Determine if there is a significant positive correlation between the sets of data at a 10% significance level.43 24 62 443162975030 26Xy27 263854Submit Questioncaps lockBEescTest Conclusion:data sets.O Reject Ho. There is enough evidence to suggest a significant positive linear correlation between the9between the data sets.Fail to Reject Ho. There is not enough evidence to suggest a significant positive linear correlationQCritical Value, tcrit=OTest Statistic, ttestA211W=S[three decimal accuracy]I[three decimal accuracy]aE4C@RFDEC7%5V.TGE6MacBook ProManYBالهHN8J♫tvM171+19»

The data shows the variable x and y.

Answered: Determine if there is a significant…

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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Repeated baseline measurements help improve the ____ of a single-subject study. A.Ecological validity B. Generalizability C. Internal validity D. Sample's representativeness
Choose the appropriate statistical test. When computing, be sure to round each answer as indicated. A dentist wonders if depression affects ratings of tooth pain. In the general population, using a scale of 1-10 with higher values indicating more pain, the average pain rating for patients with toothaches is 6.8. A sample of 30 patients that show high levels of depression have an average pain rating of 7.1 (variance 0.8). What should the dentist determine? 1. Calculate the estimated standard error. (round to 3 decimals). [st.error] 2. What is thet-obtained? (round to 3 decimals). 3. What is the t-cv? (exact value) 4. What is your conclusion? Only type "Reject" or Retain"
Determine if there is a significant negative correlation between the sets of data at a 10% significance level. 41 39 52 33 39 47 58 61 60 y 28 33 14 41 32 21 8 4 5 Critical Value, tcrit = [three decimal accuracy] Test Statistic, ttest = [three decimal accuracy] Test Condusion: O Fail to Reject Họ. There is not enough evidence to suggest a negative significant linear correlation between the data sets. O Reject Ho. There is enough evidence to suggest a negative significant linear correlation between the data sets.
a study of store checkout scanners, 1234 items were checked and 23 checked items were overcharges. Use a 0.05 significance level to test the claim that with scanners, 1% of sales are overchanrges. (Before scanners were used, the overcharge rate was estimated to be about 1%). a. Define the parameter A. mu = The proportion of all sales that are undercharges B. p = The proportion of all sales that are incorrect C. p = The proportion of all sales that are overcharges D. mu = The mean number of sales that are overcharges b. State the null and alternative hypotheses A. Upper H 0 : mu not equals 0.01 Upper H 1 : mu equals 0.01 B. Upper H 0 : p greater than 0.01 Upper H 1 : p equals 0.01 C. Upper H 0 : p equals 0.01 Upper H 1 : p not equals 0.01 D. Upper H 0 : p equals 23 Upper H 1 : p less than 23 c. Calculate the sample proportion ModifyingAbove p…
A department of transportation's study on driving speed and miles per gallon for midsize automobiles resulted in the following data: Speed (Miles per Hour) 30 50 39 56 30 24 61 24 51 56 Miles per Gallon 29 24 25 22 30 33 21 35 25 25 Compute the sample correlation coefficient (to 2 decimals and enter negative value as negative number). What can you conclude, based on your computation of the sample correlation coefficient? -strong postive relationship -moderate postive relationship -neither postive or negative relationship -strong negative relationship -moderate negative relationship Select the correct interpretation for the sample correlation coefficient. (i) For driving speeds between 24 and 61 miles per hour, higher speeds are associated with higher miles per gallon. (ii) For driving speeds between 24 and 61miles per hour, higher speeds are associated with lower miles per gallon. (iii) For driving speeds between 24 and 61 miles per hour, lower speeds are associated…
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A data set includes weights of garbage discarded in one week from 62 different households. The paired weights of paper and glass were used to obtain the results shown to the right. Is there sufficient evidence to support the claim that there is a linear correlation between weights of discarded paper and glass? Use a significance level of α = 0.05. Click here to view a table of critical values for the correlation coefficient. Determine the null and alternative hypotheses. Ho: P H₁: p (Type # V 11 > cimals. Do not round.) ... Correlation matrix: Variables Paper Glass 10.1768 Paper Glass 0.1768 1
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A data set includes weights of garbage discarded in one week from 62 different households. The paired weights of paper and glass were used to obtain the results shown to the right. Is there sufficient evidence to support the claim that there is a linear correlation between weights of discarded paper and glass? Use a significance level of α = 0.05. Click here to view a table of critical values for the correlation coefficient. Determine the null and alternative hypotheses. Ho: P H₁: P (Type integers or decimals. Do not round.) Identify the test statistic, r. r= (Round to three decimal places as needed.) Identify the critical value(s). (Round to three decimal places as needed.) A. There are two critical values at r = ± B. There is one critical value at r = State the conclusion. Because the absolute value of the test statistic is the positive critical value, there there is a linear correlation between the weights of discarded paper and glass for a significance level of α = 0.05.…
ARE THE FOLLOWING DATA EQUALLY DISTRIBUTED ACROSS CATEGORIES? TEST AT.05 SIGNIFICANCE LEVEL. ABICID 35 15 10 45 WHAT STATISTICAL TEST WAS USED? OBSERVED VALUE ? CRITICAL VALUE? ACCEPT OR REJECT NULL? DO THE GROUPS DIFFER SIGNIFICANTLY?

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