t the claim below about the mean of the differences for a population of paired data at the level of significance α. Assume the samples are random and dependent, and the populations are normally distributed. Claim: μd<0; α=0.01. Sample statistics: d=1.4, sd=3.8, n=19 Question content area bottom Part 1 Identify the null and alternative hypotheses. Choose the correct answer below. A. H0: μd<0 Ha: μd≥0 B. H0: μd=0 Ha: μd≠0 C. H0: μd≥0 Ha: μd<0 D. H0: μd≤0 Ha: μd>0 E. H0: μd>0 Ha: μd≤0 F. H0: μd≠0 Ha: μd=0

t the claim below about the mean of the differences for a population of paired data at the level of significance α. Assume the samples are random and dependent, and the populations are normally distributed. Claim: μd<0; α=0.01. Sample statistics: d=1.4, sd=3.8, n=19 Question content area bottom Part 1 Identify the null and alternative hypotheses. Choose the correct answer below. A. H0: μd<0 Ha: μd≥0 B. H0: μd=0 Ha: μd≠0 C. H0: μd≥0 Ha: μd<0 D. H0: μd≤0 Ha: μd>0 E. H0: μd>0 Ha: μd≤0 F. H0: μd≠0 Ha: μd=0

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.5: Comparing Sets Of Data

Problem 14PPS

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Question content area bottom

Part 1

Identify the null and alternative hypotheses. Choose the correct answer below.

H0:

μd<0

Ha:

μd≥0

H0:

μd=0

Ha:

μd≠0

H0:

μd≥0

Ha:

μd<0

H0:

μd≤0

Ha:

μd>0

H0:

μd>0

Ha:

μd≤0

H0:

μd≠0

Ha:

μd=0

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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