Week 10 Reflections_Annisa Ardiani

Please help me figure out this question

Is there a relationship between one’s gender and whether one owns a dog, cat, or reptile? Use the data provided in the table below to answer the following question. -Show all the relevant statistical output How do I enter this data in SPSS and which test do I run? I input one column for each level but I am so confused and my output is weird looking. Do I run the One Way ANOVA in order to be able to calculate the effect size?      Dog Cat Reptile Row Totals Male 20 17 11 48 Female 25 23 5 53 Column totals 45 40 16 101

A recent article in the Skyline College newspaper stats that that 51% of college students work full-time. You obtain a random sample of 235 Skyline College students and 143 of them work full-time. Test the newspaper's claim at the 0.05 significance level Ho:p = 0.51 Ha:p + 0.51 What is the test statistic? (Report answer accurate to four decimal places.) test statistic = What is the p-value? (Report answer accurate to four decimal places.) p-value : %3D

It is vitally important that using the right quantitative instrument is vital to the efficacy and validity of one’s research Why and when would you want to use ANOVA in marketing research? Give a specific applied example. Why and how would you use Chi-square and t-tests in hypothesis testing? Give applied specific examples of each

A researcher is implementing an intervention where parents are taught advocacy skills.  Fifteen parents are participating in the study and 15 parents are members of the control group. All 30 parents complete an empowerment scale, which is measured on a multi-item Likert scale.  The researchers want to determine if there is a difference between the two groups of parents (intervention, control) on their empowerment score.  What type of statistical test should be used?   Group of answer choices Independent t-test Dependent t-test Chi Square ANOVA Correlation Analysis

The data provided in the following table pertains to three separate questions: One sample T-test, Two Sample T-Test, and ANOVA. The same data is also provided in Microsoft Excel file. Answer the questions provided in the table. Report your results by comparing the significance level to 5%. Additionally, state your conclusion clearly in terms of whether the null hypothesis is rejected or not rejected. Avoid using terms like "accepted" or "not accepted" in your conclusion. Question 1: A retail store manager claims that the average daily sales of the store are $1,500. You aim to test whether the actual average daily sales differ significantly from this claimed value.  (2 points = 0.25x4 parts) Make null and alternative hypothesis for one sample T-test     Conduct One Sample T Test and provide a snapshot of results from excel. Null = Alternative = Conclusion: Since the p value is (choose one: less / greater) than 5%,

Module 6 Hypothesis Testing Name Course and Year Exercise 6.1, 1. Suppose you are testing Ho = .45 versus Ha >.45 random sample of 310 people produces a value of p = .465. Use= .05 to test this hypothesis. 2. Instructions: Five - step Hypothesis Testing Procedure Used: A criminologist was interested whether there was disparity in sentencing based on the race of the defendant. She selected at random 18 burglary convictions and compared the prison terms given to the 10 whites and 8 blacks sampled. The sentenced length s (in years) are shown for the white and blacks offenders. Using the data, test the null hypothesis that white and blacks convicted burglary in this jurisdiction do not differ with respect prison sentence length. Black 8735 4 3547 5 5 6 4 3 2 4 54 White Note: Follow all the steps and use two decimal places, round off if possible. Analysis of Variance (ANOVA) Exercise 6.2. 1. Compute a one - way ANOVA on the following data. Use .05 level of significance 3 1 3 3 4 1 3. 6. 3 5…

Please help, have no idea how to do this

We use the results of our first step to calculate a test-statistic. Why is this important and how does it relate to the concept of z-score, What is a p-value? What role does it play in the rejection of the null hypothesis? What does it mean to reject the null hypothesis? Does that guarantee that the null hypothesis is false?