/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q9 Hybridization Experiment In one ... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Hybridization Experiment In one of Mendel’s experiments with plants, 1064 offspring consisted of 787 plants with long stems. According to Mendel’s theory, 3/4 of the offspring plants should have long stems. Assuming that Mendel’s proportion of 3/4 is correct, find the probability of getting 787 or fewer plants with long stems among 1064 offspring plants. Based on the result, is 787 offspring plants with long stems significantly low? What does the result imply about Mendel’s claimed proportion of 3/4?

Short Answer

Expert verified

The probability of 787 or fewer offspring plants with long stems is approximately equal to 0.2296.

The result of 787 plants with long stems is not significantly low as the probability value is high (not less than 0.05).

There is not enough evidence to suggest that the proportion of plants with long stems, as proposed by Mendel (0.75), is incorrect.

Step by step solution

01

Given information

A sample of 1064 offspring is considered, out of which 787 plants have long stems. The proportion of offspring plants with long stems is given to be equal to34

02

Requirements

Let X (number of successes) denote the number of offspring plants with long stems.

The probability of success is given to be equal to:

p=34=0.75

The number of trials (n) is equal to 1064.

Here, the sample is a result of 1064 independent trials with a probability of success at each trial equal to 0.75.

Also,

np=1064×0.75=798>5

nq=n(1-p)=1064×(1-0.75)=266>5

Since the above two requirements are met, the normal distribution can be used for approximating the binomial distribution.

03

Continuity correction

It is required to compute the probability of 787 or fewer offspring plants with long stems.

Thus, the interval of continuity correction is computed below:

x-0.5,x+0.5=787-0.5,787+0.5=786.5,787.5

In terms of the bound of the continuity correction interval, the following probability needs to be computed:

Px<upperbound=Px<787.5

04

Conversion of sample value to z-score

The sample value equal to x=787.5 is converted to a z-score as follows:

z=x-npnp(1-p)=787.5-1064(0.75)1064(0.75)(1-0.75)=-0.74

05

Required probability

Using the standard normal table, the probability of 787 or fewer plants with long stems is equal to:

Px<787.5=Pz<-0.74=0.2296

Thus, the probability of 787 or fewer offspring plants with long stems is approximately equal to 0.2296.

06

Interpretation of the probability value

It can be said that the result of 787 plants with long stems is not significantly low as the probability value is high (not less than 0.05).

This suggests that there is insufficient evidence suggesting that Mendel’s proposed proportion of plants with long stems equal to 0.75 is incorrect. Thus, the test results support Mendel’s claimed proportion of 34.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91Ó°ÊÓ!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Basis for the Range Rule of Thumb and the Empirical Rule. In Exercises 45–48, find the indicated area under the curve of the standard normal distribution; then convert it to a percentage and fill in the blank. The results form the basis for the range rule of thumb and the empirical rule introduced in Section 3-2.

About______ % of the area is between z = -2 and z = 2 (or within 2 standard deviation of the mean).

Continuous Uniform Distribution. In Exercises 5–8, refer to the continuous uniform distribution depicted in Figure 6-2 and described in Example 1. Assume that a passenger is randomly selected, and find the probability that the waiting time is within the given range.

Greater than 3.00 minutes

Sampling with Replacement The Orangetown Medical Research Center randomly selects 100 births in the United States each day, and the proportion of boys is recorded for each sample.

a. Do you think the births are randomly selected with replacement or without replacement?

b. Give two reasons why statistical methods tend to be based on the assumption that sampling is conducted with replacement, instead of without replacement.

Births: Sampling Distribution of Sample Proportion For three births, assume that the genders are equally likely. Construct a table that describes the sampling distribution of the sample proportion of girls from three births. Does the mean of the sample proportions equal the proportion of girls in three births? (Hint: See Exercise 15 for two births.)

Finding Bone Density Scores. In Exercises 37–40 assume that a randomly selected subject is given a bone density test. Bone density test scores are normally distributed with a mean of 0 and a standard deviation of 1. In each case, draw a graph, then find the bone density test score corresponding to the given information. Round results to two decimal places.

Find P10, the 10th percentile. This is the bone density score separating the bottom 10% from the top 90%.

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.