Based on the central limit theorem, the distribution of sample means will be approximately normal when the sample size is large.
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- the central limit theorem informs the numerator of the z-score for the sample means question. True or Falsethe central limit theorem informs the numerator of the z- score for the sample means equation. true or false?suggest a statistical tool given that sample size is 40, and non parametric significant difference between the set of factors identified by the 3rd year management students that would affect their choice of a minor degree and the set of factors identified by the 4th year management students that affected their choice of a minor degree
- An excess of high values for the cases distributed on a graph results in a positive skew in the data?2. What happens when we increase the sample size in the Central Limit Theorem? 3. What is the correlation between the sample and the population in the Central Limit Theorem. Please, mention the two important formulas that correlate?What are the main principles of the Central Limit Theorem (CLT)? Please explain the relationship between the sampling distribution and CLT. Give an example about the application of CLT. (Max 300 words. Only first 300 words will be evaluated)
- If a population of scores is normally distributed and if samples taken from this population have a sample size = 100, the resulting sampling distribution of means willThe approximate costs for a 30-second spot for various cable networks in a random selection of cities are shown below. Estimate the lower boundary of the true population mean cost for a 30-second advertisement on cable network with 90% confidence.is An independent samples t-test is appropriate for measuring differences between a selected sample and a population with a mean that is already known?
- When the sample size is increased, the spread of the sampling distribution for a sample mean (select one) increases does not change none of these decreasesAs the sample size increases, the variability among the sample means increases decreases remains the same depends upon the specific population being sampledthe value used in the equation for the t-test for independent means that approximates the sample size is known as the
