Asked by Ikhlas Salih on Jul 02, 2024

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Two independent random samples of sizes Two independent random samples of sizes   and   have been selected from binomial populations with parameters   and   , respectively, and resulted in 38 and 65 success, respectively. Then the standard error of   is estimated as .077. and Two independent random samples of sizes   and   have been selected from binomial populations with parameters   and   , respectively, and resulted in 38 and 65 success, respectively. Then the standard error of   is estimated as .077. have been selected from binomial populations with parameters Two independent random samples of sizes   and   have been selected from binomial populations with parameters   and   , respectively, and resulted in 38 and 65 success, respectively. Then the standard error of   is estimated as .077. and Two independent random samples of sizes   and   have been selected from binomial populations with parameters   and   , respectively, and resulted in 38 and 65 success, respectively. Then the standard error of   is estimated as .077. , respectively, and resulted in 38 and 65 success, respectively. Then the standard error of Two independent random samples of sizes   and   have been selected from binomial populations with parameters   and   , respectively, and resulted in 38 and 65 success, respectively. Then the standard error of   is estimated as .077. is estimated as .077.

Binomial Populations

Groups of individuals or events subjected to a binomial experiment, where outcomes are categorized into two distinct categories.

Independent Random Samples

Groups of randomly selected samples from a population where the selection of an item for one sample does not influence the selection for another sample.

Standard Error

The standard deviation of the sampling distribution of a statistic, most commonly the mean, which provides a measure of its precision.

  • Comprehend and utilize the notion of standard error within the framework of confidence intervals.
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Malachi Woods6 days ago
Final Answer :
True
Explanation :
The standard error of the difference between means formula is SE = sqrt[(s1^2/n1) + (s2^2/n2)], where s1 and s2 are the sample standard deviations, and n1 and n2 are the sample sizes. Given that the standard error of The standard error of the difference between means formula is SE = sqrt[(s1^2/n1) + (s2^2/n2)], where s1 and s2 are the sample standard deviations, and n1 and n2 are the sample sizes. Given that the standard error of   is estimated as .077, we can assume that the formula was used to estimate the standard error. Therefore, the statement is true. is estimated as .077, we can assume that the formula was used to estimate the standard error. Therefore, the statement is true.