In two consecutive years, a large corporation bought two failing electronics sto

Question

In two consecutive years, a large corporation bought two failing electronics stores, store A and store B. The stores kept their original names and customers can purchase products form a mixture of recent purchases from the two websites, the distribution of the amounts purchased will be bimodel Use this information to complete parts(a) and (b) As the sample size increases, what is the expected shape of the distribution of amounts purchased in sample? As the sample size increases, the sample distribution of amounts purchased will skew to the right As the sample size increases, the sample distribution of amounts purchased will look more and more like the population distribution bimodal As the sample size increases, the sample distribution of amounts purchased will skew to the left As the sample size increases, the sample distribution of amounts purchased will lock more and more like the Normal distribution As the sample size increases. what is the expected shape of the sampling model for the mean amount purchased of the sample? As the sample size increases, the expected shape of the sampling model for the mean will be Normal As the sample size increases, the expected shape of the sampling model for the mean will skew to the right As the sample size increases, the expected shape of the sampling model the mean will skew the left As the sample size increases, the expected shape of the sampling model for to bimodal for the mean will also be bimodel

Explanation / Answer

Sampling Distribution :

The sampling distribution is a distribution of a sample statistic. It is a model of a distribution of scores, like the population distribution, except that the scores are not raw scores, but statistics.

Bi model Distribution : Bimodal distribution showing two normal distribution curves combined, to show peaks.

Central Limit Theorem : The central limit theorem is a statistical theory that states that given a sufficiently large sample size from a population with a finite level of variance, the mean of all samples from the same population will be approximately equal to the mean of the population. Furthermore, all of the samples will follow an approximate normal distribution pattern, with all variances being approximately equal to the variance of the population divided by each sample's size.

Solution : D

Because when bimodal distribution been created with sample amount. The amount of sample increses the mean and variances may vary and falls on same normal distribution curve.

If sample size goes on increases, the central limit theorem states that the sampling distribution of the mean of any independent, random will be normal or nearly normal.

Answer : A

In bi modal distribution, the sample data goes on increases, the sampling mode usually falls as normal and becomes normal distribution.

Related Questions

Navigate

• Browse (All)
• Browse I
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.