Statistical tests to analyze the data
Q: The standard error measures: the variability in the population the variability of sample statistics…
A: Our aim is to find the correct option about the standard error. As per our guidelines , we can solve…
Q: Describe the history of statistics & which statistical method most popular ? (Data Analysis…
A: Statistics involves collecting, analyzing and interpreting the data.
Q: The average (mean) aptitude score: The median aptitude score:
A:
Q: Briefly explain following terms: Hypothesis, Type-I Error, Type-II Error, Test Statistic, Critical…
A: Hypothesis : Hypothesis is a assumption or an statement so that it can be tested to see if it…
Q: What would you use to determine whether significant differences exist between all levels of your…
A: We have to choose correct option. Which is best to determine whether significant differences exist…
Q: Type of variable where the data gathered are non-numeric in nature. categorical data statistic O…
A: Solution : Data could be classified into two types 1) Quantitaitive data. 2) Categorical data (…
Q: 3. The standard error measures: the variability in the population the variability of population…
A: 3. It is been asked to find the correct option that is measured by standard error.
Q: confidence inferval for the actual percentage of students who want to pursue a college course.…
A: here from given n = sample size = 600 x= no of student expressed interest to purchase a college…
Q: Understanding the Concepts and Skills Explain two ways in which descriptive statistics and…
A: From the given information, Descriptive statistics: Descriptive statistics is the method of…
Q: As practiced by many in buying skirts or pants, they use the neckline to check if the waistline of…
A:
Q: Test H0 that the population mean wage rate is $32/hr, at a 5% significance level. Show your work,…
A: It is required to test whether the population wage rate is equal to $32/hr or not. So, the…
Q: Explain the term variability (this is not asking for a definition).
A: Here we want to explain Variability.
Q: Understanding the Concepts and Skills Identify some methods used in descriptive statistics.
A: From the given information, Descriptive statistics: Descriptive statistics is the method of…
Q: 'hat are the two major types of statistics? Describe them in detail. elect the two major types of…
A: In this case, we need to identify the two major types of statistics.
Q: DESCRIPTIVE STATISTICAL MEASURES
A: mode variance median quartile decile
Q: ample question of descriptive statistics
A: Descriptive statistics involves various methods of collection of data as well as the summarization…
Q: How to analyze descriptive statistics using excel in the book An Introduction to Statistics u
A: Given information: The procedure for finding descriptive statistics using EXCEL is required.
Q: Estimating the
A: Given infinite series is: ∑k=1∞6k4 We have to find the estimated sum of first 35 terms of the given…
Q: True or False: For both AIC and BIC (two statistics we often use to compare model fit), the model…
A: Solution: AIC ( Akaike's Information Criteria ) and BIC ( Bayesian Information Criteria ) are the…
Q: Identifying a Model and R2 Different samples are collected, and each sample consists of IQ scores of…
A: In the study, the sample data are collected from the IQ scores of 25 statistics students. The…
Q: Aptitude Score 0 1 2 3 4 5 Frequency 2 3 2 3 1 3 The average (mean) aptitude score: The median…
A: The mean of attitude score is 2.5 and it is obtained below: Attitude score (x)012345Frequency…
Q: Measure of variation is. median varance mode All
A: Measure of variation is which measures the spread of distribution such as range and variance…
Q: d. Coefficient of correlation means: Interpret the coefficient of correlation using this table.…
A: d. From the part b, the correlation value is r=0.4018. Here, the correlation value is positive and…
Q: True or false. Using inferential statistics, it is commonly possible to say that you have 100%…
A: Inferential statistics: In inferential statistics, the data is collected from a sample and then…
Q: test statistic of z = -1.74
A: Critical values are: 1.64,-1.64 Since, alpha is 0.10
Q: Using the data below: How do we create a bivariate analysis?
A: Introduction - Bivariate analysis- Bivariate analysis means the analysis of data . It is one of the…
Q: Explain the procedures used to measure reliability and validity of data
A:
Q: Analysis: Given the context of the data in the table, what issue can be addressed by conducting a…
A:
Q: Summarize all the contents about first step of Statistics “The Collection of Data” and Explain…
A: An enquiry means searching for knowledge or truth. A statistical enquiry means searching for…
Q: The entering SAT scores and high school GPA’s of 100 first-year students and their grade point…
A: The entering SAT scores and high school GPA’s of 100 first-year students and their grade point…
Q: In point estimation a. data from the sample is used to estimate the population parameter O b. the…
A: This is used to estimate a parameter (say mean) of a population by taking data from samples.
Q: Measuring the gadgets Usage of children at Home during quarantine Statistical Test/s: Explanation:
A: Measuring the gadgets usage of children at home during quarantine. Appropriate statistical test:…
Q: Me
A: ∑n=9∞ 1n13-2 comparing with ∑n=9∞ 1n13limn→∞ anbn = limn→∞ n13n13-2= limn→∞ 11-2n3= 1lim > 0…
Q: Understanding the Concepts and Skills What are the two major types of statistics? Describe them in…
A:
Q: Properties of scaling. Suppose that you want to experience measured in months rather than years )…
A: Q
Q: Analysis of data always involves use of samples that may or may not be randomly selected from the…
A:
Q: Descriptive Statistics are used to describe the sample of summarize information about the sample.…
A: Given: Descriptive Statistics are used to describe the sample of summarize information about the…
Q: True or False? The test statistic for a sign test is always the smaller of the number of positive or…
A: Solution: Sign test is a non-parametric test that is used to test the median of the population.…
Q: Test Score Frequency 3\ 4. 6. 7. 6. 10 The mean score on this test is: The median score on this test…
A: Solution: x(1) Frequency (f)(2) f⋅x(3)=(2)×(1) cf(5) 3 2 6 2 4 3 12 5 5 7 35 12 6 1 6 13…
Q: Sample mean is always an estimator of the population mean, thus we use the degrees of freedom to…
A: Sample mean: It is the sum of the observations divided by the total number of observations of the…
Q: Obtain the descriptive statistics for each type of fertilizer.
A: Given data: L1 L2 L3 L4 L5 P1 63.3 55.8 62.9 63.8 70.9 P2 62.3 68.7 67.8 66.2 75.4 P3…
Q: est Score Frequency 3 0 4 2 5 1 6 1 7 4 8 1 9 1 10 4 The mean score on this test is: The median…
A:
Q: Using this information to conduct a hypothesis test to investigate if introducing a loyalty program…
A:
Q: Test Score Frequency 3 4 4 1 5 2 6 4 7 4 8 3 9 1 10 5 The mean score on this test is: The median…
A: Solution: Consider the given data is Test Score(c)Frequency(f)34415264748391105 Now calculate cf…
Q: haracteristics of the Mean What are the strengths and weaknesses of the mean (average) as the…
A: In statistics, three measures of central tendency are widely used. These three measures are also…
Statistical tests to analyze the data
Step by step
Solved in 2 steps with 1 images
- What is an experiment?A psychological study wants to analyze the relationship between anxiety and binge drinking; a questionnaire for anxiety and questionnaire for binge drinking is administered to each subject. What would be a good statistical test to test the hypothesis?A recent study randomly selected women from various countries around the world and collected information about diet and health. The women who at a Paleo diet had lower rates of Osteoporosis when compared to the other women in the study. A. Which is the explanatory variable and why. B. Which is the response variable and why. C. Write a conclusion appropriate for this type of study that describes the relationship between the explanatory and response variables.
- A researcher conducts an independent-measures study to examine how the brain chemical serotonin is related to aggression. One sample of rats serves as a control group and receives a placebo that does not affect normal levels of serotonin. A second sample of rats, low serotonin group, receives a drug that lowers brain levels of serotonin. Then, the researcher tests the animals by recording the number of aggressive responses each of the rats display. See the data below. Is there a significant difference between the control group and the low serotonin group regarding the number of aggressive responses? Control Low Serotonin n = 10 n = 15 M = 14 M = 19 SS = 180.5 SS = 130 Perform a hypothesis test using independent-measures t-test. Use a two-tailed…A researcher conducts an independent-measures study to examine how the brain chemical serotonin is related to aggression. One sample of rats serves as a control group and receives a placebo that does not affect normal levels of serotonin. A second sample of rats, low serotonin group, receives a drug that lowers brain levels of serotonin. Then, the researcher tests the animals by recording the number of aggressive responses each of the rats display. See the data below. Is there a significant difference between the control group and the low serotonin group regarding the number of aggressive responses? Control Low Serotonin n = 10 n = 15 M = 14 M = 19 SS = 180.5 SS = 130 Perform a hypothesis test using independent-measures t-test. Use a two-tailed…A researcher conducts an independent-measures study to examine how the brain chemical serotonin is related to aggression. One sample of rats serves as a control group and receives a placebo that does not affect normal levels of serotonin. A second sample of rats, low serotonin group, receives a drug that lowers brain levels of serotonin. Then, the researcher tests the animals by recording the number of aggressive responses each of the rats display. See the data below. Is there a significant difference between the control group and the low serotonin group regarding the number of aggressive responses? Control Low Serotonin n = 10 n = 15 M = 14 M = 19 SS = 180.5 SS = 130 Perform a hypothesis test using independent-measures t-test. Use a two-tailed…
- Dr. Ngo would like to know whether there is a relationship between the number of minutes per day that a person spends in prayer or quiet meditation and the degree of conflict that they have in their interpersonal relationships. He asks participants to complete an assessment of interpersonal conflict, with scores ranging from 1 (very low interpersonal conflict) to 50 (very high interpersonal conflict). He collects data from a random sample of 10 participants. The data is as follows: Participant Minutes in Prayer/Meditation Conflict in Relationships 1 3 25 2 30 14 3 0 29 4 23 21 5 5 32 6 16 6 7 0 43 8 18 12 9 7 37 10 27 19 Using SPSS, conduct the appropriate analysis. Interpret and report the results of your analysis in APA style.A research team wants to investigate the usefulness of relaxation training for reducing levels of anxiety in individuals experiencing stress. They identify 34 people at random from a group of 100 who have "high stress" jobs. The 34 people are randomly divided into two groups. One group acts as the control group and receive no training. The second group of 17 receive the relaxation training. The subjects in each group are then given an anxiety inventory. The summarized results appear below where higher scores indicate greater anxiety. Control Group: n = 17, mean = 31, standard deviation = 6.63Relaxation Group: n = 17, mean = 26, standard deviation = 6.20 A: What type of test should you conduct? One-sample t test, Independent 2-sample t test, Paired sample t test?B. Should you reject or retain the null hypothesis using an alpha level of 0.05 (two tailed test)?C: Construct a 68% confidence interval around the anticipated difference.D: Calculate a Cohen’s d effect size value.A research team wants to investigate the usefulness of relaxation training for reducing levels of anxiety in individuals experiencing stress. They identify 34 people at random from a group of 100 who have "high stress" jobs. The 34 people are randomly divided into two groups. One group acts as the control group and receive no training. The second group of 17 receive the relaxation training. The subjects in each group are then given an anxiety inventory. The summarized results appear below where higher scores indicate greater anxiety.Control Group: n = 17, mean = 31, standard deviation = 6.63Relaxation Group: n = 17, mean = 26, standard deviation = 6.20
- Recent research indicates that the effectiveness of anti-depressant medication is directly related to the severity of the depression (Khan, Brodhead. Kolts, and Brown, 2005). Based on pre-treatment dcprcssion scores, paticnts werc divlded into four groups based on their level of depi ession. After receiving the antidepression medication, depi ession scores were measured again and the amount of improvement was recorded for cach pcrsion. The following data are similar to the results of the study. Moderately High Moderate Moderate Low Severe Severe 4 5 N= 16 2 3 6 6 G= 48 +a 2 2. 2 6 ΣΧ- 2 4 M=2.5 M=2 M=4 M-5 T= 10 T= 8 T= 16 T=20 SS=. .. SS=2 SS=8 SS- 6 A, Complete the places marking by ... and answer the question whether the data indicate significant difference among the four levels of severity? Test with a= 0.05. B, Compute n', the percentage of variance expressed by group difference.Researchers interested in the effects of caffeine on anxiety have randomly assigned participants to one of two conditions in a study, the no caffeine condition or the caffeine condition. After drinking two cups of either regular or decaffeinated coffee, participants will take an anxiety inventory a. What is the independent variable in this study? b. What is the dependent variable in this study? c. Identify the control and experimental groups in this study. d. Is the independent variable manipulated or a participant variable?A clinician was interested in exploring functionality in patients following a stroke rehabilitation program. Participants were recruited through the rehabilitation unit at Providence Care Hospital. Functional status was evaluated at baseline (immediately following stroke), and 8 weeks later. Patients’ functional outcomes were rated on the following 5-point scale: 1 – poor, 2- fair, 3 – moderate, 4 -good, 5 – excellent. The clinician wants to know whether patients improved their functioning over the 8-week period. 1. Under the heading “Results” present your findings (i.e., what you found).Include at least one measure of central tendency and variability. An assumption check(describe what you did and what you found, as needed), check for potential outliers,and present the findings of your inferential test (i.e., your critical value and p value), asappropriate. Patient Baseline Functional Status (1 to 5) 8 week follow up functional status (1 to 5) 1 4 3 2 1 2 3 3 3 4 5 4 5 4 1…