1.)_Do we reject the null of hypothesis ? 2.) State your conclusion in the form of a full statement ''With a_______level of significance, there is/is not enough of evidence to support the claim that____'' VLabelsAlpha: 0.05Output optionsOutput Range:SDS1New Worksheet Ply:New Workbook3. The results are shown below, the left tail p-value is indicated by P(T < t) one tailFt-Test: Two-Sample Assuming Equal VariancesNew methodOld methodМean368.3389.5384615Variance497.3444444210.6025641Observations1013Pooled Variance333.4919414Hypothesized Mean0.df21tStat-2.76495546P(T<=t) one-tailtCritical one-tailP(T<=t) two-tail0.0058025021.7207429030.011605003

We have given that: Level of significance=α==0.05 Sample sizes:n1=10,n2=13 df=n1+n2- 2=10+13-2=21

1.)_Do we reject the null of hypothesis ? 2.) State your conclusion in the form of a full statement ''With a_______level of significance, there is/is not enough of evidence to support the claim that____''

1.)_Do we reject the null of hypothesis ? 2.) State your conclusion in the form of a full statement ''With a___level of significance, there is/is not enough of evidence to support the claim that''

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.5: Comparing Sets Of Data

Problem 13PPS

See similar textbooks

Similar questions

My instructor is asking me to Calculate the percent reduction in sum of squares in the attached data set. I'm not quite sure how to do that thanks for your help Anne
The accompanying table lists distances (mm) between pupils of randomly selected U.S. Army personnel collected as part of a large reputable study. Results from two-way analysis of variance are also shown. Use the displayed results and use a 0.05 significance level. What do you conclude? A Click the icon to view the data and two-way analysis of variance results. First test for an interaction between the two factors. Determine the null and alternative hypotheses. Choose the correct answer below. - X Data and Two-Way ANOVA Results O A. Ho: Distances between pupils are affected by an interaction between gender and handedness. H: Distances between pupils are not affected by an interaction between gender and handedness. Right-Handed 64 65 60 59 57 71 64 61 70 64 65 62 67 69 70O Left-Handed O O B. Ho: Distances between pupils are not affected by handedness. H,: Distances between pupils are affected by handedness. Female Male 68 68 65 66 64 O C. Ho: Distances between pupils are not affected by…
Data is collected to compare two different types of batteries. We measure the time to failure of 10 batteries of each type. Battery A: mean= 8.65 Battery B: mean=11.23 Assume equal variances. Perform a .05 level test to determine if Battery B outlasts Battery A by more than 2 hours. Use Sp= .88569 What is the Chart Value for this problem?
Plz help asap, also need the t test, crit value(s), rejection region, and conclusion.
The accompanying table lists distances (mm) between pupils of randomly selected U.S. Army personnel collected as part of a large reputable study. Results from two-way analysis of variance are also shown. Use the displayed results and use a 0.05 significance level. What do you conclude? Click the icon to view the data and two-way analysis of variance results. First test for an interaction between the two factors. Determine the null and alternative hypotheses. Choose the correct answer below. A. Ho: Distances between pupils are not affected by an interaction between gender and handedness. H₁: Distances between pupils are affected by an interaction between gender and handedness. B. Ho: Distances between pupils are not affected by gender. H₁: Distances between pupils are affected by gender. C. Ho: Distances between pupils are not affected by handedness. H₁: Distances between pupils are affected by handedness. D. Ho: Distances between pupils are affected by an interaction between gender and…
Please Help
A two-sample test for means was conducted to test whether the mean number of movies watched each month differed between males and females. The Excel Data Analysis tool results are shown below. t-Test: Two-Sample Assuming Unequal Variances Female Male Mean 5.6 7.5 Variance 6.267 21.833 Observations 10 10 Hypothesized Mean Difference 0 df 14 t Stat −1.133 P(T<=t) one-tail 0.138 t Critical one-tail 1.76 P(T<=t) two-tail 0.276 t Critical two-tail 2.144 Explain how to use this information to draw a conclusion if the null hypothesis is μμH0: μF−μM≤0. Clearly state the correct critical value and p-value and your conclusion. Explain how to use this information to draw a conclusion if the null hypothesis is μμH0: μF−μM≥0. Clearly state the correct critical value and p-value and your conclusion. Explain how to use this information to draw a conclusion if the…
The principal of an elementary school wanted to see if there are differences in the abilities of first, second, and third graders to render a three-dimensional image into a two- dimensional drawing (as judged by trained coders). All students were attending the same school, and data were collected during the same semester. What test I use? -Independent samples t test -ANOVA -Paired samples t test -Correlation
i have attached a picture!
Background: The butterfat content of random samples of Guernsey, Holstein and Jersey cows are provided below. Each data value represents the percentage butterfat. Directions: Perform an analysis of variance (ANOVA) to determine if the differences in the percentage butterfat of the different breeds of cows is statistically significant. Click on the Data button below to display the data. Copy the data into a statistical software package and click the Data button a second time to hide it.Data Guernsey Jersey Holstein 4.59 5.03 3.22 5.2 6.55 3.67 5.61 5.27 3.61 5.04 4.44 3.92 4.72 5.33 4.21 4.64 5.49 3.77 4.53 5.43 3.12 3.92 4.93 3.95 5.09 5.17 3.54 4.67 4.98 3.5 5.24 5.96 3.89 4.56 5.28 3.71 4.76 5.31 3.81 4.98 4.74 3.33 4.72 5.08 3.91 4.61 4.17 3.95 4.82 6.06 5.36 4.86 5.45 6.18 Choose the correct null and alternative hypotheses. H0: μ1=μ2=μ3H0: μ1=μ2=μ3Ha: μ1,μ2,μ3Ha: μ1,μ2,μ3 are not all equal. Ha: μ1,μ2,μ3Ha: μ1,μ2,μ3 are…
compute: mean , median , Quartiles (Q1 , Q2 , Q3 ), range , interquartile range, Mean Deviation , Variance , Standard deviationcalculate: COEFFICIENT OF SKEWNESS USING: (A) KARL-PEARSON’S COEFFICIENT OF SKEWNESS(B) BOWLEY’S COEFFICIENT OF SKEWNESS
Attached is the data set: Hint: to perform the analysis, the easiest way is to copy and paste the data into MS Excel and use the Data Analysis ToolPak to perform the requested calculations. Assume the treatment groups have equal variance. Answer to 3 decimals unless otherwise specified. All of these numbers are generated in the Data Analysis ToolPak: = mean weight of treatment group = mean weight of control group = variance of treatment group = variance of control group = pooled variance = degrees of freedom (whole number) = calculated t statistic reported by the data analysis tool pack (NOTE: t statistic should always be a positive number) = P value reported by the data analysis tool pack (answer to 3 significant figures) = critical reported by the data analysis tool pack. Based on this, would you reject or fail to reject the null hypothesis? As a result of this experiment, researchers would or would not expect mice in fields with Martin Grass to weigh more than mice in…