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10:10 0 x.\" i gcccd.instructure.com Question 25 2.5 p15 For questions 25 to 32 use the following prompt. For this you will perform an independent samples t test. A psychologist is interested in examining the effects of time spent outdoors on differences in the wellrbeing of children. Using a wellebeing scale that ranges from 1 to 80, with higher values indicating a higher sense of weIHJeing, she collects data from two separate groups of children and gathers the following information: Fewer than 12 hours a week More than 12 hours a week outdoors outdoors n : 10 n : 10 M = 70 M = 78 SS : 1.90 55 : 170 What is the degrees of freedom for this study? x, 20 a 113 Question 26 2.5 pts What is the pooled variance spz? i'_i22 iiZO lilo ,' 13 Question 27 2.5 pt; What is the estimated standard error leer ? Question 28 2.5 pts What is the calculated t test statistic? n..__'_-__ nn .. . 7;, 10:10 0 x.\" gcccd.instructure.com D Question 27 2.5 pt; What is the estimated standard error leer ? 112 D Question 28 2.5 pts What is the calculated t test statistic? 3 Question 29 2.5 pt; What is the critical value fort as shown on the t distribution table? U 2.101 12.080 u 2.776 V 2213 D Question 30 2.5 pts What decision do you make about the null hypothesis? in l Reject the null hypothesis i ll Fail to reject null hypothesis 3 Question 31 2.5 p15 What is the calculated estimated Cohen's d? D Question 32 2.5 pts What can you conclude regarding children's well being related to time spent outdoors? (READ CAREFULLY) i__ ,i Children who spend more than 11 hours per week outdoors show signicantly higher levels of well being compared to children who spend less than 12 hours per week outdoors. 10:10 Von 10 LTE LTE gcccd.instructure.com/course 15 G D Question 32 2.5 pts What can you conclude regarding children's well being related to time spent outdoors? (READ CAREFULLY) Children who spend more than 12 hours per week outdoors show significantly higher 28 levels of well being compared to children who spend less than 12 hours per week outdoors. Children who spend less than 12 hours per week outdoors show significantly higher levels of well being compared to children who spend more than 12 hours per week outdoors. There is no significant effect of time spent outdoors on children's well being. Children who spend more than 12 hours per week outdoors show significantly lower levels of well being compared to children who spend less than 12 hours per week outdoors. D Question 33 2.5 pts The result of calculations of two values that represent with 80% certainty that the true population mean is somewhere between those values is an example of which of the following types of effect size? Confidence Interval Cohen's d Cohen's Interval D Question 34 2.5 pts For a population with a mean of M = 100, and a standard deviation of o = 10, what would the Z score be for a score of X = 85? -1.5 1.5 1 -1 D Question 35 2.5 pts What is the best definition for a z score? The distance from the mean in standard deviation units The distance from the mean in variance units A score that is very boring The distance from the mean D Question 36 2.5 pts Which of the following is the most accurate definition of a distribution of sample means? A frequency distribution of all possible sample means that can be obtained given a specific sample size n A frequency distribution A frequency distribution of all possible values for X10-10 0 x.\" E gcccd.in tructure.com Question 35 2.5 pts What is the best denition for a z score? by The distance from the mean in standard deviation units ivi The distance from the mean in \ ariance units L_/l A score that is very boring i ,i The distance from the mean Question 36 2.5 p15 Which of the following is the most accurate denition of a distribution of sample means? 'v' A frequency distribution of all possible sample means that can be obtained given a specic sample size n L) A frequency distribution ,i A frequency distribution of all possible values for X g: A frequency distribution of all possible sample standard deviations that can be obtained given a specic sample size n Question 37 2.5 pts In terms of probability related to a distribution of sample means. why is it that is it more likely for you to obtain a sample mean that is close to the population mean rather than very far away from it? Ll Sample means pile uparound the population mean ivi Sample means pile up far away from the population mean t__' Distribution of sample means are very skewed in l The sample mean is usually an outlier Question 38 2.5 pts When our test statistic is signicant, how is probability used to explain how we make our decisions in hypothesis testing regarding the null hypothesis? (read carefully) i\"; The test statistic we obtained has a very low probability if we assume for the null hypothesis to be true, therefore we reject the null hypothesis. i l The test statistic we obtained has a very high probability if we assume for the null hypothesis to be true. therefore we reject the null hypothesis. K ; Probability is absolutely not something involved in the hypothesis testing procedure. ,i The test statistic we obtained has a very low probability if we assume for the null hypothesis to be true, therefore we fail to reiect the null hypothesis. Question 39 2.5 pts What is truly meant when we say that a result is statistically signicant? in l It is very likely that the result we see in the sample is what we would see in the population 1 ,' We have proven the result to be true in the population L.) We have disproven that the result is true in the population 10:10 1 LTE LTE gcccd.instructure.com/course 15 G D Question 39 2.5 pts What is truly meant when we say that a result is statistically significant? It is very likely that the result we see in the sample is what we would see in the population 28 We have proven the result to be true in the population We have disproven that the result is true in the population It is very unlikely that the result we see in the sample is what we would see in the population D Question 40 4 pts Graphs A and B are the exact same data, but graph A includes a massive outlier, and graph B has that outlier removed. Use these graphs and information on each to answer the following question. Graph A: r = .80, p