In a two tailed test when a Null Hypothesis is rejected for a True Alternative Hypothesis then it has ____________

In a two tailed test when a Null Hypothesis is rejected for a True Alternative Hypothesis then it has ____________ Correct Answer No error

In Testing of Hypothesis Type 1 error occurs when we reject a true Null Hypothesis. On the contrary a Type 2 error occurs when we accept a false Null Hypothesis. Hence if the Alternative Hypothesis is true and Null Hypothesis is rejected then no error occurs.
Probability and Statistics Testing of Hypothesis Concerning Single Population Mean
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বিসিএস, ব্যাংক, প্রাইমারি সহ সরকারি বেসরকারি চাকুরীর পরীক্ষার প্রস্তুতির জন্য ডাউনলোড করুন Bissoy অ্যাপ

Related MCQ's

Statement I When a null hypothesis is true but as per the hypothesis testing, it is rejected; it is known as Type II error in hypothesis testing.
Statement II For testing the significance of the differences among the performance of more than two sample groups when the data are non-parametric, Kruskal-Wallis (H) test is appropriate.

Consider the following statement and identify the wrong statements.
Statement I: Accepting null hypothesis, when it is false, is called a level of significance.
Statement II: $$1 - \alpha $$  is called power of a test.
Statement III: Critical value of $$Z$$ - static for two-tailed test at 5% level of significance is 1.96.

Statement I: If the alternative hypothesis is as $$\mu \ne {\mu _0}$$  ; a researcher requires two-tailed test in hypothesis-testing.
Statement II: The mean of the sampling distribution of mean is not equal to the parametric value of mean.

In a medical test, where the null hypothesis is 'the patient does not have the disease' and the alternative hypothesis is 'the patient has the disease'. Suppose a patient has a disease and needs treatment. In the hypothesis testing process, which of the following error is more serious than the others.

While performing a two-tailed test for the difference between means, with a null hypothesis of μ1 = μ2 the hypothesised differences between the two population means would be

Statement I A hypothesis test for comparing the variances of two independent populations with the help of variances of two small samples is known as chi-square test.
Statement II To test the hypothesis that the population standard deviation has a specific value on the basis of the values of sample standard deviation of small sized sample, F-test isrelevant.

Bayes Theorem is given by where
1. P(H) is the probability of hypothesis H being true.
2. P(E) is the probability of the evidence(regardless of the hypothesis).
3. P(E|H) is the probability of the evidence given that hypothesis is true.
4. P(H|E) is the probability of the hypothesis given that the evidence is there.

Point out the error (if any) in the following C code?
#include <stdlib.h>#include <stdio.h>int main(void){ int* p = NULL; struct S *s = NULL; void(*f)(int, double) = NULL; char *ptr = malloc(15); if (ptr == NULL) printf("Out of memory"); free(ptr);}

One-fifth of the batteries produced by an upstart factory are defective and one -quarter of all batteries produced are rejected by the quality control technician. If one-tenth of the non-defective batteries are rejected by mistake and if all the batteries not rejected are sold, then what percent of the batteries sold by the factory are defective?

Which of the following statement is true with regard to hypothesis testing of null and alternative hypothesis?

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