The mean housing price for an area is $135,000 with a standard of $45,000 but is not normally distributed. According to the Central Limit Theorem what would we need to make sure is true about our sample in order to use normal distribution

A sample size greater than 30

Step-by-step explanation: The central limit theorem proffers the conditions necessary to obtain a normal or bell shaped distribution. It defines normal distribution in terms of mean, standard deviation and sample size. The sample size is a very important factor in determining the shape of a distribution.

Thus with a population having mean and standard deviation stated, in other to make use of or assume normal distribution, the sample size must be large. According tho the central limit theorem, a size of greater than 30 is deemed to be large enough. As the Same size increases, the sample mean converges to the value of the population mean.

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Step-by-step explanation:

We see that MP and PL are congruent, as are MQ and QN. Using scale factors, we can conclude that the scale factor from MP to ML is 1:2.

Based on SAS similarity, MPQ and MLN are similar, so their sides are proportional.