## Standard Normal Distribution Table### OverviewThis table is used to find the probability that a statistic is observed below, above, or between values on the standard normal distribution. The table is divided into two pages to provide a detailed lookup for various z-scores.### Explanation of GraphsBoth pages contain a small diagram depicting a standard normal curve (bell-shaped curve). - **Page 1 and Page 2 Diagrams**: - The horizontal axis is labeled with "z," representing z-scores. - The shaded area under the curve indicates the probability associated with a particular z-score. - The arrow labeled "Area" points to the shaded region, illustrating the cumulative probability for z-values up to the marked point.### Standard Normal Distribution Table (Page 1)This page lists cumulative probabilities for z-scores ranging from -3.4 to -0.1.**Table Structure:**- The leftmost column shows z-scores (e.g., -3.4, -3.3, ..., -0.1).- The top row contains decimal place values from 0.00 to 0.09.- For each z-score, the corresponding cumulative probabilities are listed across the row at 0.01 intervals.### Standard Normal Distribution Table (Page 2)This page continues the table, listing cumulative probabilities for z-scores ranging from 0.0 to 3.8.**Table Structure:**- The leftmost column shows z-scores (e.g., 0.0, 0.1, ..., 3.8).- The top row contains decimal place values from 0.00 to 0.09.- For each z-score, the cumulative probabilities are listed across the row at 0.01 intervals.### UsageThese tables are used to determine the percentile rank of a standard normal variable, helpful in various statistical analyses, including hypothesis testing and confidence interval estimation. By finding the intersection of a z-score and its corresponding column value, you can determine the probability of a statistic falling within a certain range. According to a survey in a country, 35% of adults do not own a credit card. Suppose a simple random sample of 700 adults is obtained. Complete parts (a) through (d) below.**(a) Describe the sampling distribution of $ \hat{p} $, the sample proportion of adults who do not own a credit card. Choose the phrase that best describes the shape of the sampling distribution of $ \hat{p} $ below.**- **A.** Approximately normal because $ n \leq 0.05N $ and $ np(1 - p) < 10 $- **B.** Not normal because $ n \leq 0.05N $ and $ np(1 - p) \geq 10 $- **C.** Not normal because $ n \leq 0.05N $ and $ np(1 - p) < 10 $- **D.** Approximately normal because $ n \leq 0.05N $ and $ np(1 - p) \geq 10 $There are no graphs or diagrams in the image. The task involves selecting an option that correctly describes the sampling distribution based on the given conditions related to sample size and the calculated product of $ np(1 - p) $.

(a) The sample size is 700 and proportion is 35%. That is, n=700,p=0.35.

Answered: According to a survey in a country, 35%…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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In a random sample of 500 teenagers 12 to 17 years old, it was found that 330 have regular access to computers and the Internet. Find a point estimate of the true proportion of teenagers 12 to 17 years old who have regular access to computers and the Internet.
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