The number of hours 10 students spent studying for a test and their scores on that test are shown in the table. Is there enough evidence to conclude that there is a significant linear correlation between the data? Use a = 0.05. Hours, x 4 5 39 47 50 55 65 67 76 78 83 95 4 5 Test score, y E Click here to view a table of critical values for Student's t-distribution. Setup the hypothesis for the test. Họ: p 0 Identify the critical value(s). Select the correct choice below and fill in any answer boxes within your choice. (Round to three decimal places as needed.) O A. The critical value is O B. The critical values are - to = and to = Calculate the test statistic. (Round to three decimal places as needed.) What is your conclusion? There V enough evidence at the 5% level of significance to conclude that there V a significant linear correlation between hours spent studying and test score. is or isnot is NOt

The number of hours 10 students spent studying for a test and their scores on that test are shown in the table. Is there enough evidence to conclude that there is a significant linear correlation between the data? Use a = 0.05. Hours, x 4 5 39 47 50 55 65 67 76 78 83 95 4 5 Test score, y E Click here to view a table of critical values for Student's t-distribution. Setup the hypothesis for the test. Họ: p 0 Identify the critical value(s). Select the correct choice below and fill in any answer boxes within your choice. (Round to three decimal places as needed.) O A. The critical value is O B. The critical values are - to = and to = Calculate the test statistic. (Round to three decimal places as needed.) What is your conclusion? There V enough evidence at the 5% level of significance to conclude that there V a significant linear correlation between hours spent studying and test score. is or isnot is NOt

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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The number of hours 10 students spent studying for a test and their scores on that test are shown in the table. Is there enough evidence to conclude that there is a significant linear correlation between the data? Use a = 0.05. Hours, x Test score, y 1 4 4 44 55 55 63 69 5 7 91 42 75 73 80 Click here to view a table of critical values for Student's t-distribution. Setup the hypothesis for the test. Họ: P Ha: p 0 Identify the critical value(s). Select the correct choice below and fill in any answer boxes within your choice. (Round to three decimal places as needed.) O A. The critical values are - to = and tn = O B. The critical value is Calculate the test statistic. (Round to three decimal places as needed.) t= What is your conclusion? There enough evidence at the 5% level of significance to conclude that there a significant linear correlation between hours spent studying and test score.
What are the critical values
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Assume the samples are random and independent, the populations are nomally distributed, and the population variances are equal. The table available below shows the prices (in dollars) for a sample of automobile batteries. The prices are classified according to battery type. At a = 0.10, is there enough evidence conclude that at least one mean battery price is different from the others? Complete parts (a) through (e) below. E Click the icon to view the battery cost data. (a) Let u1. P2. H3 represent the mean prices for the group size 35, 65, and 24/24F respectively. Identify the claim and state Ho and H. H Cost of batteries by type The claim is the V hypothesis. Group size 35 Group size 65 Group size 24/24F 101 111 121 124 D 146 173 182 278 124 140 141 89 (b) Find the critical value, Fo, and identify the rejection region. 90 79 84 The rejection region is F Fo, where Fo = (Round to two decimal places as needed.) (c) Find the test statistic F. Print Done F= (Round to two decimal places as…
You are testing the claim that the mean GPA of night students is different from the mean GPA of day students. A sample of 24 night students and 28 day students and their GPA's are recorded below. Test the claim using a 1% level of significance. Assume the population variances are unequal and that GPAs are normally distributed. Give answers to 4 decimal places. GPA-Night GPA-Day 3.05 3.38 2.91 3.02 3.27 3.4 3.29 2.73 3.3 3.24 3.35 2.69 3.39 3.25 3.52 3.33 3.39 2.33 3.25 3.51 3.08 3.07 3.27 2.9 3.32 3.48 3 2.94 3.62 2.93 3.64 3.31 3.54 2.62 3.45 2.66 3.29 3.27 3.56 2.76 3.15 2.7 3.4 3.27 3.51 2.96 3.54 2.86 3.24 2.72 2.64 3.14 What are the correct hypotheses? Note this may view better in full screen mode. Select the correct symbols in the order they appear in the problem.H0: Select an answer x̅₂ s² x̅₁ σ² μ₂ μ₁ p ? = ≠ > < ≥ ≤ Select an answer 0 μ₂ x̅₂ x̅₁ σ² p s² μ₁ H1: Select an answer σ² x̅₂ x̅₁ μ₁ μ₂…
The number of hours 10 students spent studying for a test and their scores on that test are shown in the table. Is there enough evidence to conclude that there is a significant linear correlation between the data? Use α=0.01. Hours, x 0 1 2 4 4 5 5 6 7 8 Test score, y 45 47 52 53 62 67 73 81 85 90 LOADING... Click here to view a table of critical values for Student's t-distribution. Setup the hypothesis for the test. H0: ρ ▼ less than or equals≤ less than< equals= greater than> greater than or equals≥ not equals≠ 0 Ha: ρ ▼ less than or equals≤ less than< equals= greater than> greater than or equals≥ not equals≠ 0 Identify the critical value(s). Select the correct choice below and fill in any answer boxes within your choice. (Round to three decimal places as needed.) A. The critical values are −t0=nothing and t0=nothing. B. The critical value is nothing.…
The number of hours 10 students spent studying for a test and their scores on that test are shown in the table. Is there enough evidence to conclude that there is a significant linear correlation between the data? Use a 0.05. Hours, x Test score, y 4 4 7. 41 44 53 57 64 68 75 76 85 96 Click here to view a table of critical values for Student's t-distribution. Setup the hypothesis for the test, Hg: p = 0 H p 0 Identify the critical value(s). Select the correct choice below and fill in any answer boxes within your choice. (Round to three decimal places as needed.) A The critical values are tn = -2.306 and to = 2.306 OB. The critical value is Calculate the test statistic. t=(Round to three decimal places as needed.)
A food truck owner recorded the temperature at noon, in degrees Fahrenheit, and the number of bowls of soup sold during the lunch hour for a random sample of 5 days. The data are shown in the following table. Temperature (degrees Fahrenheit) 57 75 43 68 67 Number sold 17 12 20 8 13 The mean temperature of the sample is 62 degrees Fahrenheit, and the mean number sold is 14. What is the correlation between the temperature and the number sold? A -0.85 B -0.68 0.68 D 0.73 E 0.85
The number of hours 10 students spent studying for a test and their scores on that test are shown in the table. Is there enough evidence to conclude that there is a significant linear correlation between the data? Use a= 0.01. Hours, x Test score, y 1 2 4 5 6. 74 79 4 7 8 37 45 54 57 62 66 84 90 E Click here to view a table of critical values for Student's t-distribution. Setup the hypothesis for the test. - X Data table Ho: P o H: P Level of confidence, c One tail, a Two tails, a 0.50 0.80 0.90 0.95 0.98 0.99 0.25 0.10 0.05 0.025 0.01 0.005 d.f. 0.50 0.20 0.10 0.05 0.02 0.01 1 3.078 1.000 0.816 0.765 6.314 12.706 31.821 63.657 6.965 9.925 2 1.886 1.638 1.533 2.920 4.303 %3D 3 2.353 3.182 4.541 5.841 4 0.741 2.132 2.776 3.747 4.604 4.032 3.707 5 0.727 1.476 2.015 1.943 2.571 3.365 6 0.718 1.440 2.447 3.143 7 0.711 1.415 1.895 2.365 2.998 3.499 8 0.706 1.397 1.860 2.306 2.896 3.355 0.703 1.383 1.372 1.363 1.833 2.262 2.821 3.250 10 0.700 1.812 2.228 2.201 2.179 2.764 3.169 11 0.697…
You wish to determine if there is a linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.01 and round all values to 4 decimal places. Driver Age 65 69 48 37 49 27 62 64 Ho: p = 0 Ha: p = 0 r= Find the p-value p-value= Number of Driver Deaths per 100,000 22 22 34 Find the Linear Correlation Coefficient The p-value is Greater than a Less than (or equal to) a 23 28 20 The p-value leads to a decision to O Do Not Reject Ho O Accept Ho O Reject Ho 33 33 The conclusion is O There is a significant negative linear correlation between driver age and number of driver deaths. There is a significant linear correlation between driver age and number of driver deaths. O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. O There is a significant positive linear correlation…
Statistics students believe that the mean score on a first statistics test is 65. The instructor thinks that the mean score is higher. She samples 10 statistics students and obtains the scores: Grades 73.5 88 63.9 85.5 62.7 65 83.2 61.9 88 62.7 Test grades are believed to be normally distributed.Use a significance level of 5%. State the alternative hypothesis: HA:HA: μ>65μ>65 μ<65μ<65 μ≠65μ≠65 State the mean of the sample: State the standard error of the sample means: State the test statistic: t=t= State the p-value: Decision: Fail to reject the null hypothesis. Reject the null hypothesis.
The number of hours 10 students spent studying for a test and their scores on that test are shown in the table. Is there enough evidence to conclude that there is a significant linear correlation between the data? Use a=0.01. Hours, x Test score, y Click here to view a table of critical values for Student's t-distribution. 0 43 1 2 4 4 5 5 41 53 48 60 66 72 Setup the hypothesis for the test. Ho: P 0 HP YO Calculate the test statistic. There Identify the critical value(s). Select the correct choice below and fill in any answer boxes within your choice. (Round to three decimal places as needed.) OA. The critical values are -to = and to = OB. The critical value is t= (Round to three decimal places as needed.) What is your conclusion? 6 82 7 8 80 95 enough evidence at the 1% level of significance to conclude that there a significant linear correlation between hours spent studying and test score.