the null and alternative hypothesis are given. h0: p= 0.84 h1: pgreater than .84 determine left, right or two tailed and the parameter that is being tested
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the null and alternative hypothesis are given.
h0: p= 0.84
h1: pgreater than .84
determine left, right or two tailed and the parameter that is being tested
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- A hypothesis test is performed at the 5% significance for a normal population mean u iwth the null and alternative hypotheses given below. Haitl# Ho Orl =r1:0H It is found that the p-value is p = 0.0123. What is the correct decision and interpretation of the hypothesis test? O Inconclusive or not enough information to tell. O Do not reject the null hypothesis. Our data supports the null hypothesis. O Do not reject the null hypothesis. We have proved the null hypothesis is true. O Reject the null hypothesis. We have proved the null hypothesis is false. O Reject the null hypothesis. Our data is statistically insignificant. O Reject the null hypothesis. Our data does not support the null hypothesis.Q10. Suppose the alternative hypothesis for a particular test is given by H1: p ≠ 0.50. What is theP-value for this test if test statistic z = 1.35.a. 0.2010b. 0.0885c. 0.9115d. 0.1770Suppose researchers conducted a study to see if the mean body temperature for adultswas different from 98.6 degrees Fahrenheit. For this study, they took a random sampleof 25 healthy adults and found a mean body temperature of 98.2 degrees Fahrenheit forthe sample with a standard deviation of 0.6 degrees. The temperatures of the sampleparticipants were unimodal and symmetric.a. Write the null hypothesis and alternative hypothesis and define your parameter.b. Show that the necessary conditions (Randomization Condition, 10% Condition,Nearly Normal Condition) are satisfied to perform a hypothesis test. Brieflyexplain how each condition is satisfied.c. Perform the hypothesis test and find the P-value. (To show your work: Writedown which calculator you are using and what values you are entering into thecalculator.)d. Is there strong evidence that the mean body temperature is different than 98.6degrees? Briefly explain how you know.
- The null and alternative hypotheses are given. Determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed. What parameter is being tested? Ho: µ > 8 What type of test is being conducted in this problem? O Right-tailed test Left-tailed test O Two-tailed test What parameter is being tested? O Population proportion Population standard deviation O Population meanConsolidated Power, a large electric power utility, has just built a modern nuclear power plant. This plant discharges waste water that is allowed to flow into the Atlantic Ocean. The Environmental Protection Agency (EPA) has ordered that the waste water may not be excessively warm so that thermal pollution of the marine environment near the plant can be avoided. Because of this order, the waste water is allowed to cool in specially constructed ponds and is then released into the ocean. This cooling system works properly if the mean temperature of waste water discharged is 60°F or cooler. Consolidated Power is required to monitor the temperature of the waste water. A sample of 100 temperature readings will be obtained each day, and if the sample results cast a substantial amount of doubt on the hypothesis that the cooling system is working properly (the mean temperature of waste water discharged is 60°F or cooler), then the plant must be shut down and appropriate actions must be taken…Use the AustStates data. Perform a repeated measures ANOVA using the 9 years as the paired variables and the states as the observations. Based on the Greenhouse-Geisser p-value of p=0.130, sphericity can be assumed for these data. The result of the analysis is F=9.563 on degrees of freedom, for a p-value of You the null hypothesis. 8 and 56, p<0.001, reject 8 and 56, p<0.001, fail to reject 1.0 and 7.3, p=0.016, reject 1.0 and 7.3, p=0.016, fail to reject
- Can someone help me understand these two questions I'm not sure how to find the answers? An independent-samples research study uses two samples, each with n = 12 participants. If the data produce a t-statistic of t = 2.50, then which of the following is the correct decision for a two-tailed hypothesis test? Reject the null hypothesis with α = .05 but fail to reject with α = .01. Reject the null hypothesis with either α = .05 or α = .01. Fail to reject the null hypothesis with either α = .05 or α = .01. Fail to reject the null hypothesis with α = .01, but reject the null with α = .05. The results of an independent-samples study are reported as “t (20) = 2.12, p < .05, two-tailed.” For this study, what tcritical values form the boundaries for the critical region? ± 2.093 ± 2.086 ± 2.080 ± 2.074K During the 2015 season, the home team won 142 of the 263 National Football League games. Is this strong evidence of a home field advantage in professional football? Test an appropriate hypothesis and state your conclusion. Be sure the appropriate assumptions and conditions are satisfied before you proceed. Use α = 0.05. Determine the hypotheses for this test. (The proportion of home teams winning is denoted by p.) Ho: P = HA: P (Type 11 V V # cimals.) …... View an example StatorumahPlease use the data to find the hypothesis test
- O ii O i QUESTION 15 Determine whether the alternative hypothesis is left-tailed, right-tailed, or two-tailed. HoiH=11 H: H< 11 right-tailed two-tailed left-tailed Click Save and Submit to save and submit. Click Save All Answers to save all answers. JUL 19Plz help asap t4.Describe type I and type II errors for a hypothesis test of the indicated claim. A furniture store claims that at least 40% of its new customers will return to buy their next piece of furniture. Describe the type I error. Choose the correct answer below. OA. A type I error will occur when the actual proportion of new customers who return to buy their next piece of furniture is at least 0.40, but you fail to reject Ho: p20.40. OB. A type I error will occur when the actual proportion of new customers who return to buy their next piece furniture is at least 0.40, but you reject Ho: p20.40. OC. A type I error will occur when the actual proportion of new customers who return to buy their next piece of furniture is no more than 0.40, but you reject Ho: p ≤ 0.40. OD. A type I error will occur when the actual proportion of new customers who return to buy their next piece f furniture is no more than 0.40, but you fail to reject Ho: p ≤0.40. Describe the type II error. Choose the correct answer…
