Samples of two types of life and following da
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![Samples of two types of electric light bulbs were tested for the length
of life and following data were obtained
Type I
8
Type II
7
Sample size
Sample mean
Sample Standard
1234
1036
36
40
Dev
Is the difference in the means sufficient to warrant that type I
superior to type II regarding length of life.
a. 3.99: reject the null hypothesis
b. 9.33: reject the null hypothesis
c. 9.39: reject the null hypothesis
d. 3.90: reject the null hypothesis
e. NONE OF THE ABOVE](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F38b5f194-6eb7-4f6e-adb6-cff1f2ac0dde%2Fa72f8220-dbcb-4a11-b81f-4fb9e92ebaaf%2Feqqxrz_processed.jpeg&w=3840&q=75)
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- Interpret calculator display: Sa sample of mothers was asked how old they were when their first child was born. The following display from a TI-84 Plus calculator presents the results of a hypothesis test regarding the proportion who had their first child before the age of 24. 1-PropZTest prop*.4 Z=-.7071067812 p=.4794999735 6.36 n=75 A. What are the null and alternate hypotheses? B. What is the value of the sample proportion p? C. What is the p-value? D. Can Ho be rejected at the 0.05 level? Why or why not? E. Let a = 0.05. Use the critical value method and find the critical values. F. Can Ho be rejected at the 0.05 level? Why or why not? G. State the conclusion in non technical terms.Use the information in Ex 6.32 to find the 95% CI for the population mean LOS.A data ser includes weights in grams of 32 Reese's peanut butter cup miniatures. The accompanying stardust display shows results from using all 32 weights to test the claim that the sample is from a population with a. Mean equal to 8.953 g. Test the given claim by using the display provided. Use a 0.05 significance level identify the null and alternative hypothesis identify the test statistic identify the p value state the conclusion about the null hypothesis and original claim
- A chi-square test for homogeneity was conducted to investigate whether the four high schools in a school district have different absentee rates for each of four grade levels. The chi-square test statistic and pp-value of the test were 19.02 and 0.025, respectively. Which of the following is the correct interpretation of the pp-value in the context of the test?X8.3.23-T Question Help Assume that a simple random sample has been selected from a normally distributed population and test the given claim. Identify the null and alternative hypotheses, test statistic, P-value, and state the final conclusion that addresses the original claim. A safety administration conducted crash tests of child booster seats for cars. Listed below are results from those tests, with the measurements given in hic (standard head injury condition units). The safety requirement is that the hic measurement should be less than 1000 hic. Use a 0.01 significance level to test the claim that the sample is from a population with a mean less than 1000 hic. Do the results suggest that all of the child booster seats meet the specified requirement? 742 761 1326 609 627 435 OA Ho: H= 1000 hic B. Ho: µ= 1000 hic H1: µ= 1000 hic H1: p 1000 hic H1: p> 1000 hic H1 H< 1000 hic Identify the test statistic. t3 (Round to three decimal places as needed.) () More Ou Enter your answer in the…Compare the standard error from part (1) to the standard errorobtained in part (2) How did the different study designs affect theoutcome of each hypothesis test? Answer these in two or three sentences. 1) Difference Mean Std. Err. DF T-Stat P-value 2018 - 2017 -2059.8333 1013.6844 11 -2.0320264 0.067 2) Difference Sample Diff. Std. Err. DF T-Stat P-value μ1 - μ2 -1635.5833 3770.1822 21.894852 -0.43382077 0.6687
- A statistical test of hypothesis produces the P-value P = 0.0467. Will the null hypothesis be rejected at the 0.05 level of significance? Explain in 1-2 complete sentences. Edit View Insert Format Tools Table 12pt v Paragraph В I v T? v ... D2The mean voltage and standard deviation of 5 batteries from each manufacturer were measured. The results are summarized in the following table. Manufacturer Sample mean voltage (millivolts) Sample standard deviatio A 167 2 163 3 What type of hypothesis test should be performed? Select What is the test statistic? Ex: 0.123E What is the number of degrees of freedom? Ex: 25E Does sufficient evidence exist to support the claim that the voltage of the batteries made by the two manufacturers is different at the a = 0.1 significance level? SelectConsider the hypothesis test below. Ho : P1 – P2 0 The following results are for independent samples taken from the two populations. Sample 1 Sample 2 n1 = 200 n2 = 300 р — 0.29 P2 = 0.18 Use pooled estimator of p. a. What is the p-value (to 4 decimals)? Use Table 1 from Appendix B.
- 29 An ecologist selected a random sample of 30 prairie dogs from a colony and found that the mean mass of the prairie dogs in the sample was 0.94 kilograms (kg) with an associated margin of error of 0.12 kg. Which of the following is the best interpretation of the ecologist's findings? A) All prairie dogs in the sample have a mass between 0.82 kg and 1.06 kg. B) Most prairie dogs in the colony have a mass between 0.82 kg and 1.06 kg. C) Any mass between 0.82 kg and 1.06 kg is a plausible value for the mean mass of the prairie dogs in the sample. D) Any mass between 0.82 kg and 1.06 kg is a plausible value for the mean mass of the prairie dogs in the colony.As a result of dog breeding for certain physical traits, many dog breeds have changed in the last 100 years. A dog breeder wants to measure the effects of breeding on the face length of the boxer breed using a hypothesis test. Suppose that the dog breeder has face length measurements (in inches) from a random sample of 40 female boxer dogs taken in 1915 and a random sample of 40 female boxer dogs taken in 2015. Which type of hypothesis test should the breeder use? Reference: Elegans, C. 100 Years of Breed Improvement. 2012. Dog Behavior Science. Retrieved from: https://dogbehaviorscience.wordpress.com/2012/09/29/100-years-of-breed-improvement Test for one population proportion Test for one population mean Test for a difference in two population proportions Test for a difference in two population meansAn electrician wants to know whether batteries made by two manufacturers have significantly different voltages. The voltage of 91 batteries from each manufacturer were measured. The population standard deviations of the voltage for each manufacturer are known. The results are summarized in the following table. Manufacturer Sample mean voltage (millivolts) Population standard deviat A 119 2 118 4 What type of hypothesis test should be performed? Select What is the test statistic? Ex: 0.12E Does sufficient evidence exist to support the claim that the voltage of the batteries made by the two manufacturers is different at the a = 0.05 significance level? Select
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