Answer:
The difference is not statistically significant.
Explanation:
For the given test, the p-value is greater than the alpha value 0.05, so we do not reject the null hypothesis and conclude that the difference is not statistically significant. The given value of t represents the test statistic value and not a critical value. Also, there are 21 participants in the not. The number 20 represent the degrees of freedom.
Question 3 1 pts The following APA summary was reported for a one-sample t-test (two-tailed, alpha...
Question 8 3 pts The a two-tailed hypothesis test Is related to a confidence interval at the same level of alpha. All of the answers are true. Is expressed in a probability framework with a chance of being wrong in our conclusion. Has an alternative hypothesis that uses Not Equal in the expression For this problem you will need a t-table. What is the t-value needed for the critical value for a one-tailed upper hypothesis test with a sample size...
When conducting a one-tailed test for equality of means, when n1 = 54 n2 = 38 and a = 0.05, what is the t-critical value QUESTION 4 A financial analyst asked the following qu uestion: e average earnings yield of manufacturing c ra ngs of retailing companies? manufacturing companies the same as the ave ed 19 manufacturing companies and 24 To examine this question, the analyst ra The descriptive statis e statistics from each sample of companies a the population...
QUESTION 1 "Look at the SPSS output below. Given a two-tailed test and an alpha of 0.01, what would the appropriate APA-style phrase be?" Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means sig Mean Difference Std. Error Difference 95% Confidence Interval of the Mean Lower Upper sig (2-tailed) TAPSPEED 319 582 -2.845 13 .014 -14.00 4.92 -24.63 -3.37 Equal variances assumed Equal variances not assumed -2.927 11.865 013 -14.00 4.78 -24.44 -3.56 O "t...
please use manual calculations do not use excel, please For each question, assume you're using an alpha of 05, and a two-tailed test, to make your decision about whether to reject the null hypothesis. 4. Assume that Data Set C depicts scores for 30 individuals who participated in a two-way independent groups design Analyze the data using a two-way ANOVA and complete an ANOVA table reporting the relevant DD, df, MS, and Fs Make sure to also report each of...
i need help with this question, please show work by hand no excel, spss thank you ! Assume you're using an alpha of 05, and a two-tailed test, to make your decision about whether to reject the null hypothesis. Assume that 18 subjects received one of three treatments and produced the data reported in Data Set B. Conduct a one-way ANOVA to see if the means of the three treatments are different on a statistically significant level. Complete an ANOVA...
QUESTION 11 Find the solution of x' + 2x' +x=f(t), x(0)=1, x'(o=0, where f(t) = 1 if t< 2; and f(t) = 0 if t> 2.
3) Using the Method of Variation of Parameter, solve the following linear differential equation y' (1/t) y 3cos (2t), t > 0, and show that y (t) 2 for large t
Please use a two tailed test and a= .05 for all tests One-sample t-test A researcher was interested in examining the effect of exercise on happiness levels among college students. The average college student happiness levels is u = 30. A sample of 5 individuals was selected and asked to exercise for three weeks. And then, they were asked to report their happiness scores. Can he conclude that exercise influences happiness levels ? Happiness 37 32 33 36 32 1)...
Alejandra is using a one-sample t-test to test the null hypothesis Ho: u = 10.0 against the alternative H1: 4 < 10.0 using a simple random sample of size n = 10. She requires her results to be statistically significant at level a = 0.10. Determine the maximum value of t that will reject this null hypothesis. You may find this table of t-critical values useful. If you are using software, you may find this catalog of software guides useful....
1. A random sample of people who work regular 9-5 hours and a random sample of people who work shifts were asked how many hours of sleep they get per day on average. An appropriate F-test was performed and it was found that the null hypothesis of the F-test should be rejected. Can we infer that there is a difference in the number of hours people sleep depending on whether they work 9-5 or shifts? Printout # ?? ??0: ??...