Ms. Arceo studies if age correlates with the average number of hours of sleep, so she selected a random sample of size 10 and surveyed the needed data.age(x)hours of sleep (y)STEP 2:a = 0.05two tailed testdf = [e]Critical value/s: [f]8STEP 4:Decision: [h]8EP 3:What is the computed test value? [g]STEP 5:Conclusion:158choose your answer...choose your answer...227STEP 1:Ho: There is [c] between age and number of hours of sleep.Ha: There is [d] between age and number of hours of sleep.27734 20 25There is [i] between age and number of hours of sleep.[a] choose your answer...Test the significance of the correlation coefficient at 0.05 level of significance.Correlation coefficient r: [a]For the sample data, there is a [b] correlation between age and number of hours of sleep.56✓ [b] choose your answer...[f] choose your answer...641 1587365Testing of Significance of r✓ [c] choose your answer...✓ [g] choose your answer...✓ [d] choose your answer...[h] choose your answer...✓ [i][e]

Here dependent variable (y) = hours of sleepIndependent variable (x) = ageSample size Assume the…

Answered: For the sample data, there is a [b]…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Data on the weights (Ib) of the contents of cans of diet soda versus the contents of cans of the regular version of the soda is summarized to the right. Assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. Complete parts (a) and (b) below. Use a 0.05 significance level for both parts. Diet Regular H2 40 40 0.78244 lb 0.81852 lb 0.00435 lb 0.00752 lb a. Test the claim that the contents of cans of diet soda have weights with a mean that is less than the mean for the regular soda. What are the null and alternative hypotheses? B. Ho: H1 H2 O A. Ho: H1=42 H: P1
Find the p-value of a test-statistics for the difference between two means, paired samples, given a test-statistic of t= 2.015, : > 0, n=19.
It is of interest to determine if the average drying time of a certain brand of latex paint is not 4.5 hours. To do this, 15 cans of the branded latex paint were selected. Normality test of drying time of the branded latex paint: Shapiro-Wilk normality test data: drying time W = 0.9691, p-value = 0.1396 Which of the following is(are) TRUE at 5% level of significance? I. If the p-value of the appropriate test is 0.00412, the conclusion is "there is sufficient evidence to say that the average drying time of a certain brand of latex paint is NOT 4.5 hours. II. Suppose that the 95% confidence interval for the true mean drying time of a certain brand of latex paint is [3.25,4.32]. The NULL HYPOTHESIS WILL BE REJECTED since the hypothesized value of the mean of 4.5 is not within the constructed interval. A. I only B. II only C. Both I and II D. Neither I nor II
The manufacturer claims that your new car gets 32 mpg on the highway. You suspect that the mpg is more for your car. The 69 trips on the highway that you took averaged 35.7 mpg and the standard deviation for these 69 trips was 12.4 mpg. What can be concluded at the αα = 0.05 level of significance? For this study, we should use Select an answer z-test for a population proportion t-test for a population mean The null and alternative hypotheses would be: H0:H0: ? p μ Select an answer ≠ = < > H1:H1: ? μ p Select an answer ≠ > = < The test statistic ? t z = (please show your answer to 3 decimal places.) The p-value = (Please show your answer to 4 decimal places.) The p-value is ? > ≤ αα Based on this, we should Select an answer reject fail to reject accept the null hypothesis. Thus, the final conclusion is that ... The data suggest that the population mean is not significantly more than 32 at αα = 0.05, so there is statistically insignificant…
A physical therapist wanted to know whether the mean step pulse of men was less than the mean step pulse of women. She randomly selected 54 men and 70 women to participate in the study. Each subject was required to step up and down a 6-inch platform. The pulse of each subject was then recorded. The following results were obtained. Two sample T for Men vs Women N Mean StDev SE Mean Men Women 98% CI for mu Men - mu Women (- 12.20, - 1.00) T-Test mu Men = mu Women (vs H2 O C. Ho: H1 = H2; Ha: H1 #H2 (b) Identify the P-value and state the researcher's conclusion if the level of significance was a = 0.01. What is the P-value? P-value =
iger 2. Hypothesis: College students sleep less than the recommended 8 hours. Data: Sample mean (X) = 7.25, sample standard deviation (Sx) = 2.1, N = 25.
A researcher wants to select a sample from a population with a mean (µ)= 60 and administer a treatment to individuals in the sample. He thinks the treatment will help improve scores. a. State the hypotheses for a one-tailed test. b. For a one-tailed test, would the critical region be located in the positive or right-hand tail of the distribution, or in the negative or left-hand tail of the distribution?
One group of accounting students took a distance learning class, while another group took the same course in a traditional classroom. At α = .10, is there a significant difference in the mean scores listed below? Exam Scores for Accounting Students Statistic Distance Classroom Mean scores x⎯⎯1x¯1 = 9.0 x⎯⎯2x¯2 = 10.2 Sample std. dev. s1 = 2.1 s2 = 2.4 Number of students n1 = 19 n2 = 19 Assume μ1 is the mean score of distance learning and μ2 is the mean score of classroom learning. The appropriate hypotheses is H0: μ1 – μ2 = 0 vs. H1: μ1 – μ2 ≠ 0 (b) Specify the decision rule. (Round your answers to 3 decimal places. A negative value should be indicated by a minus sign.) Reject the null hypothesis if tcalc < _______. Or tcalc > ______________. (c) Find the test statistic tcalc. (Round your answer to 4 decimal places. A negative value should be indicated by a minus sign.) tcalc ______________
Q2) Which distribution is used to determine whether a correlation coefficient is statistically significant? 1. P-distribution 2. t-test distribution 3. One-sample t-test 4. Chi-squared test
comparison of the precisions of two machines developed for extracting juice from oranges is to be made using the following data. Is there sufficient evidence to indicate that there is a difference in the precision of the two machines at the 5% level of significance? Machine A Machine B s2 = 1.4 ounces2 s2 = 3.1 ounces2 n=25 n=20
A Z-test for single population mean is conducted with Ha: H < 10, at significance level of 0.05, The most significant result is suggested by the following test statistic -1.65 2.2 4.7 1.96 O3.7 -4.5
The p-value for a t-statistic was .008. What is the best way to report the level of significance? p<.008 p<.05 p<.01 p<.001

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