In a certain school district, it was observed that 25% of the students in the element schools were classified as only children (no siblings). However, in the special program for talented and gifted children, 128 out of 407 students are only children. The school district administrators want to know if the proportion of only children in the special program is significantly different from the proportion for the school district. Test at the a = 0.01 level of significance.
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
P=
z=
p-value =
![In a certain school district, it was observed that 25% of the students in the element schools were classified as
only children (no siblings). However, in the special program for talented and gifted children, 128 out of 407
students are only children. The school district administrators want to know if the proportion of only children
in the special program is significantly different from the proportion for the school district. Test at the
:0.01 level of significance.
α
What is the hypothesized population proportion for this test?
(Report answer as a decimal accurate to 2 decimal places. Do not report using the percent symbol.)
Based on the statement of this problem, how many tails would this hypothesis test have?
one-tailed test
two-tailed test
Choose the correct pair of hypotheses for this situation:
Но:р %3D 0.25 | Но:р 3 0.25 | Но :р %3D 0.25
На :р < 0.25||На:р+ 0.25 |На:р > 0.25
Но:р 3 0.314 |Но:р — 0.314 | Но:р — 0.314
Ha:p < 0.314| Ha:p + 0.314 Ha:p > 0.314
(A) (B) (C)
(D) (E) (F)
(A) (B) (C) (D) (E) (F)
Using the normal approximation for the binomial distribution (without the continuity correction), was is the
test statistic for this sample based on the sample proportion?
= Z
(Report answer as a decimal accurate to 3 decimal places.)
You are now ready to calculate the P-value for this sample.
P-value =](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F4adca0a7-54cd-45f6-bf8d-3920200fbf67%2Fa26fb78e-b8b4-40f1-b3f6-3025b68fa703%2Fisn9eu_processed.jpeg&w=3840&q=75)
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