A survey was recently conducted in which males and females were asked whether they owned a laptop personal computer. The following data were observed: Males Females Have Laptop 120 70 No Laptop 50 60 Given this information, if an alpha level of .05 is used, the critical value for testing whether the two variables are independent is x2 = 3.8415. Group of answer choices True False

A survey was recently conducted in which males and females were asked whether they owned a laptop personal computer. The following data were observed: Males Females Have Laptop 120 70 No Laptop 50 60 Given this information, if an alpha level of .05 is used, the critical value for testing whether the two variables are independent is x2 = 3.8415. Group of answer choices True False

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.1: Measures Of Center

Problem 9PPS

See similar textbooks

Similar questions

Airline passengers were asked two questions: #1, In the past year, when traveling for business, what type of ticket did you purchase most often?", and #2, "Was the flight domestic or international?" THe following table presents the results: "Type of Ticket?" "Domestic" "International" "First Class" 29 22 "Business Class" 95 121 "Economy Class" 518 135 If a Test of Independence will be performed on this dataset, with alpha = 0.10, state the value of the Critical Number that you'd use to set up the Rejection Region for this test. The value of the Critical Number to be used in this Test of Independence is:
A sample of men and women who had passed their driver's test either the first time or the second time were surveyed, with the following results: Results of the driving testGender First time Second timeMen 126 211Women 135 178a) Do these data suggest that there is a relationship between gender and the passing of their driver’s test from which the present sample was drawn? Let alpha=.05
A researcher was interested in studying if there is a significant relationship between the severity of COVID 19 and blood types of individuals. 2400 individuals were studied and the results are shown below. Condition Blood Type O A B AB Total Critical 64 44 20 8 136 Severe 175 129 50 15 369 Moderate 211 528 151 125 1015 Mild 200 400 140 140 880 Total 650 1101 361 288 2400 State both the null and alternative, Provide the decision rule for making this Use an alpha level of 5%, Show all of the work necessary to calculate the appropriate, What conclusion are you allowed to draw? Would your conclusion change at the 10% level of significance?
Prior to assessment of the outcome, the researchers did a manipulation check. Members of Groups 1 and 2 rated the attractiveness (on a 1 to 9 scale, with 9 being the most attractive) of the person in the photo. They reported that for the attractive photo, M = 7.53; for the unattractive photo, M = 3.20, F(1, 108) = 184.29. Was this difference statistically significant (using a =.05)? What was the effect size for the difference in (2a)? Was their attempt to manipulate perceived attractiveness successful? Why does the F ratio in (2a) have just df=1 in the numerator?
The owner of a hair salon is curious about the relationship between the amount of hair cut and the amount of money earned by the stylists. At the end of a randomly selected day, she weighed the amount of hair around the chairs of her eight stylists and counted their earnings. Using the data below, an alpha of .05 and a two-tailed test, was there a significant relationship? Pounds of hair Earnings 1 195 10 223 2 150 8 165 4 104 7 130 5 60 6 100 M = 5.38s = 3.02 M = 5.00s = 3.16
Based on a survey of a random sample of 900 adults in the United States, a journalist reports that A random sample of 100 movie goers was asked to state his or her gender and favorite soft drink available at the local movie theater. The results appear in the table below. Is there a relationship between gender and soft drink preference? Coke Diet Coke Sprite Male 23 11 12 Female 16 28 10 To analyze the results, which of the following tests is most appropriate? A)Chi-square test of independence B)Chi-square test of homogeneity C)Two sample t-test D)Matched pair t-test E)Chi-square goodness of fit
A Canadian study measuring depression level in teens (as reported in the Journal of Adolescence, vol. 25, 2002) randomly sampled 112 male teens and 101 female teens, and scored them on a common depression scale (higher score representing more depression). The researchers suspected that the mean depression score for male teens is higher than for female teens, and wanted to check whether data would support this hypothesis. If μ1 and μ2 represent the mean depression score for male teens and female teens respectively, which of the following is an appropriate pair of hypotheses in this case? Check all that apply.
For an independent-measures study using ANOVA with dfbetween = 4 and dfwithin = 18, what value of q is used for Tukey’s HSD formula (assume alpha = .05)? a. 4.28 b. 5.38 c. 4.00 d. Cannot be determined
The National Transportation Safety Board wants to look at the safety of three different sizes of cars. Using the data below, determine the whether the mean pressure applied to the driver`s head during a crash is equal for each type of car at alpha = 0.01 Compact cars Midsize cars Full-size Cars 643 469 484 655 427 456 702 525 402 a) Ho: Ha : b) Decision c) Conclusion
Use the following SPSS output to answer the questions. Use an alpha level of .05: Which variable is the independent variable? Which variable is the dependent variable? What would be the null hypothesis for the chi-square test? What would be the research hypothesis for the chi-square test? Is the chi-square test statistically significant? Should we reject or fail to reject the null hypothesis? What is the appropriate measure of association for this table?
Suppose a researcher is interested inthe effectiveness in a new childhood exercise program implemented in a SRS of schools across a particular county. In order to test the hypothesis that the new program decreases BMI (Kg/m2), the researcher takes a SRS of children from schools where the program is employed and a SRS from schools that do not employ the program and compares the results. Assume the following table represents the SRSs of students and their BMIs. Student intervention group BMI (kg/m2) Student control group BMI (kg/m2) A 18.6 A 21.6 B 18.2 B 18.9 C 19.5 C 19.4 D 18.9 D 22.6 E 24.1 F 23.6 A) Assuming that all the necessary conditions are met (normality, independence, etc.) carry out the appropriate statistical test to determine if the new exercise program is effective. Use an alpha level of 0.05. Do not assume equal variances.B) Construct a 95% confidence interval about your estimate for the average difference in BMI between the groups.
31% of all pygmy softshell tortoises have stripes on their shells. A herpetologist in Cititon collects a sample of 28 pygmy softshell tortoises and finds that 8 of them have stripes on their shells. Is there enough evidence to conclude, at a significance of alpha = 0.05, that the proportion of pygmy softshell tortoises in Cititon with stripes on their shells is less than 31%? What is the claim? What is the null hypothesis? What is the alternative hypothesis? What is the test statistic? What is/are the critical value(s)? Do we reject the null hypothesis? What conclusion do we draw? What is the P-value for the problem above?