For each problem, select the best response.
(a) Chi-square tests are most appropriate for data that
A. have small standard deviations.
B. are normally distributed.
C. have rounding errors.
D. can be averaged.
E. are categorical.
(b) A ?2 statistic provides persuasive evidence against the null
hypothesis if its value is
A. a large negative number.
B. close to 0.
C. close to 1.
D. a large positive number.
E. 1.96
(c) A study was performed to examine the personal goals of
children in grades 4, 5 and 6. A random sample of students was
selected from grades 4, 5 and 6 from schools in Idaho. The students
received a questionnaire regarding achieving personal goals. They
were asked what they would most like to do at school: make good
grades, be good at sports, or be popular. Each student's gender was
also recorded. Which hypotheses are being tested by the chi-square
test?
A. The null hypothesis is that there is no
relationship between personal goals and gender, and the alternative
is that there is some relationship.
B. The null hypothesis is that there is no
relationship between personal goals and gender, and the alternative
is that there is a positive relationship.
C. The null hypothesis is that the mean personal
goal is the same for boys and girls, and the alternative is that
the means differ.
D. The distribution of gender is different for the
three personal goals.
E. None of the above.
a ) Chi-square tests are most appropriate for data that
E. are categorical.
b ) A
statistic provides persuasive evidence against the null hypothesis
if its value is
D. a large positive number.
c ) A. The null hypothesis is that there is no relationship between personal goals and gender, and the alternative is that there is some relationship.
For each problem, select the best response. (a) Chi-square tests are most appropriate for data that...
(2 points) For each problem, select the best response. (a) A study was performed to examine the personal goals of children in grades 4, 5 and 6. A random sample of students was selected from grades 4, 5 and 6 from schools in Idaho. The students received a questionnaire regarding achieving personal goals. They were asked what they would most like to do at school: make good grades, be good at sports, or be popular. Each student's gender was also...
(a) A study was performed to examine the personal goals of children in grades 4, 5 and 6. A random sample of students was selected from grades 4, 5 and 6 from schools in Idaho. The students received a questionnaire regarding achieving personal goals. They were asked what they would most like to do at school: make good grades, be good at sports, or be popular. Each student's gonder was also recorded. Which hypotheses are being tested by the chi-square...
A study examines the personal goals of children in grades 4, 5, and 6. A random sample of students was selected for each of the grades 4, 5, and 6 from schools in Georgia. The students received a questionnaire regarding achievement of personal goals. They were asked what they would most like to do at school: make good grades, be good at sports, or be popular. Results are presented in the following table by the sex of the child. Boys...
Value: 2 For many students, calculating the chi square value is the most challenging part of conducting a chi square test so it is important to practice. Consider the following information An F1 tall, round seed pea plant is crossed with a dwarf, wrinkled seed pea plant. The following offspring are observed: Tall, round: 510 Tall, wrinkled: 495 Dwarf, round: 490 Dwarf, wrinkled: 505 a. What is the expected phenotype ratio? ## or ####, depending on what you think the...
-If the value of chi-square is large and cannot be accounted for based on sampling error, the researcher should: fail to reject the null hypothesis reject the null hypothesis determine the degrees of freedom in the study observe the chi-square in the common zone. -If %Expected = 19 and N = 33, what is the value of fExpected? 6.08 0.63 6.27 5.7 -A psychology professor is studying whether a significant difference exists in the majors among students in her general...
1. These questions pertain to Table 1.
a. How many chi-square tests of independence are performed? What
are each of the bivariable associations tested [list 2
pairs of associations]?
b. Which of the relationships are significant?
c. In everyday language, describe what is shown about the
relationship between age and type of drinking (light/moderate)
among all students? Among drinkers only?
d. How many degrees of freedom are there in the analysis of
religion by type of drinker among all students?...
(6 points) For each problem, select the best response. (a) In testing hypotheses, which of the following would be strong evidence against the null hypothesis? A. Obtaining data with a large P-value. B. Using a small level of significance. C. Using a large level of significance. D. Obtaining data with a small P-value. (b) In formulating hypotheses for a statistical test of significance, the null hypothesis is often A. a statement of "no effect" or "no difference". B. the probability...
Assignment 3 Winter 2020 You will have a chance to analyze taxic response data using observational data from Planeria. You will use Pearson's chi square test which allows you to determine whether your planario are showing a taxic response to environmental variables. Pearson's chi-squared test is a statistical test applied to sets of categorical data to evaluate how likely it is that any observed difference between the sets arose by chance. It is the most widely used of many chi-squared...
use problem above to answer
Complete the following chi-square problems. (Show all work!!) In the cross AaBb x AaBb O-E (O-E) (O-E)?/E 311 105 1. Phenotype A-B- A-bb aaB- aabb Totals 25 calculated X2= mith, Beatty and Ware 7/14 revised by for Fall 2015, BIOL 251 Genetics Lab Manual, Benedictine Univ page 3 a. What are your null and alternative hypotheses? b. How many degrees of freedom? c. What is your table X2 value? d. What is your region of...
Q2) Chi-Square Test for Goodness of Fit (10 points) A high school physics teacher wondered if his students in the senior class this year will be more likely to go into STEM (Science, Technology, Engineering, Mathematics) majors than Social Science and Liberal Arts majors. He asked each of his 50 students about their first choice for major on their college applications and conducted a Chi-square test for goodness of fit with an alpha level of .05 to see if the...