Chapter 5
... can conclude that an entire population of children without TV would be any smarter than the current population of children with nearly universal access to TV. • The major steps of NHT can be summarized as follows: Step 1: Assume that the worst-case scenario— i.e., the null hypothesis (H0)— is true. ...
... can conclude that an entire population of children without TV would be any smarter than the current population of children with nearly universal access to TV. • The major steps of NHT can be summarized as follows: Step 1: Assume that the worst-case scenario— i.e., the null hypothesis (H0)— is true. ...
Stats 95 t-Tests • Single Sample • Paired Samples
... • Does the data supply sufficient evidence to conclude that type of engine meets the new standard, assuming we are willing to risk a Type I error (false alarm, reject the Null when it is true)) with a probability = 0.01? • Step 1: Assumptions: dependent variable is scale, Randomization, Normal Distr ...
... • Does the data supply sufficient evidence to conclude that type of engine meets the new standard, assuming we are willing to risk a Type I error (false alarm, reject the Null when it is true)) with a probability = 0.01? • Step 1: Assumptions: dependent variable is scale, Randomization, Normal Distr ...
Lab on Inference for the population mean
... 3.3) The teacher collects a simple random sample of 25 older students, gives them the test and calculates the sample mean of the scores which happens to be 125.8. You want to make your decision using =0.05 Calculate the test statistic ________________ Calculate the p-value ______________________ ...
... 3.3) The teacher collects a simple random sample of 25 older students, gives them the test and calculates the sample mean of the scores which happens to be 125.8. You want to make your decision using =0.05 Calculate the test statistic ________________ Calculate the p-value ______________________ ...
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... standard Normal curve. They are both symmetric about 0 and bell-shaped. The spread of the t distributions is a bit greater than that of the standard Normal curve (i.e., the t curve is slightly “fatter”). As the degrees of freedom k increase, the t(k) density curve approaches the N(0, 1) curve more c ...
... standard Normal curve. They are both symmetric about 0 and bell-shaped. The spread of the t distributions is a bit greater than that of the standard Normal curve (i.e., the t curve is slightly “fatter”). As the degrees of freedom k increase, the t(k) density curve approaches the N(0, 1) curve more c ...
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... This is clearly greater than 1.0, but is it sufficiently greater to infer that the null hypothesis of equal variances must be rejected? We need a sampling distribution for F'. This is found in Appendix 3 (pp. 544546). Notice that the tables in this appendix are threedimensional tables, i.e., their ...
... This is clearly greater than 1.0, but is it sufficiently greater to infer that the null hypothesis of equal variances must be rejected? We need a sampling distribution for F'. This is found in Appendix 3 (pp. 544546). Notice that the tables in this appendix are threedimensional tables, i.e., their ...
Notes 8-2 Comparing Two Proportions
... If 15 ≤ n1 + n2 < 30, use except in presence of outliers If n1 + n2 30, sample is large enough to use regardless of outliers or skewness by CLT Pooled Two-Sample t Procedures: We do not pool t-tests. Pooling assuming equal σ values. Since σ1 and σ2 are both unknown, why would we assume they are eq ...
... If 15 ≤ n1 + n2 < 30, use except in presence of outliers If n1 + n2 30, sample is large enough to use regardless of outliers or skewness by CLT Pooled Two-Sample t Procedures: We do not pool t-tests. Pooling assuming equal σ values. Since σ1 and σ2 are both unknown, why would we assume they are eq ...
H - Gordon State College
... alternative hypothesis, and express both in symbolic form. • Given a claim and sample data, calculate the value of the test statistic. • Given a significance level, identify the critical value(s). • Given the value of the test statistic, identify the P-value. • State the conclusion of a hypothesis t ...
... alternative hypothesis, and express both in symbolic form. • Given a claim and sample data, calculate the value of the test statistic. • Given a significance level, identify the critical value(s). • Given the value of the test statistic, identify the P-value. • State the conclusion of a hypothesis t ...
+ The Sampling Distribution of
... their home is. Suppose that 35% of all first-year students actually attend college within 50 miles of home. What is the probability that the random sample of 1500 students will give a result within 2 percentage points of this true value? ...
... their home is. Suppose that 35% of all first-year students actually attend college within 50 miles of home. What is the probability that the random sample of 1500 students will give a result within 2 percentage points of this true value? ...
5 - TAMU Stat
... one for Clay, and one for Iron. Put these labels in the first row and the 4 observations of each beneath them (from the 'iron' content column). data data153.dat (a) Make a table giving the sample size, mean, and standard deviation for each type of pot. Is it reasonable to pool the variances? Note th ...
... one for Clay, and one for Iron. Put these labels in the first row and the 4 observations of each beneath them (from the 'iron' content column). data data153.dat (a) Make a table giving the sample size, mean, and standard deviation for each type of pot. Is it reasonable to pool the variances? Note th ...
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... ANOVA – Analysis of Variance Computing the F-test Statistic 1. Compute the sample mean of the combined data set, x 2. Find the sample mean of each treatment (sample), xi 3. Find the sample variance of each treatment (sample), si2 4. Compute the mean square due to treatment, MST 5. Compute the mean ...
... ANOVA – Analysis of Variance Computing the F-test Statistic 1. Compute the sample mean of the combined data set, x 2. Find the sample mean of each treatment (sample), xi 3. Find the sample variance of each treatment (sample), si2 4. Compute the mean square due to treatment, MST 5. Compute the mean ...
