhone.

A radio talk show asks listeners to call in and say whom they are going to vote for in the next presidential election. Of the 587 callers, 71% say they favor one of the candidates, while 29% favor the other. Does this convince you that the first candidate is likely to win the election? Why or why not? What is statistical issue is involved here?