a one sample t test is the appropriate analysis to run when
population is normally distributed or sample size is at least 30 with unknown population standard deviation
and we compare the hypothesized population mean to sample mean for a significant difference,
Is the chi-square test appropriate to run for this analysis
Run a one sample t-test for HGHTI_P to test if the CHIS sample is significantly different from 68(the average height in the U.S.). What can you conclude based on the results of your test (Hint: what does the p-value tell you?)? Do you reject the null hypothesis, or fail to reject the null hypothesis? Does the CHIS sample population have a statistically significant different average height than 68 inches tall?
Which Test those cases should use? A: one sample z-test B: one-sample t-test C: t-test for the difference between means for two related samples D: t-test for the difference between means for two independent samples with homogeneity of variance E: t-test for the difference between means for two independent samples with heterogeneity of variance F: a one sample z-test for proportions (or a chi-square goodness of fit) G: chi-square goodness of fit only (where a one sample z-test of proportions isn’t appropriate) H: a two-sample z-test...
Match each research question below with the appropriate analysis: (independent samples t-test, dependent samples t-test, one-way ANOVA, or Chi-Square analysis). 1. Do cereals with a grade of A have significantly fewer calories per serving compared to those with a grade of B? 2. Is there a significant difference in the number of grams of carbohydrates and grams of protein within specific cereals? 3. Is there a significant difference in the ratings from cereals of different manufacturing brands?? 4. Is there...
Important instructions: For all situations requiring a hypothesis test (z test, one-sample t test, one-sample variance test or two-sample t test), you must 1. Choose the appropriate test based on the information you are given 2. State null and alternative hypotheses 3. Choose a one or two tailed test and explain why you chose that test 4. Calculate the appropriate test statistic, showing all work neatly. This includes calculations of means, standard deviations, etc. 5. Draw the appropriate conclusions (i.e.,...
Important instructions: For all situations requiring a hypothesis test (z test, one-sample t test, one-sample variance test or two-sample t test), you must 1. Choose the appropriate test based on the information you are given 2. State null and alternative hypotheses 3. Choose a one or two tailed test and explain why you chose that test 4. Calculate the appropriate test statistic, showing all work neatly. This includes calculations of means, standard deviations, etc. 5. Draw the appropriate conclusions (i.e.,...
What is the difference between a One sample t-test, Unpooled t-test, Pooled t-test, Paired t-test, and Mann Whitney U test? How do you know when to use each test?
Important instructions: For all situations requiring a hypothesis test (z test, one-sample t test, one-sample variance test or two-sample t test), you must 1. Choose the appropriate test based on the information you are given 2. State null and alternative hypotheses 3. Choose a one or two tailed test and explain why you chose that test 4. Calculate the appropriate test statistic, showing all work neatly. This includes calculations of means, standard deviations, etc. 5. Draw the appropriate conclusions (i.e.,...
Important instructions: For all situations requiring a hypothesis test (z test, one-sample t test, one-sample variance test or two-sample t test), you must 1. Choose the appropriate test based on the information you are given 2. State null and alternative hypotheses 3. Choose a one or two tailed test and explain why you chose that test 4. Calculate the appropriate test statistic, showing all work neatly. This includes calculations of means, standard deviations, etc. 5. Draw the appropriate conclusions (i.e.,...
Important instructions: For all situations requiring a hypothesis test (z test, one-sample t test, one-sample variance test or two-sample t test), you must 1. Choose the appropriate test based on the information you are given 2. State null and alternative hypotheses 3. Choose a one or two tailed test and explain why you chose that test 4. Calculate the appropriate test statistic, showing all work neatly. This includes calculations of means, standard deviations, etc. 5. Draw the appropriate conclusions (i.e.,...