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 thedata? Use «= 0.05.Hours, xTest score, y1244556743455554606872818494Click here to view a table of critical values for Student's t-distribution.Setup the hypothesis for the test.Họ: p - 0I only need help with the t-test and the interpretationIdentify 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 - to = -2.306 and to = 2.306O B. The critical value isUse r= 0.962 and n= 10 to calculate the test statistic.Calculate the test statistic.Interpret this conclusion in the context of the original claim.t=(Round to three decimal places as needed.)

Data given X Y 0 43 1 45 2 55 4 54 4 60 5 68 5 72 6 81 7 84 8 94

Answered: The number of hours 10 students spent…

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
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…
The number of hours 10 students spent studving 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 1 44 2 4 4 6 7 8 Test score, y 37 50 56 61 68 73 73 82 93 E Click here to view a table of critical values for Student's t-distribution. Setup the hypothesis for the test. Ho: P %3D 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 to = O B. The eritical value is
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.)
Find the regression equation, letting overhead width be the predictor (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is 1.7 cm. Can the prediction be correct? What is wrong with predicting the weight in this case? Use a significance level of 0.05. Overhead Width (cm) Weight (kg) Click the icon to view the critical values of the Pearson correlation coefficient r. F n example Get more help. The regression equation is y=-159.5+ 43.2 x (Round to one decimal place as needed.) 3 # The best predicted weight for an overhead width of 1.7 cm is kg. (Round to one decimal place as needed.) I 80 E 26 D 7.8 161 C $ 4 Q F4 8.3 212 R F Stv 9.9 276 07 20 V F5 T 9.1 215 G 6 B 9.7 262 746 MacBook Air FO 7.3 166 Y H & 7 N F7 U X +00 8 J DII FB - M ( 9 K O < I ) O |qqqqqqqqi L F10 Clear all P . V : ; F11 { + [ command option Check answer = ? 11 I F12 1
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…
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.
X Y 7 3 3 1 6 5 4 4 5 2 Compute the Pearson correlation What is your conclusion? Be sure to state your rejection and interpretation. Also, give the statistics in APA style. Use a two-tailed test and alpha of .05
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 2 50 55 E Click here to view a table of critical values for Student's t-distribution. 1 4 4 5 7 8 39 47 65 67 76 78 83 95 Setup the hypothesis for the test. Họ: p 0 Ha: p 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. t= (Round to three decimal places as needed.) 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. is or is not isNot

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