In a test of H0:μ = 100 against Ha:μ>100, a sample of size 80 producers z = 0.8 for the value of the test statistic. The P-value of the test is thus equal to?
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In a test of H0:μ = 100 against Ha:μ>100, a
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- .Researchers are testing the breaking strength of a new brand of rope using a large sample of ropes. In a test of Ho: p=0.80 versus Ha: p>0.80, where p is the true proportion of all ropes of this brand that would break when subjected to a weight of 1000 pounds, the test statistic is z = 1.45. Which of the following is true? (A) Ho is rejected at the 5% level, but not at the 10% level of significance. (B) Ho is rejected at the 10% level, but not at the 5% level of significance. (C) Ho is rejected at both the 5% and 10% level of significance. (D) Ho is not rejected at both the 5% and 10% level of significance. (E) Ho is not rejected at any level of significance.The parameters of my population distribution are: µ = 20 and σ = 5. The parameters of my sample are: Mean = 24 and n = 25. Calculate my sample's Z score on the comparison distribution.In a Yes/No population, 37% are Yeses. For a specific sample of size n = 43, we have P-bar = 0.48. Find the Z-score for the P-bar value.
- J In-shop othesis test for the difference between two population proportions 02562 2600368.qx3zqy7 Jump to level 1 The manager of a coffee shop is trying to determine if drive-through customers buy fewer items than customers who come into the shop. The manager randomly samples both populations and calculates the proportion of customers in each that buy three or more items. The results of the data collected are shown below. What are the population parameters? Y Pick Drive-through Successes 27 Successes What is the level of significance? Ex: 0.12 Observations 76 Observations 41 119 0.345 p-hat_1 0.355 p-hat_2 What is the null hypothesis Ho? Pick Confidence Level 0.1429 What is the alternative hypothesis Ha? Pick p-value Should Ho be rejected or does Ho fail to be rejected? Pick What conclusion can be drawn from the data? Pick evidence exists to support the claim that drive-through customers buy fewer items than in-shop customers. 2 p WA researcher reports t(26) = 2.71 for a two independent samples t-test. How many participants were in the entire experiment? a. 28 b. 27 c. 30 d. cannot determine with the information providedThe old variety of a plant has 70% pink flowers. A new variety is developed. In a random sample of 93 plants from the new variety, 59 had pink flowers. Test the claim that the percent of plants with pink flowers for the new variety is different than 70%. Use a 0.10 level of significance. Question 6 options: DO NOT Reject H0 Using a 0.10 level of significance there is not evidence to say the proportion of pink flowers is different than 0.70 Reject H0 Using a 0.10 level of significance there is evidence to say the proportion of pink flowers is not different than 0.70
- The t test for the difference between the means of two independent populations assumes that the respective Seleccione una: O A. populations are approximately normal. В. sample sizes are equal. С. sample variances are equal. O D. all of the aboveIn a test of H0: p = 0.40 against Ha: p # 0.40, the sample data yield the test statistics z = 1.78. Find the p-value for this test. Round your answer to 4 decimal places.Thirty different video games showing drug use were observed. The duration times of drug use (in seconds) were recorded. When using this sample for a t test of the claim that the population mean is greater than 92 sec, what does df denote, and what is its value? what's the value of df?
- A researcher wants to know if male and female college students differ with regard to their GPAs. She randomly gets 16 male and 16 female college students to report their GPAs. The males reported a mean GPA of 3.05 with a SS = 3.75. The females reported a mean GPA of 3.1 with a SS = 2.4. You are going to be conducting an independent samples t-test. Compute the independent samples t-statistic:Two major automobile manufacturers have produced compact cars with engines of the same size. We are interested in determining whether or not there is a significant difference in the mean MPG (miles per gallon) when testing for the fuel efficiency of these two brands of automobiles. A random sample of eight cars from each manufacturer is selected, and eight drivers are selected to drive each automobile for a specified distance. The following data (in miles per gallon) show the results of the test. Assume the population of differences is normally distributed. Driver Manufacturer A Manufacturer B 1 36 30 2 31 31 3 30 28 4 30 27 5 29 27 6 33 30 7 35 25 8 29 31 The test statistic is 2.316. At ? = 0.10, the null hypothesis should be revised .should not be tested. should be rejected. should not be rejected.A researcher computed a 2 x 4 between subjects ANOVA. How many independent variables did the researcher have? How many levels are there in the researcher’s IV(s)? Were there any within subject variables (if so how many)? Were there any between subject variables (if so how many)? How many conditions were there?
