TT UONSannAccording to the US Department of Child Welfare, the mean age at which a person has their first child is24.72.5. You believe the actual age is different. A sample of 35 was selected with a mean of 23.9 .Testyour hypothesis with a significance level of a = 0.01.Part A: State the null and alternate hypotheses.

We have given that Sample size n = 35 Sample mean = 23.9 Population mean = 24.72 Level of…

Answered: IS Department of Child Welfare, the ve…

A First Course in Probability (10th Edition)

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Chapter1: Combinatorial Analysis

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Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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New Orleans' Coca Cola bottling center wants to determine whether the mean amount of product in a 12 oz can of Coke is actually 12 ounces. Thus, the null and alternative hypotheses are Ho: mu is equal to 12 ounces Ha: mu is not equal to 12 ouncesYou want to be extra sure that you aren't underfilling (which would open you up to a lawsuit). Being risk averse, you set out to conduct a hypothesis test at a stringent 99% level. Fill rates are distributed Normally. You take a sample of 50 different Coke cans and carefully measure the amount of product. From this sample, you calculate an avg fill of 12.3 ounces, with a standard deviation of 0.75 ounces. What do you conclude about the average amount of Coke product in the cans? Group of answer choices a. There is sufficient evidence to conclude that you are not filling to 12 ounces on average. b. There is NOT sufficient evidence to conclude that you are under- or over-filling on average.
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a.)What is the test statistic for this sample? (Report answer accurate to three decimal places.)test statistic = b.)What is the p-value for this sample? For this calculation, use the degrees of freedom reported from the technology you are using. (Report answer accurate to four decimal places.)p-value =
New Orleans' Coca Cola bottling center wants to determine whether the mean amount of product in a 12 oz can of Coke is actually 12 ounces. Thus, the null and alternative hypotheses are Ho: mu is equal to 12 ounces Ha: mu is not equal to 12 ouncesYou want to be extra sure that you aren't underfilling (which would open you up to a lawsuit). Being risk averse, you set out to conduct a hypothesis test at a stringent 99% level. Fill rates are distributed Normally. You take a sample of 50 different Coke cans and carefully measure the amount of product. From this sample, you calculate an avg fill of 12.3 ounces, with a standard deviation of 0.75 ounces. Do you reject or not-reject the null hypothesis? Group of answer choices Do not reject the null hypothesis. Reject the null hypothesis.
Suppose we wanted to estimate the mean room rate for luxury hotels in the Northeast. Assume that the standard deviation for room rates is $35 and that we want a 95% confidence interval. What is the smallest sample size should we choose if we want a margin of error for our interval of no more than $10? Type your answer here
The mean salary for a new teacher in your town is $51,000. You believe it is lower for new teachers in a neighboring town. State the null and alternative hypotheses.
A distribution of values is normal with a mean of 1459.7 and a standard deviation of 36.9.Find the probability that a randomly selected value is greater than 1465.6.P(X > 1465.6) = *4 decimal places. *Note: all z-scores must be rounded to the nearest hundredth.
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a) Which of the following is the correct test statistic for this test? b) Degrees of freedom for this test? c) P-value for this test?
Explain the difference between statistical significance and practical significance. Choose the correct answer below. O A. Statistical significance means that the sample statistic is not likely to come from the population whose parameter is stated in the null hypothesis. Practical significance refers to whether the difference between the sample statistic and the parameter stated in the null hypothesis is large enough to be considered important in an application. O B. Statistical significance refers to how an unusual event is unlikely to actually appear in a real world application, such as every entry in a sample of size 50 having the same value. Practical significance refers to how an unusual event is likely to actually appear in a real world application, such as a rejection of a null hypothesis using data that looks feasible. O C. Statistical significance refers to the type of hypothesis test needed to analyze a population, with some tests being more important than Z tests. Practical…
Discuss the difference between the 95% and 99% confidence levels. What are the corresponding alpha levels and how confident is the researcher in the results? Edit View Insert Format Table 12pt ✓ | P ▸ Paragraph B IU A ✓T²✓ 岬くく描く To B √x www 11 ✓
If you use a 0.05 level of significance in a two-tail hypothesis test, what decision will you make if ZSTAT= -2.03?Question content area bottom Determine the decision rule. Select the correct choice below and fill in the answer box(es) within your choice. (Round to two decimal places to the right of the decimal point as needed.) State your conclusion. Choose the correct answer below.A.Since ZSTAT into the rejection region, do not reject HoB.Since ZSTAT into the rejection region, reject HoC.Since ZSTAT into the rejection region, do not reject HoD.Since ZSTAT into the rejection region, reject Ho

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IS Department of Child Welfare, the ve the actual age is different. A sam ith a significance level of a = 0.01. ull and alternate hypotheses.