A 95% confidence interval for p is computed to be (1.65, 3.35). For each of the following hypotheses, state whether H, will be rejected at 0.05 level. Part: 0/ 4 Part 1 of 4 H: p=2 versus H, : p 2 Since the 95% confidence interval (Choose one) vPo then H, (Choose one) ▼ be contains rejected at the 0.05 level. does not contain

Assume that last year in a particular state there were 211 children out of 1990 who were diagnosed with Autism Spectrum Disorder. Nationally, 1 out of 88 children are diagnosed with ASD. It is believed that the incident of ASD is more common in that state than nationally.  Calculate a 96% confidence interval for the percentage of children in that state diagnosed with ASD.P: Parameter    What is the correct parameter symbol for this problem?                  What is the wording of the parameter in the context of this problem?             A: Assumptions Since     information was collected from each object, what conditions do we need to check?  Check all that apply.     n≥30n≥30 or normal population. N≥20nN≥20n n(pˆ)≥10n(p̂)≥10 σσ is known. σσ is unknown. n(1−pˆ)≥10n(1-p̂)≥10     Check those assumptions:    1. nˆpnp^=  which is           2. n(1−ˆp)n(1-p^)=  which is           3. NN=  which is                   If no N is given in the problem, use 1000000N: Name the procedure     The…

Sal knows that parties of people on average spend 75 minutes at their restaurant. They wonder if this average is significantly different on the weekends. They found the average time spent by the 30 parties which dined there this weekend was 82 minutes with a SD of 17 minutes. Assume an alpha of .05. The lower end of the 95% confidence interval is and the higher end of the 95% confidence interval is.

Based upon the results of the sample in #1, can you say with 95% confidence that your confidence interval contains the true percentage of all adult females registered to vote?

One company recently conducted a survey in which 420 women and 420 men were asked "Are you satisfied with the work of the Minister of Health?". Of these, 155 men and 118 women said they were satisfied with the minister's work. Assume that the experimental design was correct. Questions 1 and 2 cover this survey. 1. Find the upper limit of 95% confidence interval for the difference in the proportion of men and women who are happy with the work of the Minister (let men be group 1). 1. 0.03. 2. 0.09. 3. 0.15. 4. It is not possible to apply a normal approach and therefore we can not calculate the confidence interval. 2. What is the rejection area if it is to be examined whether the proportion of men and women who are satisfied with the job of Prime Minister is different (use a = 0.05)? 1. RejectHO efz 1.96. 2. Reject HO if z> 1.64. 3. RejectHO efz> -1.96 or <1.96. 4. Insufficient information provided to answer this.

A researcher wants to estimate the true proportion of Americans who suffer side-effects after taking a particular medication. A 99% confidence interval for the true proportion of Americans who suffer side-effects after taking the particular medication was found to be (0.024, 0.160). If a hypothesis test is conducted with the hypotheses, H,: p = 0.10 vs H: p# 0.10 , what would be the most likely conclusion? Select one: a. There is very strong evidence that p 0.10. Ob. There is little to no evidence that p = 0.10. c. There is little to no evidence that p # 0.10. d. Cannot tell.

find a 95% confidence interval for the true proportion of grapes that are used for raisins if a sample of 340 bins of grapes 25.1% are used for raisins. We are 95% confident the true proportion of grapes used for raisins is between ____ and ———

Based on a random sample of 100 students at Community College in 95% confidence interval for U the mean age of all students at Community College is 21.2 years to 26.6 years ( 21.2<u<26.6). On the basis of this information decide whether you agree or disagree with each of the following statements explain how you decide. A. According to the confidence interval the mean age of all students at Community College cannot possibly be 23.1 years.   B. The 99% confidence interval based on the sample taken above will give a smaller margin of error in the estimate of u.   C. If the sample sizes decrease 240 the 95% confidence interval has a larger margin of error than the one obtained above

Determine whether the following statements are True or False: In a confidence interval (CI) for a population mean, the margin of error (MOE) is half the width of the CI. If we constructed 1000 independent 90% CI’s for a population mean µ, thenwe’d expect about 900 of them to contain µ If we increase the sample size of SRS’s, then the width of the CI’s corresponding to the SRS’s decreases, i.e., the CI’s become narrower

A 95% confidence Interval for u is computed to be (1.80. 3.30). For each of the following hypotheses, state whether H, will be rejected at 0.05 level.