Based on their records, a hospital claims that the proportion, p, of full-term babies born in the community that weigh more than 7 pounds is 44%. A pediatrician who works with several hospitals in the community would like to verify the hospital's claim. In a random sample of 185 babies born in the community, 77 weighed over 7 pounds. Is there enough evidence to reject the hospital's claim at the 0.01 level of significance? Perform a two-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.) (a) State the null hypothesis H_0 and the alternative hypothesis H_1. (b) Determine the type of test statistic to use. (c) Find the value of the test statistic. (Round to three or more decimal places.) (d) Find the p-value. (Round to three or more decimal places.) (e) Can we reject the claim that the proportion of full-term babies born in the community that weigh more than 7 pounds is 44%?

A doctor claims that the mean weight of babies delivered at her hospital is 6.1kg. A Statistician takes a sample of 10 babies and obtains the following weights: 1.2, 1.4, 1.1, 2.3, 4.2, 0.7, 1.9, 1.1, 4.2, 8.2. Test the doctor\'s claim at 95% level of significance.

The average weight of 2-year old toddlers is 27 pounds.  Social workers in a state are concerned about the weights of 2-year old toddlers who are in foster care. They think the average weight of these toddlers is less than the healthy weight of 27 pounds. They collect the weights of 52 toddlers (2-years old) and they found that the test statistic for the appropriate hypothesis was t = -2.8. Does this measurements provide enough evidence for the social workers claim at the 5% significance level?

The proportion p of residents in a community who recycle has traditionally been 60%. A policy maker claims that the proportion is less than 60% now that one of the recycling centers has been relocated. If 116 out of a random sample of 220 residents in the community said they recycle, is there enough evidence to support the policy maker's claim at the 0.10 level of significance? Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.) (a) State the null hypothesis H_0 and the alternative hypothesis H_1. (b). Determine the type of test statistic to use: z, t, chi-square, f. (c). Find the value of the test statistic. (Round to three or more decimal places.) (d). Find the critical value. (Round to three or more decimal places.) (e). Is there enough evidence to support the policy maker's claim that the proportion of residents who recycle is less than 60%? Yes No

Babies: According to a recent report, a sample of 240 one-year-old baby boys in the United States had a mean weight of 25.5 pounds. Assume the population standard deviation is =σ5.4 pounds.Part: 0 / 30 of 3 Parts CompletePart 1 of 3(a) Construct a 98% confidence interval for the mean weight of all one-year-old baby boys in the United States. Round the answer to at least one decimal place.A 98% confidence interval for the mean weight in pounds of all one-year-old baby boys in the United States is <<μ.

: A government agency reports that 21% of baby boys 6-8 months old in the United States weigh less than 26 pounds. A sample of 148 babies is studied. Use the TI-84 Plus calculator as needed. Round the answer to at least four decimal places.(a) Approximate the probability that less than 38 babies weigh less than 26 pounds.(b) Approximate the probability that 36 or fewer babies weigh less than 26 pounds.(c) Approximate the probability that the number of babies who weigh less than 26 pounds is between 29 and 39 exclusive.Part: 0 / 30 of 3 Parts CompletePart 1 of 3The probability that less than 38 babies weigh less than 26 pounds is .