G036 * Yes because the p-value is less than 0.05 or No, because the p-value is greater than 0.05 * The coefficient of variation is the standard deviation of a data set, divided by the mean of the same data set. * Z score = x -ms * The Independent part is what you, the experimenter, changes or enacts in order to do your experiment. The dependent variable is what changes when the independent variable changes - the dependent variable depends on the outcome of the independent variable. * P=000=P<0.001 * Repeated measure = A repeated measures design is a longitudinal study, usually a controlled experiment but sometimes an observational study * We can be 95% confident that on average shoppers at CyberChic …show more content…
Binomial Test. A study was conducted to explore whether Kayden Real Estate rent more than 35% of their rental properties to families. In a random sample of 70 rental properties, only 24% were rented to families. This is less than the target set by the government authority (35%) and a Binomial test shows that the difference is significant, n = 70, p = 0.037. The 95% confidence interval indicates that between 14% and 34% of Kayden rental properties are rented to families Contrary to the claims made by Kayden, less than 35% of their properties are rented to families. According to a web advertising company, the impact of pop up ads depends on age. A random sample of 60 web surfers are asked if they remember a specific internet ad. The age of each respondent is recorded as ‘teenager’, ‘young adult’ or ‘over 30’. What analysis would you use to test the hypothesis that teenagers are more likely to remember the pop up ad than young adults or people over 30? Test: Chi-squared test Jane, who works for Universal Bank, wants to know which credit card to recommend to her customers. She believes that VIZER credit card customers probably get more bonus points than customers of AustralianExpress credit cards. She records the number of bonus points awarded to a random sample of customers of each card. What analysis would you use to test the
So, we should reject the null hypothesis H0. At a 0.05 level of significance level, we conclude that there is a significant difference between the average height for females and the average height for the males.
There are several parts to the experiment such as both the independent and dependent variables. The independent variable is controlled or changed during the experiment to test the effects on the dependent variable. The dependent variable is tested and measured during the test .A controlled variable is an example for an independent variable would be variable that is held constant throughout the experiment. An example is a theory that could extend a person’s life expectancy. The independent variable is the amount of vitamin given to the subject within the experiment. The dependent variable is the life span
2) Compute the standard deviation for each of the four samples. Does the assumption of .21 for the population standard deviation appear reasonable?
· How were measures of variation used in the study? What conclusions can you draw based on the variation?
The coefficient of variation (CV) represents a percentage of standard deviation to the mean and can be calculated by dividing the standard deviation calculated using Equation 2 by the expected value. The equation can be calculated by:
Dependent variables are ones that change due to the independent variable. Independent variables are variables that can be manipulated or measured. This influences the dependent variables.
Part 1. Using the sample data, perform the hypothesis test for each of the above situations in order to see if there is evidence to support your manager’s belief in each case a.-d. In each case use the Seven Elements of a Test of Hypothesis, in Section 6.2 of your text book with α =
At one school, the average amount of time that tenth-graders spend watching television each week is 18.4 hours. The principal introduces a campaign to encourage the students to watch less television. One year later, the principal wants to perform a hypothesis test to determine whether the average amount of time spent watching television per week has decreased. Formulate the null and alternative hypotheses for the study described.
When we look around us, we may not recognize that statistics is all around. Before I began to take this course “Statistics for Managers” I was not aware of how statistics actually worked. The first idea that came to my mind about statistics was probability. Not knowing statistics and probability are related because they both determine a possible outcome. Throughout this course I have learned what statistics is and how it works. In this paper, I will describe descriptive and inferential statistics, hypothesis developing and testing, the selection of statistical tests, and how to evaluate statistical results in analyzing data.
all-poor or all-wealth neighborhoods increased from 15% to 34%. The reason for all of this
Yes. The number of subjects were close, 30 vs 33. The SD of the experimental group was on 0.58% higher than the control group while the mean was only 1.84% higher. Neither of these differences is significant.
• Alternative Hypothesis Ha: µ ≥ 50,000, this means the test is a one tailed z test.
University of Phoenix OnlineCourse: RES / 341Final Exam(Chapters 9+17 from Applied Statistics in Business and Economics )SOLUTIONPlease mark one answer for all multiple choice questions with RED!Chapter 91. In hypothesis testing, Type I error isA) always equal to 5 percent.
Within-subjects ANOVA factor factor is “sometimes referred to as a repeated-measures factor since repeated measurements are taken on each subject.”( D.M. Lane, M. Hebl, D. Osherson, and H. Ziemer, 2013). It involves comparing the same subjects under different conditions and the test shows if the data varies over a certain period of time.
These represent the range of the sale price. Lastly, I used the formula to get the standard deviation 48,945.28, which measures the variability.