If a p-value reported in the Excel linear regression output associated with a particular variable is 0.0014, it would indicate this variable: O a. none of the answers provided. O b. is significant if the significance level is O.1. O c. is not significant if the significance level is 0.1. O d. is not significant if the significance level is 0.05. e. is significant if the significance level is 0.01.
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- Suppose the observational units in a study are the patients arriving at an emergency room on a given day, 11 Nov 2019. For the following indicate whether it can legitimately be considered a variable or not: Whether or not men have to wait longer than women yes noIs there a significant difference between the population means of group 1 and group 2 kindergarten children on a social perceptiveness measures at 0.05 level? Consider the data below Group 1 Group 2Mean 21.3 18.1Sd 5.8 7.5N 15 10A school principal claims that the number of students who are tardy to school does not vary from month to month. A survey over the school year produced the following results. Using a 0.01 level of significance, test a teacher's claim that the number of tardy students does vary by the month. Number Aug. Oct. Sept. 18 13 19 Tardy Students Nov. Dec. Jan. 14 8 Feb. Mar. Apr. 6 13 11 15 May 16 Copy Data Step 2 of 4: Calculate the expected value for the number of tardies in October. Enter your answer as a fraction or a decimal rounded to three decimal places.
- A school principal claims that the number of students who are tardy to school does not vary from month to month. A survey over the school year produced the following results. Using a 0.01 level of significance, test a teacher's claim that the number of tardy students does vary by the month. Number Aug. Sept. Oct. 18 13 19 Tardy Students Nov. 14 Dec. Jan. Feb. Mar. Apr. May 8 6 13 11 15 16 Copy Data Step 3 of 4: Compute the value of the test statistic. Round any intermediate calculations to at least six decimal places, and round your final answer to three decimal places.2.2 In the following descriptions of a study, confounding is present. Describe the explanatory and confounding variable in the study and how the confounding may invalidate the conclusions of the study. Furthermore, suggest how you would change the study to eliminate the effect of the confounding variable. A hospital introduces a new screening procedure to identify patients suffering from a stroke so that a new blood clot medication can be given to the patient during the crucial period of 12 hours after stroke begins. The procedure appears to be very successful because in the first year of its implementation there is a higher rate of total recovery by the patients in comparison to the rate in the previous year for patients admitted to the hospital. A high school mathematics teacher is convinced that a new software program will improve math scores for students taking the SAT. As a method of evaluating her theory, she offers the students an opportunity to use the software on the…Listed below are numbers of intemet users per 100 people and numbers of scientific award winners per 10 million people for different countries. Construct a scatterplot, find the value of the line comtation coefficient and Kfind the value of r. Determine whether there is sufficient evidence to suppon a claim of linear comelation between the two variables. Use a significance level of a -0.01. Internet Users Award Winners 80.7 79.7 57.1 67.3 772 5.3 9.1 32 16 10.8 Construct a scatterplot Choose the correct graph below. OA LU odo a The linear correlation coefficient isr (Round to three decimal places as needed.) Determine the null and alternative hypotheses HO P HOP (Type integers or decimals. Do not round) The test statistic is t (Round to two decimal places as needed) The value is (Round to three deomal places as needed.) OB. Because the Palun of the linear correlation coefficient is award winners 37.8 0.1 Q OC M ddu 00. db the significance level, thereficent evidence to support the…
- The accounting department analyzes the variance of the weekly unit costs reported by two production departments. A sample of 16 cost reports for each of the two departments shows cost variances of 2.3 and 5.4, respectively. Is this sample sufficient to conclude that the two production departments differ in terms of unit cost variance? Use ? = 0.10. State the null and alternative hypotheses. -H0: ?12 > ?22 Ha: ?12 ≤ ?22 -H0: ?12 ≠ ?22 Ha: ?12 = ?22 -H0: ?12 ≤ ?22 Ha: ?12 > ?22 -H0: ?12 = ?22 Ha: ?12 ≠ ?22 Find the value of the test statistic. (Round your answer to two decimal places.) statistic=?? Find the p-value. (Round your answer to four decimal places. Remember: When using WebAssign technology to find p-values, use the entire test statistic (not the rounded answer from the previous question.)) p-value = ?? State your conclusion. -Reject H0. We can conclude that there is a difference between the population variances. -Do not reject H0. We cannot conclude that…A psychologist would like to research if the Hope scale (Synder, et al., 1991) scores differ between those living in City A and City B. The 12-item scale consisted of two subscales: a 6-item agency subscale and a 6-item pathways subscales. Scores on the 12 items were averaged, with higher scores indicating higher levels of hope. The following scores were obtained. Use Student’s t Test for Independent Groups, alpha at .05 2 tail City A 43 38 36 38 52 60 58 66 55 63 City B 62 34 35 52 58 72 57 55 80 67 Alternative hypothesis: ____________ Null hypothesis: ____________ t obtained: ____________ t critical: ____________ df: ____________ Cohen’s d: ____________ P value: ____________ Decision: ____________ Solution:Qualitative researchers should view the opinions of other researchers about the themes derived from data analysis as biased. This is because other researchers would not be as familiar with the results as the researcher. True False A researcher has conducted a crosstabs analysis to understand the distribution of income across 3 different gender groups (male, female and non-binary). They notes that the Chi-square test produced an asymptotic significance level of 0.027. What does this suggest? (pick the most appropriate interpretation) Income does not vary across different genders Income does not differ across the different grouops There are significant differences in the distribution of income for the male, female and non-binary groups The male group has sufficiently more income compared to the female and non-binary groups
- A sociologist is interested in the opinion of Minnesota teachers on the recent labor union law passed by Wisconsin lawmakers. a. What is the experimental unit? b.What is the population? c.What are the variables relevant to this study? Classify them as continuous, discrete, nominal, or ordinal. d. Explain how you would select a sample for this study. Explain pros and cons of your method.The better-selling candies are often high in calories. Assume that the following data show the calorie content from samples of M&M's, Kit Kat, and Milky Way II. M&M's Kit Kat Milky Way II 240 235 200 210 205 208 220 245 202 250 215 190 240 230 180 Test for significant differences among the calorie content of these three candies. State the null and alternative hypotheses. O H: MedianMM - MedianK = Median Mw H: Median MM * MedianKK + MedianMw O Ho: MedianMM = MediankK = Median Mw H: Median MM > Median KK > MedianMw O H.: Not all populations of calories are identical. H: All populations of calories are identical. O Ho: All populations of calories are identical. H: Not all populations of calories are identical. O Ho: MedianMM * MedianKk + MedianMw 'MW H: MedianMM = Mediankk = MedianMw Find the value of the test statistic. (Round your answer to two decimal places.) 8.62 Find the p-value. (Round your answer to three decimal places.) p-value =.005 At a 0.05 level of significance, what is your…. Justin wants to know whether a commonly prescribed drug does improve the attention span of students with attention deficit disorder (ADD). He knows that the mean attention span for students with ADD who are not taking the drug is 2.3 minutes long. His sample of 12 students taking the drug yielded a mean of 4.6 minutes. Justin can find no information regarding σx , so he calculated s2x =1.96. a. Identify the independent and dependent variables. b. In a sentence, state the null hypothesis being tested. c. Using symbols, state the null and alternative hypotheses. d. Determine the critical region using a one-tailed test with alpha = .05. e .Conduct the hypothesis test (Do the math and compare the t-critical and t-obtained values). f. State your conclusions in terms of H0 (Should you reject the H0 or fail to reject/accept the H0). g. Based on your analysis, is there a relationship between the drug and attention span?